bluuebunny/crossref_metadata_2025_split huggingface dataset:
Convergence and synergy: Social Q&A meets virtual reference services
Authors: Radford Marie L. , Connaway Lynn Silipigni , Shah Chirag 
Published: January 2013

AbstractThis paper presents a preliminary analysis of online information services that examines the intersection of two areas of research: Virtual Reference Services (VRS) and Social Q&A (SQA). This project embraces the idea of a synergic collaboration within and between VRS and SQA to provide higher quality content to information seekers and a higher level of sustainability. Preliminary findings are described that emanate from a grant‐funded project: Cyber Synergy: Seeking Sustainability through Collaboration between Virtual Reference and Social Q&A Sites, which is being supported by the Institute for Museum and Library Services (IMLS). Early stages of the grant project activities include VRS transcript analysis and interviews with online Q&A end users (students) and experts (university librarians). Analysis reveals that VRS questions address a broad range of subjects, predominantly social sciences and technology. Largest numbers of question types are Procedural and Ready Reference. An analysis of accuracy for the subset of Ready Reference questions was found to be high, 90 percent correct, although only 75 percent were found to be correct with citation cited. Interviews with information seekers and providers in both VRS and SQA environments revealed important differences in how experts and end‐users perceive online Q&A services, leaving clues as to how it may be possible to start bridging these systems.
Using bootstrapping to identify protein locations
Authors: Blake Catherine , Zheng Wu 
Published: January 2013

AbstractAutomated methods that leverage both large quantities of text, and knowledge resources are increasingly being used to identify relations from the web. One of the challenges with these approaches is that quantity of relations identified makes it difficult to evaluate system performance. Our goal in this paper is to demonstrate how bootstrapping can be used to identify subcellular location relations of proteins, which is a critically important to biologists in order to understand protein function. Specifically, we use protein‐location pairs in the UniProt knowledge base and dependency paths from a collection of text, to infer new proteins, new locations and new protein‐location pairs. Our second goal is to conduct a detailed manual analysis of the first iteration of the bootstrapping process. Such an analysis reveals pitfalls of this approach and enables us to conclude with specific recommendations to improve bootstrapping performance in subsequent iterations.
Task difficulty and domain knowledge effects on information search behaviors
Authors: Liu Chang , Liu Jingjing , Cole Michael , Belkin Nicholas J. , Zhang Xiangmin 
Published: January 2013

AbstractThis study explores the effect of task difficulty on search behavior changes for users with high and low domain knowledge. A user experiment (n=40) was conducted using 5 search tasks. Participants rated their knowledge of MeSH terms (n=409) and were divided into two domain knowledge levels. Three of the tasks were designed to be difficult tasks with very few relevant documents returned by our search system and two tasks were easy, with many relevant documents returned. Our results showed that in Difficult tasks, users spent significantly longer dwell time on search result pages and visited significantly more content pages than in Easy tasks. In addition, there was an interaction effect of task difficulty and domain knowledge on dwell time of content pages and the percentage of dwell time on content pages to the task completion time. Our results demonstrate that the dwell time on search result pages is a better indicator of task difficulty than the dwell time on content pages if users' domain knowledge level is unknown. Our results have implications for personalization of information retrieval.
Value and context in data use: Domain analysis revisited
Authors: Weber Nicholas M. , Baker Karen S. , Thomer Andrea K. , Chao Tiffany C. , Palmer Carole L. 
Published: January 2013

Abstract“Context” is an elusive concept in Information Science –often invoked, and yet rarely explained. In this paper we take a domain analytic approach to examine five sub‐disciplines within Earth Systems Science to show how the contexts of data production and use impact the value of data. We argue simply that the value of research data increases with their use. Our analysis is informed by two economic perspectives: first, that data production needs to be situated within a broader information economy; and second, that the concept of anti‐fragility helps explain how data increase in value through exposure to diverse contexts of use. We discuss the importance of these perspectives for the development of information systems capable of facilitating interdisciplinary scientific work, as well as the design of sustainable cyberinfrastructures.
Barriers to collaborative information seeking in organizations
Authors: Karunakaran Arvind , Reddy Madhu 
Published: January 2013

