OpenRaiser/Intern-Atlas huggingface dataset:
Retrieval Based on User Behaviour
Authors: André J. Kok, A. M. Botman
Venue: SIGIR
Year: 1988

This paper gives an overview of the ongoing research in the Active Data Bases project at the Vrije Universiteit, Amsterdam. In this project we are specifying and building a system that helps a user in his search for useful and interesting information in large, complex information systems. The system is able to do this, because it learns from the interaction about the users and the data it contains. The indications of the users are expressed in terms of interests in the data, which serve as building blocks for user and data models. These models are then used to improve the search for interesting data.
French Textual Information Systems: The Contribution of Extensional and Intensional Logics
Authors: Sylvie Laine, Omar Larouk, Isabelle Vidalenc
Venue: SIGIR
Year: 1988

Article French textual information systems: the contribution of extensional and intentional logics Share on Authors: S. Laine View Profile , O. Larouk View Profile , I. Vidalenc View Profile Authors Info & Claims SIGIR '88: Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrievalMay 1988 Pages 507–518https://doi.org/10.1145/62437.62494Online:01 May 1988Publication History 1citation202DownloadsMetricsTotal Citations1Total Downloads202Last 12 Months1Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Development of a Large, Concept-Oriented Database for Information Retrieval
Authors: Robert H. Ledwith
Venue: SIGIR
Year: 1988

The development of concept-oriented databases using AI knowledge representation schemes is proposed as a step towards improving the precision and recall of information retrieval systems. Currently underway is the augmentation of a 238,000 citation database, Chemical Abstracts (CA) Volume 105, by addition of detailed conceptual information in the form of frames and hierarchies. The initial text data is parsed using natural language processing (NLP) techniques to create frames describing the semantics of the index entries in the database, with the slots in the frames being pointers into a very large semantic network of conceptual objects (956,000 objects). To examine the resultant knowledge base (KB), a simple hypertext system is proposed, with the conceptual information serving as pathways to connect related citations.
Activity Memory for Text Information Retrieval
Authors: Yan H. Ng, Silvano P. V. Barros
Venue: SIGIR
Year: 1988

A Symbolic Associative Processor (SAP), capable of supporting parallel Keyword Match and Record Match functions, is proposed to select and streamline textual data for information retrieval. Consequently, high volume text data could be analysed on-the-fly before being channelled to CPU, and thus, cushion the impact of Von Neumann bottleneck commonly experienced in applications requiring high I/O bandwidth. This paper identifies some of the system requirements to support text information retrieval using SAP with the aid of simplified examples.
An Outline of a General Model for Information Retrieval Systems
Authors: Jian-Yun Nie
Venue: SIGIR
Year: 1988

This paper is a contribution to the construction of a general model for information retrieval. As in the paper of Van Rijsbergen ([RIJ86]), the implicit base in all information retrieval systems is considered as a logical implication. The measure of correspondence between a document and a query is transformed into the estimation of the strength (or certainty) of logical implication. The modal logics will show its suitability for representing the behavior of information retrieval systems. In existing Information Retrieval models, several aspects are often mixed. A part of this paper is contributed to separate these aspects to give a clearer view of information retrieval systems. This general model is also compared with some existing models to show its generality.
Precedental Data Bases: How and Why They are Worked Out and Used
Authors: B. Pevzner
Venue: SIGIR
Year: 1988

The concept of a “precedental data base” is introduced. It is a linguistic data base consisting of a dictionary of lexical patterns (clishes) and a dictionary of discourses. Some algorithms for textual information processing using precedental data bases are discussed in detail.These systems are installed on mainframe and minicomputers for test runs.
An Information Structure Dealing with Term Dependence and Polysemy
Authors: Peter Schäuble
Venue: SIGIR
Year: 1988

An information structure (IS) that is regarded as a formal description of a domain of discourse is proposed. This IS is aimed at increasing the effectiveness of an information retrieval system. It is shown how the retrieval algorithm can take into account the term dependencies that are provided by the IS. Moreover, these term dependencies can be used by an automatic indexing procedure in order to interpret polysemic terms. The theoretical framework of our IS has some favorable properties. As a consequence, the construction and maintenance of such an IS is simpler than that of a thesaurus.
Query Processing in a Heterogeneous Retrieval Network
Authors: Patricia Simpson
Venue: SIGIR
Year: 1988

