OpenRaiser/Intern-Atlas huggingface dataset:
Image Decompression: A Hybrid Image Decompressing Algorithm
Authors: Chengjie Luo, Clement T. Yu
Venue: SIGIR
Year: 1991

Article A hybrid bilevel image decode algorithm for group 4 FAX Share on Authors: Chengjie Luo Department of Electrical Engineering and Computer Science, University of Illinois at Chicago, Chicago, IL Department of Electrical Engineering and Computer Science, University of Illinois at Chicago, Chicago, ILView Profile , Clement Yu Department of Electrical Engineering and Computer Science, University of Illinois at Chicago, Chicago, IL Department of Electrical Engineering and Computer Science, University of Illinois at Chicago, Chicago, ILView Profile Authors Info & Claims SIGIR '91: Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrievalSeptember 1991 Pages 82–91https://doi.org/10.1145/122860.122869Online:01 September 1991Publication History 0citation245DownloadsMetricsTotal Citations0Total Downloads245Last 12 Months4Last 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 SiteGet Access
An Efficient Directory System for Document Retrieval
Authors: Dalia Motzkin
Venue: SIGIR
Year: 1991

This paper introduces a file shown that this structure achieves a better overall performance than inverted files, standard B-trees, and other directory structures.
Image Query Processing Based on Multi-Level Signatures
Authors: Fausto Rabitti, Pasquale Savino
Venue: SIGIR
Year: 1991

This paper describes the processing of queries, expressing conditions on the content of images, in large image databases. The query language assumes that a semantic interpretation of the image content is available (i.e. an image symbolic interpretation), as result of an image analysis process. The image query language addresses important aspects of the image interpretations resulting from image analysis, by defining partial conditions on the composition of the complex objects, requirements on tkir degree of recognition, and requirements on their position in tk image interpretation. Particukzr emphasis is given on the definition of suitable content-based access structures to make more ejjicient the query processing.
Creating Segmented Databases from Free Text for Text Retrieval
Authors: Lisa F. Rau, Paul S. Jacobs
Venue: SIGIR
Year: 1991

Article Free Access Share on Creating segmented databases from free text for text retrieval Authors: Lisa F. Rau Artificial Intelligence Laboratory, GE Research and Development Center, Schenectady, NY Artificial Intelligence Laboratory, GE Research and Development Center, Schenectady, NYView Profile , Paul S. Jacobs Artificial Intelligence Laboratory, GE Research and Development Center, Schenectady, NY Artificial Intelligence Laboratory, GE Research and Development Center, Schenectady, NYView Profile Authors Info & Claims SIGIR '91: Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrievalSeptember 1991 Pages 337–346https://doi.org/10.1145/122860.122894Online:01 September 1991Publication History 8citation444DownloadsMetricsTotal Citations8Total Downloads444Last 12 Months11Last 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
The SMART Information Retrieval System after 30 years - Panel
Authors: Gerard Salton
Venue: SIGIR
Year: 1991

Article The smart document retrieval project Share on Author: Gerard Salton Cornell University Cornell UniversityView Profile Authors Info & Claims SIGIR '91: Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrievalSeptember 1991 Pages 356–358https://doi.org/10.1145/122860.122897Online:01 September 1991Publication History 29citation1,108DownloadsMetricsTotal Citations29Total Downloads1,108Last 12 Months29Last 6 weeks8 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
Automatic Text Structuring and Retrieval: Experiments in Automatic Encyclopedia Searching
Authors: Gerard Salton, Chris Buckley
Venue: SIGIR
Year: 1991

Many conventional approaches to text analysis and information retrieval prove ineffective when large text collections must be processed in heterogeneous subject areas. An alternative text manipulation system is outlined useful for the retrieval of large heterogeneous texts, and for the recognition of content similarities between text excerpts, based on flexible text matching procedures carried out in several contexts of different scope. The methods are illustrated by search experiments performed with the 29-volume Funk and Wagnalls encyclopedia.
Analysis of Unintended Connections Between Disjoint Science Literatures
Authors: Don R. Swanson
Venue: SIGIR
Year: 1991

Article Complementary structures in disjoint science literatures Share on Author: Don R. Swanson Center for Information and Language Studies, University of Chicago Center for Information and Language Studies, University of ChicagoView Profile Authors Info & Claims SIGIR '91: Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrievalSeptember 1991 Pages 280–289https://doi.org/10.1145/122860.122889Online:01 September 1991Publication History 31citation686DownloadsMetricsTotal Citations31Total Downloads686Last 12 Months10Last 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 SiteGet Access
A Complete Model for Information Retrieval Systems
Authors: Jean Tague, Airi Salminen, Charles McClellan
Venue: SIGIR
Year: 1991

