bluuebunny/crossref_metadata_2025 huggingface dataset:
Gated Bayesian Networks
Authors: Bendtsen Marcus  , Peña Jose M.
Published: February 2025

This paper introduces a new probabilistic graphical model called gated Bayesian network (GBN). This model evolved from the need to represent real world processes that include several distinct phases. In essence a GBN is a model that combines several Bayesian networks (BN) in such a manner that they may be active or inactive during queries to the model. We use objects called gates to combine BNs, and to activate and deactivate them when predefined logical statements are satisfied. These statements are based on combinations of posterior probabilities of the variables in the BNs. Although GBN is a new formalism there are features of GBNs that are similar to other formalisms and research, including influence diagrams, context-specific independence and structural adaptation.
Comparison of Clustering Approaches for Gene Expression Data
Authors: Borg Anton  , Lavesson Niklas  , Boeva Veselka
Published: February 2025

Clustering algorithms have been used to divide genes into groups according to the degree of their expression similarity. Such a grouping may suggest that the respective genes are correlated and/or co-regulated, and subsequently indicates that the genes could possibly share a common biological role. In this paper, four clustering algorithms are investigated: k-means, cut-clustering, spectral and expectation-maximization. The algorithms are benchmarked against each other. The performance of the four clustering algorithms is studied on time series expression data using Dynamic TimeWarping distance in order to measure similarity between gene expression profiles. Four different cluster validation measures are used to evaluate the clustering algorithms: Connectivity and Silhouette Index for estimating the quality of clusters, Jaccard Index for evaluating the stability of a cluster method and Rand Index for assessing the accuracy. The obtained results are analyzed by Friedman's test and the Nemenyi post-hoc test. K-means is demonstrated to be significantly better than the spectral clustering algorithm under the Silhouette and Rand validation indices.
Revisiting Inner Entanglements in Classical Planning
Authors: Chrpa Lukáš  , Vallati Mauro
Published: February 2025

In Automated Planning, learning and exploiting structural patterns of plans, domain models and/or problem models, in order to improve plan generation speed-up and increase the scope of problems solved, has attracted much research. Reformulation techniques such as those based on macro-operators or entanglements are very promising, mainly because they are planner-independent. This paper aims to extend and revisit the recent work on inner entanglements, relations between pairs of planning operators and predicates encapsulating exclusivity of predicate ‘achievements’ or ‘requirements’, in order to bring new theoretical results (PSPACE-completeness of deciding inner entanglements), present a new way of encoding of inner entanglements and empirical comparison between different kinds of inner entanglements.
A Case of Hybrid Parsing: Rules Refined by Empirical and Corpus Statistics
Authors: Boguslavsky Igor  , Iomdin Leonid  , Petrochenkov Vadim  , Sizov Victor  , Tsinman Leonid
Published: February 2025

The paper presents a large-coverage rule-based dependency parser for Russian, ETAP-3, and results of its evaluation according to several criteria. The parser takes a morphological structure of a sentence processed as input and builds a dependency tree for this sentence using a set of syntactic rules. Each rule establishes one labeled and directed link between two words of a sentence that form a specific syntactic construction. The parser makes use of about 65 different syntactic links. The rules are applied by an algorithm that at first builds all possible hypothetical links and then uses a variety of filters to delete excessive links so that the remaining ones form a dependency tree. Several types of data collected either empirically or from a syntactically tagged corpus of Russian, SynTagRus, are used at this filtering stage to refine the parser performance. The parser utilizes a highly structured 130,000-strong Russian dictionary, whose entries contain detailed descriptions of syntactic, semantic and other properties of words. A notable proportion of the links in the output trees are non-projective. An important feature of the parser is its ability to produce multiple parses for the same sentence. In a special mode of operation, the parser may be instructed to produce more parsing outputs in addition to the first one. This can be done automatically or interactively. In the evaluation, SynTagRus is viewed as a gold standard. Evaluation results show the figures of 0.911 for unlabeled attachment score, 0.874 for labeled attachment score, 0.507 for unlabeled structure correctness, and 0.360 for labeled structure correctness.
Looking Behind the Scenes of Syntactic Dependency Corpus Annotation: Towards a Motivated Annotation Schema of Surface-Syntax in Spanish
Authors: Burga Alicia  , Mille Simon  , Wanner Leo
Published: February 2025