The concept of a large-scale information retrieval network incorporating heterogeneous retrieval systems and users is introduced, and the necessary components for enabling term-based searching of any database by untrained end-users are outlined. We define a normal form for expression of queries, show that such queries can be automatically produced, if necessary, from a natural-language request for information, and give algorithms for translating such queries, with little or no loss of expressiveness, into equivalent queries on both Boolean and term-vector type retrieval systems. We conclude with a proposal for extending this approach to arbitrary database models.
Experiment on Incorporation Syntactic Processing of User Queries into a Document Retrieval Strategy
Authors: Alan F. Smeaton, C. J. van Rijsbergen
Venue: SIGIR
Year: 1988

Traditional information has relied on the extensive use of statistical parameters in the implementation of retrieval strategies. This paper sets out to investigate whether linguistic processes can be used as part of a document retrieval strategy. This is done by predefining a level of syntactic analysis of user queries only, to be used as part of the retrieval process. A large series of experiments on an experimental test collection are reported which use a parser for noun phrases as part of the retrieval strategy. The results obtained from the experiments do yield improvements in the level of retrieval effectiveness and given the crude linguistic process used and the way it was used on queries and not on document texts, suggests that the approach of using linguistic processing in retrieval, is valid.
Some Measures and Procedures for Evaluation of the User Interface in an Information Retrieval System
Authors: Jean Tague, Ryan Schultz
Venue: SIGIR
Year: 1988

Planning the evaluation of an information retrieval system involves two steps: first, a determination of performance descriptors and measures appropriate to the system objectives and, secondly, a development of an evaluation design which ensures the effect of variation in components of interest will be isolated and assessed in an unbiased fashion. This paper examines the question of retrieval system evaluation from the perspective of the user. It presents evaluation procedures which are appropriate to this perspective and which can be used to isolate the effect of variation in the user interface to the system. The general procedure is exemplified by an application to evaluation of an experimental OPAC interface.
Intelligent Support for Interface Systems
Authors: F. N. Teskey
Venue: SIGIR
Year: 1988

This paper describes how a language for building interfaces to information systems, that is being developed by the Office of Research at OCLC, can be linked to an artificial intelligence environment, Poplog. A demonstration system, showing how Poplog could provide some intelligent support for a D interface, has been developed. It is suggested that this could form the basis for intelligent support for interface systems.
Correction of Phonographic Errors in Natural Language Interfaces
Authors: Jean Véronis
Venue: SIGIR
Year: 1988

In this paper, we point out that, in applications available to the general public, and/or natural language interfaces, the correction of phonographic errors (which are competence errors) is far more important than the correction of typographical errors (which are simply performance errors). Many studies aimed at the correction of typographical errors have been carried out, but relatively few tackle the problem of phonographic correction, and they are generally based on more or less ad hoc methods. We propose a mathematical framework for phonographic correction by defining a similarity relation between phonetically related substrings and a dissimilarity index between strings. We also provide a simple and efficient algorithm for recognizing words in dictionaries from misspelt inputs including both typographical and phonographic errors.
Integrated Information Retrieval for Law in a Hypertext Environment
Authors: Eve Wilson
Venue: SIGIR
Year: 1988

A prototype information retrieval system for lawyers, Justus, has been developed on a Sun workstation to run in a Guide hypertext environment. The hypertext database is created automatically by Justus from machine readable versions of the ordinary printed texts, ideally the publisher's typesetting tapes. The database incorporates primary legal sources, such as statutes and cases, and secondary sources, such as textbooks and a dictionary. Initially, the lawyer may select any document in the system. From this initial document, he may access any other document, or part of any other document, to which reference is made. Reference selection is by a pointing device, such as a mouse. There is no limit on the number of selections that can be made, and no restrictions on the path through the system.
Linear Structure in Information Retrieval
Authors: S. K. Michael Wong, Yiyu Yao, Peter Bollmann
Venue: SIGIR
Year: 1988

Based on the concept of user preference, we investigate the linear structure in information retrieval. We also discuss a practical procedure to determine the linear decision function and present an analysis of term weighting. Our experimental results seem to demonstrate that our model provides a useful framework for the design of an adaptive system.
Two Learning Schemes in Information Retrieval
Authors: Clement T. Yu, Hirotaka Mizuno
Venue: SIGIR
Year: 1988

Two methods are given to improve weighting schemes by using relevance information of a set of queries. The first method is to estimate parameter values of two independence models in information retrieval — the binary independence model and the non-binary independence model. The parameters estimated here are used to calculate optimal weights for terms in a different set of queries. Performance of this estimation is compared to the inverse document frequency method, the cosine measure, and the statistical similarity measure. The second method is to learn optimal weights of the non-binary independence model adaptively by a learning formula. Experiments are performed on three different document collections CISI, MEDLARS, and CRN4NUL for both methods, and results are reported. Both methods show improvements compared to the existing weighting schemes. Experimental results show that the second method gives slightly better performance than the first one, and has simpler implementation.
Conceptual Representation for Knowledge Bases and "Intelligent" Information Retrieval Systems
Authors: Gian Piero Zarri
Venue: SIGIR
Year: 1988