Article Free Access Share on Complete formal model for information retrieval systems Authors: Jean Tague School of Library and Information Science, The University of Western Ontario, London, Ontario, Canada N6G 1H1 School of Library and Information Science, The University of Western Ontario, London, Ontario, Canada N6G 1H1View Profile , Airi Salminen School of Library and Information Science, The University of Western Ontario, London, Ontario, Canada N6G 1H1 School of Library and Information Science, The University of Western Ontario, London, Ontario, Canada N6G 1H1View Profile , Charles McClellan School of Library and Information Science, The University of Western Ontario, London, Ontario, Canada N6G 1H1 School of Library and Information Science, The University of Western Ontario, London, Ontario, Canada N6G 1H1View Profile Authors Info & Claims SIGIR '91: Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrievalSeptember 1991 Pages 14–20https://doi.org/10.1145/122860.122862Online:01 September 1991Publication History 13citation503DownloadsMetricsTotal Citations13Total Downloads503Last 12 Months3Last 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
Incorporating a Semantic Analysis into a Document Retrieval Strategy
Authors: Edgar B. Wendlandt, James R. Driscoll
Venue: SIGIR
Year: 1991

Current information retrieval systems focus on the use of keywords to respond to user queries. We propose the additional use of surface level knowledge in order to improve the accuracy of information retrieval. Our approach is based on the database concept of semantic modeling (particularly entities and relationships among entities). We extend the concept of query-document similarity by recognizing basic entity properties (attributes) which appear in text. We also extend query-document similarity using the linguistic concept of thematic roles. Thematic roles allow us to recognize relationship properties which appear in text. We include several examples to illustrate our approach. Test results which support our approach are reported. The test results concern searching documents and using their contents to perform the intelligent task of answering a question.
Preference Structure, Inference and Set-Oriented Retrieval
Authors: Yiyu Yao, S. K. Michael Wong
Venue: SIGIR
Year: 1991

Article Free Access Share on Preference structure, inference and set-oriented retrieval Authors: Y. Y. Yao Department of Computer Science, University of Regina, Regina, Saskatchewan, Canada S4S 0A2 Department of Computer Science, University of Regina, Regina, Saskatchewan, Canada S4S 0A2View Profile , S. K. M. Wong Department of Computer Science, University of Regina, Regina, Saskatchewan, Canada S4S 0A2 Department of Computer Science, University of Regina, Regina, Saskatchewan, Canada S4S 0A2View Profile Authors Info & Claims SIGIR '91: Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrievalSeptember 1991 Pages 211–218https://doi.org/10.1145/122860.122881Online:01 September 1991Publication History 5citation314DownloadsMetricsTotal Citations5Total Downloads314Last 12 Months4Last 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 SiteeReaderPDF
An Object-Oriented Modelling of the History of Optimal Retrievals
Authors: Yong Zhang, Vijay V. Raghavan, Jitender S. Deogun
Venue: SIGIR
Year: 1991

Article An object-oriented modeling of the history of optimal retrievals Share on Authors: Yong Zhang Center for Advanced Computer Studies, University of Southwestern Louisiana, Lafayette, LA Center for Advanced Computer Studies, University of Southwestern Louisiana, Lafayette, LAView Profile , Vijay V. Raghavan Center for Advanced Computer Studies, University of Southwestern Louisiana, Lafayette, LA Center for Advanced Computer Studies, University of Southwestern Louisiana, Lafayette, LAView Profile , Jitender S. Deogun Department of Computer Science and Engineering, University of Nebraska, Lincoln, NE Department of Computer Science and Engineering, University of Nebraska, Lincoln, NEView Profile Authors Info & Claims SIGIR '91: Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrievalSeptember 1991 Pages 241–250https://doi.org/10.1145/122860.122885Published:01 September 1991 1citation259DownloadsMetricsTotal Citations1Total Downloads259Last 12 Months3Last 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 SiteGet Access
Incremental Relevance Feedback
Authors: IJsbrand Jan Aalbersberg
Venue: SIGIR
Year: 1992

Although relevance feedback techniques have been investigated for more than 20 years, hardly any of these techniques has been implemented in a commercial full-text document retrieval system. In addition to pure performance problems, this is due to the fact that the application of relevance feedback techniques increases the complexity of the user interface and thus also the use of a document retrieval system. In this paper we concentrate on a relevance feedback technique that allows easily understandable and manageable user interfaces, and at the same time provides high-quality retrieval results. Moreover, the relevance feedback technique introduced unifies as well as improves other well-known relevance feedback techniques.
Design of an OPAC Database to Permit Different Subject Searching Accesses in a Multi-Disciplines Universities Library Catalogue Database
Authors: Maristella Agosti, Maurizio Masotti
Venue: SIGIR
Year: 1992

This paper presents searching approaches and user interface capabilities of DUO, an Online Public Access Catalogue (OPAC) designed to permit the users of three Universities of the Northeast of Italy different subject searching accesses to the co-operative multi-disciplines library catalogue database.The co-operative catalogue database is managed by one of the software systems developed under the italian national project for library automation: the SBN project. Since the SBN database has not been designed to be efficiently accessed for end-user searches, the DUO database has been designed to avoid duplication of the SBN database data and to be usable for making efficient subjects accesses to the catalogue documents. The DUO design choices are presented, in particular the main choice of designing a “virtual” document that corresponds to each SBN document and that has unstructured data usable for subject search purposes.The paper presents a new kind of user-OPAC dialogue that makes available to the user different search approaches and on-line dictionaries. In particular the user during the interaction with the search tool can represent his information needs with the support of interface capabilities that are based on retrieval path history, and words and codes on-line dictionaries.DUO is the first Italian OPAC that has been made openly available to users of universities and research institutions. For this reason, it is also the first time that OPAC log data is going to be collected in Italy. This work mainly intends to make a modern OPAC available to the users of a SBN catalogue database, but it is going to permit also to build up a knowledge on OPAC usage in Italy.
Cognitive Differences in End User Searching of a CD-ROM Index
Authors: Bryce Allen
Venue: SIGIR
Year: 1992

Cognitive abilities of fifty university students were tested using eight tests from the Kit of Factor-Referenced Cognitive Tests. All students searched for references on the same topic using a standard computerized index, and performance in the searches was analyzed using a variety of measures. Effects for cognitive differences, as well as for differences in demographic characteristics and knowledge, were identified using multiple regression. Perceptual speed had an effect on the quality of searches, and logical reasoning, verbal comprehension, and spatial scanning abilities influenced search tactics. It is suggested that information retrieval systems can be made more accessible to users with different levels of cognitive abilities through improvements that will assist users to scan lists of terms, choose appropriate vocabulary for searching, and select useful references.
Versioning a Full-text Information Retrieval System
Authors: Peter G. Anick, Rex A. Flynn
Venue: SIGIR
Year: 1992

In this paper, we present an approach to the incorporation of object versioning into a distributed full-text information retrieval system. We propose an implementation based on “partially versioned” index sets, arguing that its space overhead and query-time performance make it suitable for full-text IR, with its heavy dependence on inverted indexing. We develop algorithms for computing both historical queries and time range queries and show how these algorithms can be applied to a number of problems in distributed information management, such as data replication, caching, transactional consistency, and hybrid media repositories.
Latent Semantic Indexing is an Optimal Special Case of Multidimensional Scaling
Authors: Brian T. Bartell, Garrison W. Cottrell, Richard K. Belew
Venue: SIGIR
Year: 1992

Latent Semantic Indexing (LSI) is a technique for representing documents, queries, and terms as vectors in a multidimensional real-valued space. The representations are approximations to the original term space encoding, and are found using the matrix technique of Singular Value Decomposition. In comparison, Multidimensional Scaling (MDS) is a class of data analysis techniques for representing data points as points in a multidimensional real-valued space. The objects are represented so that inter-point similarities in the space match inter-object similarity information provided by the researcher. We illustrate how the document representations given by LSI are equivalent to the optimal representations found when solving a particular MDS problem in which the given inter-object similarity information is provided by the inner product similarities between the documents themselves. We further analyze a more general MDS problem in which the interdocument similarity information, although still...
Automatic Document Classification: Natural Language Processing, Statistical Analysis, and Expert System Techniques used together
Authors: M. J. Blosseville, Georges Hébrail, M. G. Monteil, N. Pénot
Venue: SIGIR
Year: 1992

In this paper we describe an automated method of classifying research project descriptions: a human expert classifies a sample set of projects into a set of disjoint and pre-defined classes, and then the computer learns from this sample how to classify new projects into these classes. Both textual and non-textual information associated with the projects are used in the learning and classification phases. Textual information is processed by two methods of analysis: a natural language analysis followed by a statistical analysis. Non-textual information is processed by a symbolic learning technique. We present the results of some experiments done on real data: two different classifications of our research projects.
Retrieval Activities in a Database Consisting of Heterogeneous Collections of Structured Text
Authors: Forbes J. Burkowski
Venue: SIGIR
Year: 1992

The first part of this paper briefly describes a mathematical framework (called the containment model) that provides the operations and data structures for a text dominated database with a hierarchical structure. The database is considered to be a hierarchical collection of continuous extents each extent being a word, word phrase, text element or non-text element. The filter operations making up a search command are expressed in terms of containment criteria that specify whether a contiguous extent will be selected or rejected during a search. This formalism, comprised of the mathematical framework and its associated language, defines a conceptual layer upon which we can construct a well-defined higher level layer, specifically the user interface that serves to provide a level of functionality that is closer to the needs of the user and the application domain.With the conceptual layer established, we go on to describe the design and implementation of a versatile interface which handles queries that search and navigate a heterogeneous collection of structured documents. Interface functionality is provided by a set of “worker” modules supported by an “environment” that is the same for all interfaces. The interface environment allows a worker to communicate with the underlying text retrieval engine using a well-defined command protocol that is based on a small set of filter operators. The overall design emphasizes: a) interface flexibility for a variety of search and browsing capabilities, b) the modular independence of the interface with respect to its underlying retrieval engine, and c) the advantages to be accrued by defining retrieval commands using operators that are part of a text algebra that provides a sound theoretical foundation for the database.
A Loosely-Coupled Integration of a Text Retrieval System and an Object-Oriented Database System
Authors: W. Bruce Croft, Lisa Ann Smith, Howard R. Turtle
Venue: SIGIR
Year: 1992

Document management systems are needed for many business applications. This type of system would combine the functionality of a database system, (for describing, storing and maintaining documents with complex structure and relationships) with a text retrieval system (for effective retrieval based on full text). The retrieval model for a document management system is complicated by the variety and complexity of the objects that are represented. In this paper, we describe an approach to complex object retrieval using a probabilistic inference net model, and an implementation of this approach using a loose coupling of an object-oriented database system (IRIS) and a text retrieval system based on inference nets (INQUERY). The resulting system is used to store long, structured documents and can retrieve document components (sections, figures, etc.) based on their contents or the contents of related components. The lessons learnt from the implementation are discussed.
A Textual Object Management System
Authors: Scott C. Deerwester, Keith Waclena, Michelle LaMar
Venue: SIGIR
Year: 1992

Computer programs that access significant amounts of text usually include code that manipulates the textual objects that comprise it. Such programs include electronic mail readers, typesetters and, in particular, full-text information retrieval systems. Such code is often unsatisfying in that access to textual objects is either efficient, or flexible, but not both. A programming language like Awk or Perl provides very general facilities for describing textual objects, but at the cost of rescanning the text for every textual object. At the other extreme, full-text information retrieval systems usually offer access to a very limited number of kinds of textual objects, but this access is very efficient. The system described in this paper is a programming tool for managing textual objects. It provides a great deal of flexibility, giving access to very complex document structure, with a large number of constituent kinds of textual objects. Further, it provides access to these objects very efficiently, both in terms of time and auxiliary space, by being very careful to access secondary storage only when absolutely necessary.
Integration of Probabilistic Fact and Text Retrieval
Authors: Norbert Fuhr
Venue: SIGIR
Year: 1992

In this paper, a model for combining text and fact retrieval is described. A query is a set of conditions, where a single condition is either a text or fact condition. Fact conditions can be interpreted as being vague, thus leading to nonbinary weights for fact conditions with respect to database objects. For text conditions, we use descriptions of the occurence of terms in documents instead of precomputed indexing weights, thus treating terms similar to attributes. Probabilistic indexing weights for conditions are computed by introducing the notion of correctness (or acceptability) of a condition w.r.t. an object. These indexing weights are used in retrieval for a probabilistic ranking of objects based on the retrieval for a probabilistic ranking of objects based on the retrieval-with-probabilistic-indexing (RPI) model, for which a new derivation is given here.