Over the last decade, the prominence of statistical NLP applications that use syntactic rather than only word-based shallow clues increased very significantly. This prominence triggered the creation of large scale treebanks, i.e., corpora annotated with syntactic structures. However, a look at the annotation schemata used across these treebanks raises some issues. Thus, it is often unclear how the set of syntactic relation labels has been obtained and how it can be organized so as to allow for different levels of granularity in the annotation. Furthermore, it appears questionable that despite the linguistic insight that syntax is very much language-specific, multilingual treebanks often draw upon the same schemata, with little consideration of the syntactic idiosyncrasies of the languages involved. Our objective is to detail the procedure for establishing an annotation schema for surface-syntactic annotation of Spanish and present a restricted set of easy-to-use criteria and a methodology which facilitate the decision process of the annotators, but which can also accommodate for the elaboration of a more or a less fine-grained tagset. The procedure has been tested on a Spanish 3,513 sentence corpus, a fragment of the AnCora newspaper corpus.
Towards Semi-Automatic Identification of Functional Requirements in Legal Texts for Public Administration
Authors: Yoshida Yutaka  , Honda Kozo  , Sei Yuichi  , Nakagawa Hiroyuki  , Tahara Yasuyuki  , Ohsuga Akihiko
Published: February 2025

There is a need for the development of systems that are compliant with laws in public administration, because their administrative activities are based on laws. When new laws are made or existing laws are amended, however, civil servants need to develop or modify the systems in the short time before the laws are issued. Related work in requirements elicitation from the legal texts includes approaches using ontology but there are difficulties in building an ontology for practical use. In this paper we propose pre-defined templates with the expression of functional requirements to identify legal texts, including their functional requirements, and a support tool consisting of two functions, one for automatic summary creation from complicated legal texts and one for the suggestion of the legal texts, including their functional requirements. We have also applied this approach to Japanese laws and have evaluated its accuracy. Our research revealed that using this approach can identify functional requirements with high accuracy.
Ontology-driven Data Acquisition: Intelligent Support to Legal ODR Systems
Authors: Arosio G.  , Bagnara G.  , Capuano N.  , Fersini E.  , Toti D.
Published: February 2025

We describe a system for computer-assisted writing of legal documents via a question-based mechanism. This system relies upon an underlying ontological structure meant to represent the data flow from the user's input, and a corresponding resolution algorithm, implemented within a local engine based on a Last-State Next-State model, for navigating the structure and providing the user with meaningful domain-specific support and insight. This system has been successfully applied to the scenario of civil liability for motor vehicles and is part of a larger framework for self-litigation and legal support.
A Mutual Resource Exchanging Model in Mobile Computing and its Applications to Universal Battery and Bandwidth Sharing
Authors: Yoshida Naofumi
Published: February 2025

The resource exchanging is the key function in mobile computing environment. We have the limitation of the capacity for every single mobile device. The only way for efficient use of limited resources is exchanging them each other in mobile environment. In this paper, a mutual resource exchanging model in mobile computing is proposed. Furthermore, two applications of the model are shown. The first one is a universal battery. It enables us to exchange resources of electricity from one to another mobile device. The second application is bandwidth resource sharing among mobile devices. It provides the mobility of bandwidth from devices with surplus network connectivity to other devices that requires more network bandwidth. By this model, flexible and elastic usability can be implemented on mobile devices in mobile computing environment.
Unsupervised Classification of Evolving Metropolitan Street Patterns
Authors: Serra Miguel  , Gil Jorge  , Pinho Paulo
Published: February 2025

The definition of urban typomorphologies is fundamental both for the description as well as for the prescription of urban form. However, urban typomorphologies are traditionally defined through time-consuming analytical procedures, which are based mainly on the personal knowledge and ability of the analyst and on ad-hoc generalizations. Such generalizations are also usually context dependent and apparently not fit to deal with contemporary metropolitan and suburban forms, whose emergent and very different morphologies have until now eluded stringent classifications. In this paper we explore the possibility of defining urban typomorphologies through the use of nonsupervised hierarchical and non-hierarchical classification techniques, focusing on urban street patterns.
Open Surgical Simulation (OSS) – A Community Resource
Authors: Kelliher Timothy  , Lenoir Julien  , Novotny Paul  , Scheirich Harald
Published: February 2025

The OpenSurgSim system (www.opensurgsim.org) has been in development for the past 18 months. This open-source system is designed to provide the foundation for development of surgical simulators. The system combines years of learning the ins and outs of simulator design with best practices from other successful open-source projects.
Expansion of a VR Exposure Therapy System for Combat-Related PTSD to Medics/Corpsman and Persons Following Military Sexual Trauma
Authors: Rizzo Albert  , Hartholt Arno  , Rothbaum Barbara  , Difede JoAnn  , Reist Chris  , Kwok David  , Leeds Andrew  , Spitalnick Josh  , Talbot Thomas  , Adamson Todd  , Buckwalter J. Galen
Published: February 2025

The stressful experiences that have been characteristic of the combat environments in Iraq and Afghanistan have produced significant numbers of returning service members at risk for developing posttraumatic stress disorder and other psychosocial/behavioral health conditions. This paper describes a set of projects that are expanding the content for inclusion in a newly updated “Virtual Iraq/Afghanistan” Virtual Reality system for the delivery of exposure therapy (VRET) for PTSD with Service Members and Veterans. In addition to the complete rebuilding of this VRET system using the latest version of the Unity Game Engine, the system's content and functionality has been expanded to now support the use of VRET with combat medics/corpsmen and persons who have experienced military sexual trauma (MST). The focus of this paper is to present the rationale and general overview of the progress on these projects that will provide new relevant and customizable options for conducting VRET with a wider range of trauma experiences.
The Effect of Contextual Sound Cues on Visual Fidelity Perception
Authors: Rojas David  , Cowan Brent  , Kapralos Bill  , Collins Karen  , Dubrowski Adam
Published: February 2025

Previous work has shown that sound can affect the perception of visual fidelity. Here we build upon this previous work by examining the effect of contextual sound cues (i.e., sounds that are related to the visuals) on visual fidelity perception. Results suggest that contextual sound cues do influence visual fidelity perception and, more specifically, our perception of visual fidelity increases with contextual sound cues. These results have implications for designers of multimodal virtual worlds and serious games that, with the appropriate use of contextual sounds, can reduce visual rendering requirements without a corresponding decrease in the perception of visual fidelity.
New Study Program: Interdisciplinary Postgraduate Specialist Study in Medical Informatics
Authors: Hercigonja-Szekeres Mira  , Šimić Diana  , Božikov Jadranka  , Vondra Petra
Published: February 2025

Paper presents an overview of the EU funded Project of Curriculum Development for Interdisciplinary Postgraduate Specialist Study in Medical Informatics named MEDINFO to be introduced in Croatia. The target group for the program is formed by professionals in any of the areas of medicine, IT professionals working on applications of IT for health and researchers and teachers in medical informatics. In addition to Croatian students, the program will also provide opportunity for enrolling students from a wider region of Southeast Europe. Project partners are two faculties of the University of Zagreb – Faculty of Organization and Informatics from Varaždin and School of Medicine, Andrija Štampar School of Public Health from Zagreb with the Croatian Society for Medical Informatics, Croatian Chamber of Economy, and Ericsson Nikola Tesla Company as associates.
Transcutaneous Assessment of Glomerular Filtration Rate
Authors: Geraci Stefania  , Herrera-Pérez Zeneida  , Huang Jianguo  , Weinfurter Stefanie  , Neudecker Sabine  , Shulhevich Yury  , Friedemann Jochen  , Pill Johannes  , Gretz Norbert
Published: February 2025

Glomerular filtration rate (GFR) is considered the best parameter for the assessment of renal function, being usually determined on the basis of urine or plasma clearance of exogenous renal markers. The common methodology is invasive, time consuming and cumbersome, with multiple blood and/or urine sampling and following laboratory assays required. The method detailed here allows to transcutaneously determine the renal function in awake animals, in a non-invasive and efficient manner by using an electronic device which detects the fluorescence emitted through the skin from the renal marker FITC-Sinistrin. A crucial target has been to improve the fixation of the device, which is dependent on the skin structure. For validation, the technique has been compared with the classical clearance method, and its robustness has been demonstrated in healthy and diseased murine models. Moreover, the method allows sequential measurements in the same individual. Thus progression and recovery of renal failure can be followed. Therefore, its future application in humans would allow an accurate and appropriate prediction and monitoring of patients with established kidney disease over time. Furthermore, it will be possible to observe those patients under other pathological conditions with associated risk of developing renal problems.
End-to-End Encryption for Personal Telehealth Systems
Authors: Öllerer Gerald  , Mense Alexander
Published: February 2025

Data from personal health devices is expected to be an important part of personalized care in future, but communication frameworks for such data create new challenges for security and privacy. Continua Health Alliance has been very active and successful in defining guidelines and a reference architecture for transmitting personal health device data based on well-known international standards. But looking at the security definitions, the concepts are still facing open issues and weaknesses like identity management or missing end-2end (E2E) encryption. This paper presents an approach for an E2E encryption framework based on Continua's reference architecture and the underlying base standards. It introduces the basic process and proposes necessary extensions to the architecture as well as to the standardized protocols of ISO/IEEE 11073 and HL7 version 2.
Mobile Display of Information about Aggregated Antibiotic Resistance in the Hospital Setting Supported by Near Field Communication
Authors: Meng Philipp  , Fehre Karsten  , Rappelsberger Andrea  , Adlassnig Klaus-Peter
Published: February 2025

Antibiotic resistance is a heterogeneous phenomenon. It does not only differ between countries or states, but also between wards of hospitals, where different resistance patterns have been found. To support clinicians in administering empiric antibiotic therapy, we developed software to present information about antibiotic resistance using a mobile concept. A pre-existing infrastructure was deployed as the server component. The systems analyze and aggregate data from laboratory information systems, generating statistical data on antibiotic resistance. The information is presented to the Android client using a Representational State Transfer (REST) interface. Geographical localization is performed using near field communication (NFC) tags. The prototype provides tabulated data concerning antibiotic resistance patterns in the wards of a hospital. Using Android, NFC, and data caching, the usability of the system is estimated to be high. We hypothesize that antibiotic stewardship in hospitals can be supported by this software, thus improving medical monitoring of antibiotic resistance. Future studies in a productive environment are needed to measure the impact of the system on the outcome of patient care.
Can Smartphone-Based Logging Support Diabetologists in Solving Glycemic Control Problems?
Authors: Tiefengrabner Martin  , Domhardt Michael  , Oostingh Gertie J.  , Schwenoha Karin  , Stütz Thomas  , Weitgasser Raimund  , Ginzinger Simon W.
Published: February 2025

Treatment of diabetic patients strongly relies on the continuous logging of parameters relevant to glycemic control. Keeping diabetes diaries can be tedious which can affect the data quality and completeness. Mobile technologies could provide means to overcome these limitations. However, studies analyzing the direct effect on the treatment of patients are rare. In the presented study diabetic patients were supplied with a smartphone application to record various parameters relevant for glycemic control. Questions regarding the completeness of diabetes diaries were answered by the patients before and after the study. The attending diabetologist analyzed the data obtained from the smartphone-based diaries to determine whether these provided solutions for problems in glycemic control. The analysis of the available smartphone data provided the basis for therapeutic recommendations that can improve the daily glycemic control for almost all participants. Importantly, especially the newly developed implicit-activity logging, registering the participants' movements, provided important means to generate these recommendations.
Integrating the Hospital Information System (HIS) into the Austrian Electronic Health Record (“ELGA”) Using the Example of the Health Care Facility “Breitenstein”
Authors: Bonstingl Martina
Published: February 2025

The health care facility “Breitenstein” makes use of a hospital information system to coordinate clinical processes and document medical health data. So as to comply with novel Austrian legislation and fit the “ELGA” architecture, the system has to be adapted. This paper is based on a literature research and gives answers to technical and legal aspects of “ELGA”. The introduction of an IHE connector and a CDA manager are the main changes to the current hospital information system. The implementation of interfaces that allow an integration of further “ELGA” features possible are the next step of the project.
A Fleet Management System Based on Complex Event Processing
Authors: Berndtsson Mikael  , Admyre Marco  , Strand Mattias
Published: February 2025

This paper describes our approach and experiences of applying techniques in complex event processing to fleet management systems. Current fleet management systems do not have support for complex event processing, hence they are limited to reacting to simple events such as door open, and vehicle reached waypoint. We argue that fleet management systems can benefit from having support for complex event processing. In this paper we present an implemented fleet management system that supports complex event processing.
Framework of Risk-based Decision Support System in Crime Investigation
Authors: Mohamad Noor Noor Maizura  , Ghazali Ahmad Faiz  , Mohd Saman Md Yazid  , Mohd Nor Mohd Nazli
Published: February 2025

Decision-making processes involve conscious and unconscious consideration that can be estimated qualitatively or quantitatively. It can be divided into several phases, including before or after making decisions. Risk concept can be integrated into decision-making processes in order to provide more evaluation besides merely depends on criteria and alternatives. Risk impact, risk averse, risk acceptance, and risk residual are some of the parts from risk assessment that can be included in computerized decision-making using decision support system (DSS). This DSS can then be implemented in either many organizations' strategic plan, any private companies, public universities or law enforcements.
What's Trending in IS Social Media Research
Authors: Doyle Cathal  , Neville Karen  , Sammon Dave
Published: February 2025

Due to the popularity of social media amongst individuals and organsiations, it has become an emerging phenomena for academic research, evidenced by the volume of papers published in ICIS, AMCIS, and ECIS. This paper gives a snapshot of this research, highlighting the trends across the following categorisations: paper type (empirical vs. non empirical), research design, theories used and theory type, and theoretical strength. This provides an understanding of the emerging field of social media, with the results indicating that it remains consistent with the IS discipline. Empirical research is much more published than non-empirical, as well as case studies and surveys being the dominant research designs. It is also evident that there is tentative agreement on what the underpinning characteristics of social media are, so these are extracted and explained from the literature.
What Does Consistency Index of a Pairwise Comparison Measure? — Review of its Role
Authors: Sato Yuji
Published: February 2025

This paper reviews the role of Consistency Index of Analytic Hierarchy Process (AHP). On the hypothesis that the index is able to discriminate the consistency of judgments, discriminating power of the index is verified. The verification is carried out through survey questionnaire consisting of questions asking the same issue in different ways; one using so called ranking method, the other requires respondents to conduct pairwise comparisons. The result implies that the Consistency Index may not be able to distinguish the consistency of judgment.
An Extended Dijkstra's Algorithm for Calculating Alternative Routes for Evacuee Agents in Disaster Simulation
Authors: Asakura Koichi  , Watanabe Toyohide
Published: February 2025

This paper proposes an extended Dijkstra's algorithm for calculating alternative routes for evacuee agents in a disaster simulation system. In a disaster simulation, evacuee agents may not be able to utilize the shortest routes to the shelters because the disaster may make some roads on these shortest routes impassable. Our algorithm includes the extension of Dijkstra's algorithm so that alternative routes can be calculated. Experimental results show that the processing time of our algorithm is about one and a half times that of Dijkstra's original algorithm. However, when an evacuee agent reaches an impassable road, Dijkstra's algorithm must be executed again to calculate other routes. Thus, our algorithm can calculate evacuation routes faster than Dijkstra's algorithm when many roads in the disaster area are impassable.
A Method for Representing Mathematical Expressions as Words in Natural Language
Authors: Watabe Takayuki  , Miyazaki Yoshinori
Published: February 2025

In this paper, we propose a framework for a system that correctly selects words that refer to mathematical concepts used in a mathematical expression that is entered, in order to help mathematical novices understand the expression. Our system processes data formatting for MathML Presentation Markup, pattern matching for the structure of mathematical expressions and the selection of appropriate words corresponding to mathematical symbols.
A Decision Concept for the Economic Evaluation of Different Recycling Paths in the Dismantling of End-of-Life Vehicles
Authors: Clappier Marcel  , Helbig Tobias  , Königsberger Jan  , Schütten-Breitenbach Julia  , Taheri Kamran
Published: February 2025

Due to the scarcity of raw materials, the recycling of end-of-life vehicles is becoming increasingly important. The essential decision for the cycle of materials is made in the dismantling company which disassembles the vehicle parts and determines the further recycling path: reuse as a replacement part, specific substantial exploitation or exploitation by shredding. This decision is the central aspect of this paper, taking into account the economic aspects, the uncertainties of the market and the applicability of the method. Therefore a detailed cost analysis model is presented, including a method for prediction of the replacement part market. In addition an IT concept is presented to visualize the result of the analysis and support the decision making.
Implementation of Novel Quasi-Orthogonal Matrices for Simultaneous Images Compression and Protection
Authors: Vostrikov Anton  , Chernyshev Stanislav
Published: February 2025

this paper presents an assessment of the possibility of use of new quasiorthogonal M-matrixes for protection (“masking”) of visual information (images and video) and its simultaneous compression using the so-called “strip method”. The unique properties of M-matrixes allow for using them as a basis to extract spectral components, and as a private key. The results presented in this paper demonstrate the potential for the simultaneous compression of quantized frequency domain data and for detection of deviations occurred during transmission. When conducting experiments, most assessments take into account the incredibly fast growth of resolution of digital images and very gradually developing performance of electronic components. The paper presents the results of the very first assessments of applicability of M-matrixes for simultaneous protection and compression and precedes the comprehensive comparative studies.
Lighter-Than-Air Stationary Unmanned Observation Platform Concept
Authors: Bil Cees
Published: February 2025

The benefits of stationary aerial platforms for continuous observation of a fixed area are evident in cases such as natural disasters, environmental monitoring, intelligence gathering, etc. A still photo is useful but temporal information, over many days, is in many cases critical to determine the best possible response. Satellites are the most obvious instrument for this purpose, but have limitations in terms of positioning time, time on station and cost. Conventional UAVs are another solution, but have limited endurance. Technological developments in lighter-than-air (LTA) systems have made them an attractive option for carrying a sensor suite to high altitudes. For example, using light weight and high strength materials, closed balloons can be manufactured, so-called super-pressure balloons that are capable of maintaining a constant altitude without the need for venting or ballast. The challenge is to make these balloons controllable for station keeping and do so without limiting their endurance. This paper highlights some of the opportunities of this new technology and how it can be applied for long duration and temporal data gathering. A possible design concept is presented with some simulation results for station-keeping control under variable wind conditions.
3D Visual SLAM using RGB-D Camera
Authors: Krerngkamjornkit Rapee  , Simic Milan
Published: February 2025

Simultaneous Localization and Mapping (SLAM) is a process of building a map of an unknown environment and at the same time calculating current robot position. The aim of our investigation was to find a robust method to generate 3D maps with the use of latest sensor technologies like a RGB-D camera. We introduced 3D Visual SLAM framework by suggesting a system configuration for localization method, integrated with keyframe-based approach to accommodate need for backend processing. Loop closing system and post graph optimization were defined. This framework produces impressive results compared with other state of the art algorithms. The applications for our 3D Visual SLAM include MAVs vision navigation, environment perception and vision-based control system.
National project for remote teaching of Russian Language in Russia and worldwide using smart technology
Authors: Bonch-Osmolovskaya Tatiana
Published: February 2025

Russian New University, one of well-established non-government universities in Russia, has started working on the Russian Ministry of Education and Science project aimed at the teaching of Russian language to every category of students worldwide via Internet. The working group for the project has conducted an in-depth study of the requirements for the educational levels and profiles of remote studying of Russian language abroad. Based on this study, RosNOU project team has decided to choose a cloud technology as the basis for realization of the project. By the proposed scheme, the same type of software is required for realization of the project, because it allows achieving the unity of standards for the preparation of educational content, as well as approaches for implementation of the educational process with the use of distant teaching technologies. The developed model and the concept of its managing mechanisms should be tested in order to make specific decisions about their implementation in practice of education.
From Home Computer to Smart Device
Authors: Lang Geraint
Published: February 2025

This paper sets out to reflect upon an aspect of the evolution in online learning with reference to one of the first wholly online undergraduate work based degrees.
Symbolic Explanations of Generalized Fuzzy Reasoning
Authors: Szałas Andrzej
Published: February 2025

Various generalizations of fuzzy reasoning are frequently used in decision making. While in many application areas it is natural to assume that truth degrees of a property and its complement sum up to 1, such an assumption appears problematic, e.g., in modeling ignorance. Therefore, in some generalizations of fuzzy sets, degrees of membership in a set and in its complement are separated and are no longer required to sum up to 1. In frequent cases, this separation of positive and negative evidences for concept membership is more natural.
Information needs of researchers in a bibliographic databases environment: a literature review
Authors: de Andrade Morgana Carneiro  , Baptista Ana Alice
Published: February 2025

This article presents a literature review whose aim was to identify the reported infonnation needs of researchers when they consult bibliographic databases. Initially, 192 articles were retrieved using Scopus, Web of Science and Google Scholar databases. After applying the criteria for exclusion, the number of articles was reduced to 16, which is already an indicator of the small number of studies on this specific topic. The results show that it is hard to identify thc information needs of researchers. They also show that the researchers have been requiring information with a higher degree of granularity. We conclude that although the available studies provide important infonnation about the researchers' information necds and hints on how to address thcm, there is a necd for more indepth studies. Thc results of these decper studies may be useful to scrvc as an indication for the creation of new procedures and tools, including those based on new metadata elements drawn to improve search results on Linked Open Data tools.
Representing Nursing Guideline with Unified Modeling Language to Facilitate Development of a Computer System: A Case Study
Authors: Choi Jeeyae  , Choi Jeungok E.
Published: February 2025

To provide best recommendations at the point of care, guidelines have been implemented in computer systems. As a prerequisite, guidelines are translated into a computer-interpretable guideline format. Since there are no specific tools to translate nursing guidelines, only a few nursing guidelines are translated and implemented in computer systems. Unified modeling language (UML) is a software writing language and is known to well and accurately represent end-users' perspective, due to the expressive characteristics of the UML. In order to facilitate the development of computer systems for nurses' use, the UML was used to translate a paper-based nursing guideline, and its ease of use and the usefulness were tested through a case study of a genetic counseling guideline. The UML was found to be a useful tool to nurse informaticians and a sufficient tool to model a guideline in a computer program.
Opportunities in Interdisciplinary Care Team Adoption of Electronic Point-of-Care Documentation Systems
Authors: Sockolow Paulina S.  , Bowles Kathryn H.  , Rogers Michelle  , Adelsberger Marguerite C.  , Chittams Jesse L.  , Liao Cindy
Published: February 2025

We conducted three evaluation studies in community and hospital settings to examine point-of-care documentation system adoption among interdisciplinary care team clinicians. In the community settings, quantitative methods included documentation time-to-completion and a clinician satisfaction survey. Qualitative methods included observations and follow-up interviews. Qualitative data and quantitative data were merged comparing findings along themes. In the hospitals, qualitative scenario testing results indicated clinician system adoption was universal, though not always timely. At all sites, mismatch between system functionality and workflow was a barrier to clinician system access during patient care and reduced clinician efficiency. Clinicians at all settings were satisfied with their ability to access other clinicians' notes, without increased interdisciplinary team communication. Clinicians did not identify any systems impact on patient outcomes. To facilitate adoption, clinicians should see the value of using the system as intended by receiving system data feedback that shows improvement of patient care and patient safety.
On Computing Explanations in Abstract Argumentation
Authors: Fan Xiuyi  , Toni Francesca
Published: February 2025

Argumentation can be viewed as a process of generating explanations. We propose a new argumentation semantics, related admissibility, for closely capturing explanations in Abstract Argumentation, and distinguish between compact and verbose explanations. We show that dispute forests, composed of dispute trees, can be used to correctly compute these explanations.
Social network data analysis for event detection
Authors: Garcia-Gasulla Dario  , Alvarez-Napagao Sergio  , Tejeda-Gómez Arturo  , Oliva-Felipe Luis  , Gómez-Sebastià Ignasi  , Bejar Javier  , Vázquez-Salceda Javier
Published: February 2025

Cities concentrate enough Social Network (SN) activity to empower rich models. We present an approach to event discovery based on the information provided by three SN, minimizing the data properties used to maximize the total amount of usable data. We build a model of the normal city behavior which we use to detect abnormal situations (events). After collecting half a year of data we show examples of the events detected and introduce some applications.
On the Use of Target Sets for Move Selection in Multi-Agent Debates
Authors: Kontarinis Dionysios  , Bonzon Elise  , Maudet Nicolas  , Moraitis Pavlos
Published: February 2025

In debates, agents are faced with the problem of deciding how to best contribute to the current state of the debate in order to satisfy their own goals. Target sets specify minimal changes on the current state of the debate that are required to achieve such goals, where changes are the addition and/or deletion of attacks among arguments. However, agents may not have the ability to implement all the actions prescribed by a target set, nor to rely on others to help them to do so. In this short paper we provide evidence that this notion is still a useful criterion for move selection.
Modeling Gaze Mechanisms for Grounding in HRI
Authors: Mehlmann Gregor  , Janowski Kathrin  , Baur Tobias  , Häring Markus  , André Elisabeth  , Gebhard Patrick
Published: February 2025

Grounding is essential in human interaction and crucial for social robots collaborating with humans. Gaze plays versatile roles for establishing, maintaining and repairing the common ground. It is combined with parallel modalities and involved in several processes for behavior generation and recognition. We present a uniform modeling approach focusing on the multi-modal, parallel and bidirectional aspects of gaze and their interleaving with the dialog logic.
Exploiting the Semantic Web for Systems Diagnosis
Authors: Schumann Anika  , Lécué Freddy  , Ploennigs Joern
Published: February 2025

Diagnosis is the task of explaining abnormal behaviors of systems like telecommunication, transportation or energy systems. Given a sequence of observations the problem is to determine, online, all faults that are in line with these observations. Many approaches tackle this problem but they either require domain expertise or a formal description of how observations and faults are connected. This limits their scope to the diagnosis of well-understood faults. We address the problem of diagnosing faults that may occur for the first time and present a new diagnosis approach that integrates techniques for analyzing semantic descriptions of observations and faults.
Simultaneous Tracking and Activity Recognition (STAR) using Advanced Agent-Based Behavioral Simulations
Authors: Fansi T. Arsène  , Thomas Vincent  , Buffet Olivier  , Flacher Fabien  , Dutech Alain
Published: February 2025

Tracking and understanding moving pedestrian behaviors is of major concern for a growing number of applications. Classical approaches either consider both problems separately or treat them simultaneously on the basis of limited contextual graphical models. In this paper, we consider tackling both problems jointly based on richer contextual information issued from agent-based behavioral simulators designed for realistically reproducing human behaviors within complex environments. We focus on the single target case and experimentally show that the proposed approach keeps good performances even in case of long periods of occlusion.
Noised Diffusion Dynamics with Individual Biased Opinion
Authors: Yan Fuhan  , Li Zhaofeng  , Jiang Yichuan
Published: February 2025

In online social network, the personal information dissemination behavior is reported to be affected by the clash of social individuals' biased opinions. In this paper, we present a model to discuss the influence of individual biased opinion on diffusion dynamics. Based on multi-agent simulations, we obtain some conclusions which are helpful for recommender systems and in controlling diffusion. In addition, our study offers potential avenues for the study of diffusion dynamics with personal biases.
Abduction and Dialogical Proof in Argumentation and Logic Programming
Authors: Booth Richard  , Gabbay Dov  , Kaci Souhila  , Rienstra Tjitze  , van der Torre Leendert
Published: February 2025

We develop a model of abduction in abstract argumentation, where changes to an argumentation framework act as hypotheses to explain the support of an observation. We present dialogical proof theories for the main decision problems (i.e., finding hypotheses that explain skeptical/credulous support) and we show that our model can be instantiated on the basis of abductive logic programs.
Condition Monitoring with Incomplete Observations
Authors: Vlasselaer Jonas  , Meert Wannes  , Langone Rocco  , De Raedt Luc
Published: February 2025

We introduce an approach for predicting the behaviour of a machine during a production cycle. Typical data analysis methods assume that continuous behaviour is (fully) observed. This assumption is unrealistic as monitored machines are often interrupted and restarted at irregular points in time. We study the resulting problem, propose a solution and report on a use-case in wire drawing.
Real-time Adaptive Problem Detection in Poultry
Authors: Woudenberg Steven P.D.  , van der Gaag Linda C.  , Feelders Ad  , Elbers Armin R.W.
Published: February 2025

Real-time identification of unexpected values upon monitoring the production parameters of egg laying hens is quite challenging, as the collected data includes natural variability in addition to chance fluctuation. We present an adaptive method for calculating residuals that reflect the latter type of fluctuation only, and thereby provide for more accurate detection of potential problems. We report on the application of our method to real-world poultry data.
Knowledge and Gossip
Authors: Attamah Maduka  , van Ditmarsch Hans  , Grossi Davide  , van der Hoek Wiebe
Published: February 2025

A well-studied phenomenon in network theory are optimal schedules to distribute information by one-to-one communication between nodes. One can take these communicative actions to be ‘telephone calls’, and this process of spreading information is known as gossiping [4]. It is typical to assume a global scheduler who simply executes a possibly non-deterministic protocol. Such a protocol can be seen as consisting of a sequence of instructions “first, agent a calls b, then c, next, d calls b ...”. We investigate epistemic gossip protocols, where an agent a will call another agent not because it is so instructed but based on its knowledge or ignorance of the factual information that is distributed over the network. Such protocols therefore don't need a central schedular, but they come at a cost: they may take longer to terminate than non-epistemic, globally scheduled, protocols. We describe various epistemic protocols, we give their logical properties, and we model them in a number of ways.
A Single-Agent Approach to Multiagent Planning
Authors: Crosby Matthew  , Jonsson Anders  , Rovatsos Michael
Published: February 2025

In this paper we present a novel approach to multiagent planning in domains with concurrent actions and associated concurrent action constraints. In these domains, we associate the actions of individual agents with subsets of objects, which allows for a transformation of the problems into single-agent planning problems that are considerably easier to solve. The transformation forces agents to select joint actions associated with a single subset of objects at a time, and ensures that the concurrency constraints on this subset are satisfied. Joint actions are serialised such that each agent performs their part of the action separately. The number of actions in the resulting single-agent planning problem turns out to be manageable in many real-world domains, thus allowing the problem to be solved efficiently using a standard single-agent planner. We also describe a cost-optimal algorithm for compressing the resulting plan, i.e. merging individual actions in order to reduce the total number of joint actions. Results show that our approach can handle large problems that are impossible to solve for most multiagent planners.
Argumentation Accelerated Reinforcement Learning for Cooperative Multi-Agent Systems
Authors: Gao Yang  , Toni Francesca
Published: February 2025

Multi-Agent Learning is a complex problem, especially in real-time systems. We address this problem by introducing Argumentation Accelerated Reinforcement Learning (AARL), which provides a methodology for defining heuristics, represented by arguments, and incorporates these heuristics into Reinforcement Learning (RL) by using reward shaping. We define AARL via argumentation and prove that it can coordinate independent cooperative agents that have a shared goal but need to perform different actions. We test AARL empirically in a popular RL testbed, RoboCup Takeaway, and show that it significantly improves upon standard RL.
Knowledge-based Bias Correction – A Case Study in Veterinary Decision Support
Authors: Krak Thomas E.  , van der Gaag Linda C.
Published: February 2025

In collaboration with experts from veterinary research institutes throughout Europe, we developed a decision-support system for the early detection of Classical Swine Fever in pigs. For evaluating our system's diagnostic performance, practitioners and researchers collected data from the real-world field and from laboratory experiments. Originating from different sources, these data could not be viewed as constituting an unbiased sample from a single probability distribution. In this paper, we present a knowledge-based method for correcting the biases in estimates from such divergent data. We demonstrate the use of our method for estimating the sensitivity and specificity characteristics of our veterinary decision-support system.
Qualitative Spatial and Temporal Reasoning with AND/OR Linear Programming
Authors: Kreutzmann Arne  , Wolter Diedrich
Published: February 2025

This paper explores the use of generalized linear programming techniques to tackle two long-standing problems in qualitative spatio-temporal reasoning: Using LP as a unifying basis for reasoning, one can jointly reason about relations from different qualitative calculi. Also, concrete entities (fixed points, regions fixed in shape and/or position, etc.) can be mixed with free variables. Both features are important for applications but cannot be handled by existing techniques. In this paper we discuss properties of encoding constraint problems involving spatial and temporal relations. We advocate the use of AND/OR graphs to facilitate efficient reasoning and we show feasibility of our approach.
Trust-based belief change
Authors: Lorini Emiliano  , Jiang Guifei  , Perrussel Laurent
Published: February 2025

We propose a modal logic that supports reasoning about trust-based belief change. The term trust-based belief change refers to belief change that depends on the degree of trust the receiver has in the source of information.
A Cluster-Based Approach to Improve Similarity-Based Retrieval for Process-Oriented Case-Based Reasoning
Authors: Müller Gilbert  , Bergmann Ralph
Published: February 2025

In case-based reasoning, improving the performance of the retrieval phase is still an important research issue for complex case representations and computationally expensive similarity measures. This holds particularly for the of retrieval workflows, which is a recent topic in process-oriented case-based reasoning. While most index-based retrieval methods are restricted to attribute-value representations, the application of a MAC/FAC retrieval approach introduces significant additional domain-specific development effort due to design the MAC phase. In this paper, we present a new index-based retrieval algorithm, which is applicable beyond attribute-value representations without introducing additional domain-specific development effort. It consists of a new clustering algorithm that constructs a cluster-based index structure based on case similarity, which helps finding the most similar cases more efficiently. The approach is developed and analyzed for the retrieval of semantic workflows. It significantly improves the retrieval time compared to a linear retriever, while maintaining a high retrieval quality. Further, it achieves a similar performance than the MAC/FAC retriever if the case base has a cluster structure, i.e., if it contains groups of similar cases.