This paper describes the “conceptual” Knowledge Representation Language (KRL) proper to an environment for the construction and use of large Knowledge Bases and/or “Intelligent” Information Retrieval Systems. In the KRL, we separate the treatment of the episodic memory (extensional, assertional data = “Snoopy is Charlie Brown's beagle”) from the treatment of the semantic memory (intensional, terminological data = A beagle is a sort of hound / a hound is a dog …). A compromise between an “object-oriented approach” and a “logic-oriented approach” is proposed for implementation purposes.
Research Toward the Development of a Lexical Knowledge Base for Natural Language Processing
Authors: Robert A. Amsler
Venue: SIGIR
Year: 1989

This paper documents research toward building a complete lexicon containing all the words found in general newspaper text. It is intended to provide the reader with an understanding of the inherent limitations of existing vocabulary collection methods and the need for greater attention to multi-word phrases as the building blocks of text. Additionally, while traditional reference books define many proper nouns, they appear to be very limited in their coverage of the new proper nouns appearing daily in newspapers. Proper nouns appear to require a grammar and lexicon of components much the way general parsing of text requires syntactic rules and a lexicon of common nouns.
A New Approach to Text Searching
Authors: Ricardo A. Baeza-Yates, Gaston H. Gonnet
Venue: SIGIR
Year: 1989

We introduce a family of simple and fast algorithms for solving the classical string matching problem, string matching with don't care symbols and complement symbols, and multiple patterns. In addition we solve the same problems allowing up to k mismatches. Among the features of these algorithms are that they are real time algorithms, they don't need to buffer the input, and they are suitable to be implemented in hardware.
Adaptive Information Retrieval: Using a Connectionist Representation to Retrieve and Learn About Documents
Authors: Richard K. Belew
Venue: SIGIR
Year: 1989

AIR represents a connectionist approach to the task of information retrieval. The system uses relevance feedback from its users to change its representation of authors, index terms and documents so that, over time, AIR improves at its task. The result is a representation of the consensual meaning of keywords and documents shared by some group of users. The central focus goal of this paper is to use our experience with AIR to highlight those characteristics of connectionist representations that make them particularly appropriate for IR applications. We argue that this associative representation is a natural generalization of traditional IR techniques, and that connectionist learning techniques are effective in this setting.
Indexing Medical Reports in a Multimedia Environment: The RIME Experimental Approach
Authors: Catherine Berrut, Yves Chiaramella
Venue: SIGIR
Year: 1989

This paper focuses on the RIME system aimed to the indexing of medical reports in a multimedia environment. This particular application is viewed as representative of a large set of still unanswered needs of large communities of users: domain experts dealing with on-line specialized documentation such as software engineers, medical specialists and so on. In this application textual information appears as an interesting media to access related pictures in the data base. After the presentation of the application and a study of the particular corpus involved we define a semantic model for the documents which is based on a Conceptual Language. Then we detail the indexing process and its various linguistic components which perform the translation of every medical report according to this semantic model.
Information Retrieval Using a Hypertext-Based Help System
Authors: F. R. Campagnoni, Kate Ehrlich
Venue: SIGIR
Year: 1989

Hypertext offers users a simple, flexible way to navigate through electronic information systems but at the potential risk of becoming lost in the network of interconnected pieces of information. A study was conducted on information retrieval using a commercial hypertext based help system. It was found that the predominant search strategy was “browsing” (characterized by scanning tables of contents and paging through topics), rather than employing the indexes (“analytical search”). Although subjects did not become lost, individuals with better spatial visualization ability, as measured by a standardized test, were faster at retrieving information and returned to the top of the information hierarchy less often than those with poorer spatial visualization ability. These results support previous studies that have found a strong preference by users to browse in hypertext systems and extend those findings to a new domain (help), a different type of user interface, and a different information architecture. In addition, the results demonstrate the importance of spatial visualization ability for efficient navigation and information retrieval in a hierarchical hypertext system.
Multikey Access Methods Based on Term Discrimination and Signature Clustering
Authors: Jae-Woo Chang, Joon Ho Lee, Yoon-Joon Lee
Venue: SIGIR
Year: 1989