AbstractThere has been a growing interest within the information sciences and HCI communities to understand the role of collaboration in facilitating information seeking. This focus had led to the emergence of the research area of collaborative information seeking (CIS). Although researchers are starting to identify various activities and mechanisms that underlie CIS, we know very little about the barriers to CIS. In this study, we used Mechanical Turk (MTurk) to gather data from 307 participants to understand the barriers to CIS in organizations. Through our data analysis, we identified a variety of barriers that hinder CIS. These barriers fell under four broad categories – organizational, technical, individual, and team. These barriers also had a strong temporal component which we highlight in the discussion. From these findings, we discuss some design implications for information retrieval systems.
Organization or conversation in Twitter: A case study of chatterboxing
Authors: Moulaison Heather Lea , Burns C. Sean 
Published: January 2013

AbstractThis paper reports on a case study of Twitter posts (tweets) by chatterboxers to study whether theories of organization of information are applicable to the study of user‐supplied labels in Twitter. Chatterboxing is the act of watching a televised event such as the Super Bowl and using a second screen to engage with others, primarily in real time. Researchers have used communication theory as a framework for study of Twitter, considering both #hashtags and @mentions to be primarily communicative. To ascertain whether #hashtags may be fundamentally different and amenable to study as organizational conventions as well, we first compared differences between usage of #hashtags and @mentions during the Super Bowl by taking tweets from three locations identified as heavily invested in the event (hometowns of the teams and the location of the game: Boston, NYC, Indianapolis) and tweets from locations that were not invested (Dallas, Miami, Seattle). Non‐parametric statistical comparisons were made between tweets from the three invested and non‐invested groups to ascertain whether the uses of labeling conventions were identical. Next a qualitative analysis of a subset of non‐location specific tweets supplied information about the content of tweets, the aboutness of #hashtags, and the placement of #hashtags in the tweets. Our findings indicate that #hashtags and @mentions do have two separate functions but that location has a positive influence on their statistical dependency. We also find that #hashtags are used as organizational mechanisms and can reflect aboutness. Specifically, #hashtags are used to describe in order to categorize and to retrieve in order to follow or join a conversation, and future studies should be able to use theories of organization of information to analyze these labels as a way of complementing their otherwise communicative nature.
Library and information science in the big data era: Funding, projects, and future [a panel proposal]
Authors: Sugimoto Cassidy R. , Ding Ying , Thelwall Mike 
Published: January 2013

AbstractThis panel will provide insights into current funding initiatives that support Big Data projects, in the wake of the White House commitment to devote $200 million to Big Data research. Participants in Digging into Data, an international Big Data initiative, will describe their research. The panel will then trigger an audience‐discussion on the tools, techniques, and theories that LIS can bring to Big Data research and the role that the LIS discipline should play in this new era.
Analysis and automatic classification of web search queries for diversification requirements
Authors: Bhatia Sumit , Brunk Cliff , Mitra Prasenjit 
Published: January 2013

AbstractSearch result diversification enables the modern day search engines to construct a result list that consists of documents that are relevant to the user query and at the same time, diverse enough to meet the expectations of a diverse user population. However, all the queries received by a search engine may not benefit from diversification. Further, different types of queries may benefit from different diversification mechanisms. In this paper we present an analysis of logs of a commercial web search engine and study the web search queries for their diversification requirements. We analyze queries based on their click entropy and popularity and propose a query taxonomy based on their diversification requirements. We then carry out the task of automatically classifying web search queries into one of the classes of our proposed taxonomy. We utilize various query‐based, click‐based and reformulation‐based features for the query classification task and achieve strong classification results.
Content divide: Africa and the global knowledge footprint sponsored by: SIG/III
Authors: Assefa Shimelis , Rorissa Abebe , Alemneh Daniel Gelaw , Albright Kendra 
Published: January 2013

AbstractThe purpose of this panel is to discuss the global knowledge output at a macro level with a view to understand key inputs that foster scientific and research performance. Here, knowledge production is limited to scientific and technical journals and patent registrations to gauge the performance of each region and continent the world over. Greater emphasis will be placed to highlight important indicators from the input side that help spur national research and innovation systems in Africa. Defined here as “content divide,” panel members focus on key variables that help build scientific and research capabilities of Africa. Closely interrelated variables that will be discussed include (1) access to the global knowledge base, (2) the role of higher education systems (3) national, regional, and global research and education networks (RENs); and (4) gross expenditure on R&D (GERD).
Panel: Semantic metadata as linked data building blocks
Authors: Busch Joseph A , Hlava Marjorie , Zeng Marcia Lei , Hodge Gail 
Published: January 2013

AbstractIn the Linked Data movement, value vocabularies (such as the Linked Data version of a thesaurus or a classification scheme) and metadata element sets (which are generally made concrete through RDF Schemas or OWL ontologies) have become the building blocks of any dataset that joins the CKAN Linked Data hub of the Open Knowledge Foundation (2012). Evidence can be seen either from analyzing the datasets in the Data Hub or by browsing through the long list of the value vocabularies and metadata element sets included in one of the three deliverables of the W3C Library Linked Data Incubator Group Final Report (2011). This panel will introduce the concept of semantic metadata and the two types of vocabularies involved, discuss how value vocabularies are transformed in order for machine to process and understand, present new use cases of the conventional knowledge organization systems (KOS) in the Semantic Web environment, and report the findings regarding publishing semantic assets, describing and accessing them, and enabling their interoperability in the Semantic Web environment.
Integrating collaborative bibliography and research
Authors: Shaw Ryan , Golden Patrick , Buckland Michael 
Published: January 2013

AbstractWe report on the design and implementation of an innovative shared work‐environment “Editors' Notes” (http://editorsnotes.org/), especially the use of an open‐source bibliographical reference management platform (Zotero) in conjunction with a continuously updated corpus of the working notes of three leading documentary editing projects and the curatorial notes of a library special collection. The benefits, constraints, and affordances of using Zotero in a one‐way relationship with the text corpus are described and additional possibilities are noted.
What happens once you categorize files into folders?
Authors: Oh Kyong Eun 
Published: January 2013

AbstractThis study examined a post phase of personal information organization in an attempt to investigate the dynamics of personal information organization. To collect data, eleven participants were asked to record diary entries for a week whenever they saved or organized their information in digital forms. Then, a first interview was conducted to ask how they organized the information files. About 2‐4 weeks after the first interview, a second interview was conducted to examine what happened after files were categorized into folders. Interviews were recorded, transcribed and analyzed by using a grounded theory approach to find out what decisions were made after files were categorized into folders, and why participants made such decisions. The initial analysis of the results showed that once information files are organized into folders, people keep them in the folder, move them to other personal devices, re‐categorize them either by organizing them into different folders or splitting the existing category, or delete them. By focusing on the post phase of personal information organization which has been rarely investigated, this study deepens our understanding about personal information organization. In addition, the results of this study have practical implication for human computer interaction (HCI) studies in designing tools, devices and interfaces that are more effective in supporting individuals' personal information management (PIM).
First‐generation college students' information seeking: Their personality traits and source use behavior in coursework‐related context
Authors: Tsai Tien‐I , Kim Kyung‐Sun 
Published: January 2013

AbstractThis study examines first‐generation college (FGC) students' information seeking in coursework‐related situations and the relationship between personality and source use behavior. A web survey was used to collect data. Four‐hundred and fifty FGC students participated in the study. A two‐step cluster analysis was used to identify three subgroups of personality profiles from the sample. Multivariate analyses of variance (MANOVA) and multiple regression analyses were used to analyze the data. Results show that extroverts used human sources more frequently across all coursework‐related situations and tended to consult peers in the same course in their information seeking processes. Conscientious students tended to consult professors and advisors in their coursework‐related information seeking processes. Calm and open‐minded extroverts consulted human sources (both experts and non‐experts) more often and used more diverse sources than nervous and close‐minded introverts. The study enriches FGC student literature in information behavior and further incorporates personality traits as predictors of information use. The study also implies that universities and academic libraries should support orientation programs and organizations that can help FGC students, especially introverts, develop their social networks and have an easy transition into college.
Do I trust google? An exploration of how people form trust in cloud computing
Authors: Kim Sarah , Yoon Ayoung 
Published: January 2013

AbstractThe present study explores individual end‐users' perspectives of cloud computing, especially issues regarding their trust/distrust of cloud services. While current cloud computing service development focuses on adoption by enterprises and organizations, individual end‐users who use cloud services in their everyday lives also constitute an important consumer group. Challenges of trust in cloud computing have gained social and scholarly attention accompanied with the rise of privacy and data security concerns. Studies that investigate individual end‐users' views of trust in cloud services, however, are rare. Using semi‐structured interviews and a survey questionnaire, the present study aims to capture how ordinary individuals think about cloud computing and how they form their trust/distrust of cloud services and service providers. In this poster, authors present preliminary results of analysis of interview data.
Habitat Tracker: Engaging students with scientific inquiry through technology and curriculum support
Authors: Alemanne Nicole D. , Sampson Victor , Marty Paul F. , Kazmer Michelle M. , Douglas Ian , Clark Amanda , Southerland Sherry A. , Mendenhall Anne 
Published: January 2013

AbstractThis poster presents preliminary results from the second year of a three‐year project designed to help elementary students learn about scientific inquiry and become active participants in their own science education. Florida State University has developed a set of technologies (an iPad application and website) integrated with a standards‐based nature of science and scientific inquiry curriculum called Habitat Tracker. Preliminary analysis of the students' task engagement shows that this project has the potential to support student engagement during field trips to natural wildlife centers. Current results will inform future iterations of the project, and improve support for science teachers integrating museum field trips and classroom activities.
Health information needs on diseases: A coding schema development for analyzing health questions in social Q&A
Authors: Oh Sanghee , Zhang Yan , Park Min Sook 
Published: January 2013

AbstractHealth‐related questions users posted on social Q&A sites are a representation of consumers' real‐life needs for health information. To tap into this source for a deeper understanding of general people's health information needs and information searching behavior, this poster reports an attempt to develop a coding schema for analyzing disease‐related questions in social Q&A sites. The developed schema could serve as a basis for analyzing a wide range of topics in health. It could also guide the implementation of automatic data mining approaches to analyze the vast amount of data generated on social media platforms.
Library anxiety among international graduate students
Authors: Lu Yunhui , Adkins Denice 
Published: January 2013

AbstractWhile few studies have explored library anxiety among international graduate students in the United States, Jiao and Onwuegnuzie's study (1999) of international graduate and undergraduate students identified mechanical barriers as the greatest source of library anxiety among international students. Building on this, the current pilot study investigated the level of library anxiety among 15 international graduate students in the United States, using a modified version of Bostick's (1992) Library Anxiety Scale (LAS) with a proposed Language & Cultural Barriers subscale. Findings from the pilot study revealed that mechanical barriers were the smallest source of library anxiety, and affective and staff barriers were the greatest sources of library anxiety. No significant gender or disciplinary differences were found in terms of the level of library anxiety among international graduate students. The results of this pilot study also provided the basis for the refinement of instrument.
Someone's loss might be your gain: A case of negative results publications in science
Authors: Curty Renata G. , Tang Jian 
Published: January 2013

AbstractThis poster reports a research in progress which investigates the academic influence of a scientific journal dedicated to publishing negative results. Based on a case study of Journal of Negative Results in Biomedicine (JNRBM), this research examines the academic influence of this journal through citation impact, authors' productivity, and authorship international diversity. Preliminary findings show that JNRBM has an active participation of international scholars with high productivity in their academic disciplines, while citation counts of published articles are still polarized. These results imply that journals publishing negative results are beneficial for triggering discussions and debates on current models, and tenets or dogmas, although they still gain limited attention from the academic community.
Uncovering visualization properties that confuse
Authors: Oh Kyong Eun , Bemis Karen , Ma Xiaojuan , Tremaine Marilyn , Silver Deborah 
Published: January 2013

AbstractThree dimensional visualizations are becoming one of the popular web visualization techniques; however, studies show that for some users, comprehending 3D visualizations is not easy. This research investigated what makes 3D visualizations difficult to understand with the purpose of using this knowledge to develop training to improve visualization literacy. In particular, we focused on the difficulties that individuals have with orientation problems in which they are asked to re‐orient themselves to a visual scene from a different viewpoint, something that happens quite often in 3D information visualizations. For our research, we used complex 3D cubes as our experiment problems and sliced the cubes in different ways such that the slices matched the visual orientation a person would naturally take when viewing the slice or required the person to take a different orientation to best determine the features of the slice being made. We then compared performance on recognizing slices that matched a viewer's orientation to that of slices that required a re‐orientation. Our results indicated that the problems requiring a reorientation were significantly less accurate.
Studying scatter/gather browsing for web search
Authors: Gong Xuemei , Ke Weimao , Khare Ritu 
Published: January 2013

AbstractThis study aims to investigate the effectiveness of Scatter/Gather browsing for information retrieval. We conduct a within‐subject study of 24 subjects, in which each user conducts searches on a Scatter/Gather system and a classic web search system, and provides feedback and comments. Eleven out of twenty four subjects consider that Scatter/Gather system helps them complete the tasks more effectively as it sorts the results and filters out useless information. We discuss strengths and weaknesses of Scatter/Gather compared to a classic web search interface and examine influences of topic characteristics on Scatter/Gather effectiveness. It is suggested that topic familiarity and specificity have significantly influences on several categories of user perceived retrieval effectiveness. The influences appear to be greater with the Scatter/Gather system. We find that viewing time has a moderate positive correlation with relevance and usefulness of a web page, which are highly correlated to each other.