In order to improve the two-level signature file method designed by Sacks-Davis et al. [20], we propose new multikey access methods based on term discrimination and signature clustering. By term discrimination, we create separate, efficient access methods for the terms frequently used in user queries. We in addition cluster similar signatures by means of these terms so that we may achieve good performance on retrieval. Meanwhile we provide the space-time analysis of the proposed methods and compare them with the two-level signature file method. We show that the proposed methods achieve 15-30% savings in retrieval time and require 3-9 % more storage overhead.
File Organizations and Access Methods for CLV Optical Disks
Authors: Stavros Christodoulakis, Daniel Alexander Ford
Venue: SIGIR
Year: 1989

A large and important class of optical disc technology are CLV format discs such as CD ROM and WORM. In this paper, we examine the issues related to the implementation and performance of several different file organizations on CLV format optical discs such as CD ROM and WORM. The organizations examined are based on hashing and trees.
Panel on Information Retrieval and Software Reuse
Authors: William B. Frakes
Venue: SIGIR
Year: 1989

Software reuse is widely believed to be the most promising technology for improving software quality and productivity. There are many technical and non-technical problems to be solved, however, before widespread reuse of software lifecycle objects becomes a reality. One class of problem concerns the classification, storage, and retrieval of reusable components. Panel members will discuss these problems and some approaches to solving them.
Optimum Polynomial Retrieval Functions
Authors: Norbert Fuhr
Venue: SIGIR
Year: 1989

We show that any approach to develop optimum retrieval functions is based on two kinds of assumptions: first, a certain form of representation for documents and requests, and second, additional simplifying assumptions that predefine the type of the retrieval function. Then we describe an approach for the development of optimum polynomial retrieval functions: request-document pairs (ƒl, dm) are mapped onto description vectors @@@@(ƒl, dm), and a polynomial function of the form @@@@T · @@@@(@@@@) is developed such that it yields estimates of the probability of relevance P(R|@@@@(ƒl, dm)) with minimum square errors. We give experimental results for the application of this approach to documents with weighted indexing as well as to documents with complex representations. In contrast to other probabilistic models, our approach yields estimates of the actual probabilities, it can handle very complex representations of documents and requests, and it can be easily applied to multi-valued relevance scales. On the other hand, this approach is not suited to log-linear probabilistic models, and it needs large samples of relevance feedback data for its application.
Design of a Browsing Interface for Information Retrieval
Authors: Robert Godin, Jan Gecsei, Claude Pichet
Venue: SIGIR
Year: 1989

In conventional Boolean retrieval systems, users have difficulty controlling the amount of output obtained from a given query. This paper describes the design of a user interface which permits gradual enlargement or refinement of the user's query by browsing through a graph of term and document subsets. This graph is obtained from a lattice automatically generated from the usual document-term relation. The major design features of the proposed interface are the integration of menu, fill-in the blank and direct manipulation modes of interaction within the “fisheye view” [Furnas, 1986] paradigm. A prototype user interface incorporating some of these ideas has been implemented on a microcomputer.
Storing Text Retrieval Systems on CD-ROM: Compression and Encryption Considerations
Authors: Shmuel T. Klein, Abraham Bookstein, Scott C. Deerwester
Venue: SIGIR
Year: 1989

: The emergence of the CD-ROM as a storage medium for full-text databases raises the question of the maximum size database that can be contained by this medium. As an example, the problem of storing the Tr&apos;esor de la Langue Fran¸caise on a CD-ROM is examined in this paper. The text alone of this database is 700 MB long, more than a CD-ROM can hold. But in addition the dictionary and concordance needed to access this data must be stored. A further constraint is that some of the material is copyrighted, and it is desirable that such material be difficult to decode except through software provided by the system. Pertinent approaches to compression of the various files are reviewed and the compression of the text is related to the problem of data encryption: specifically, it is shown that, under simple models of text generation, Huffman encoding produces a bit-string indistinguishible from a representation of coin flips. Categories and Subject Descriptors: E.3 E.4 H.3.2 J.5 General terms: ...
Word Sense Disambiguation Using Machine-Readable Dictionaries
Authors: Robert Krovetz, W. Bruce Croft
Venue: SIGIR
Year: 1989

Article Free AccessWord sense disambiguation using machine-readable dictionaries Authors: R. Krovetz Computer and Information Science Department, University of Massachusetts, Amherst, MA Computer and Information Science Department, University of Massachusetts, Amherst, MAView Profile , W. B. Croft Computer and Information Science Department, University of Massachusetts, Amherst, MA Computer and Information Science Department, University of Massachusetts, Amherst, MAView Profile Authors Info & Claims SIGIR '89: Proceedings of the 12th annual international ACM SIGIR conference on Research and development in information retrievalMay 1989 Pages 127–136https://doi.org/10.1145/75334.75349Published:01 May 1989Publication History 21citation707DownloadsMetricsTotal Citations21Total Downloads707Last 12 Months40Last 6 weeks1 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF