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1 - 10 of 25
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Modeling the retrieval process for an information retrieval system using an ordinal fuzzy linguistic approach
Herrera-Viedma E. Journal of the American Society for Information Science 52(6): 460-475, 2001. Type: Article
Fuzzy set approaches to information (document) retrieval have longbeen advocated, but have not so far delivered performance superior tothat obtained with other well-established models, for example vectorand probabilistic. From a theore...
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Dec 1 2001 |
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Automatic query expansion via lexical-semantic relationships
Greenberg J. Journal of the American Society for Information Science 52(5): 402-415, 2001. Type: Article
Greenberg carefully describes a set of experiments on the use of a conventional structured thesaurus for query expansion, within the framework of a traditional bibliographic search service. She attributes the fact that such thesauri ar...
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Mar 1 2001 |
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Improving the effectiveness of information retrieval with local context analysis
Xu J., Croft W. ACM Transactions on Information Systems 18(1): 79-112, 2000. Type: Article
This good, solid paper addresses the word mismatch problem (that is, different words for a single concept) with query expansion, using the local context supplied by top-ranked documents in a presearch to identify good term associations...
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Apr 1 2000 |
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On pattern-directed search of archives and collections
Dworman G., Kimbrough S., Patch C. Journal of the American Society for Information Science 51(1): 14-23, 2000. Type: Article
This paper is motivated by the desire to search complex records with many fields, perhaps in different media (as found in museum catalogues), using thematic queries for which conventional database systems are not suited. The authors de...
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Jan 1 2000 |
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Literature-based discovery by lexical statistics
Lindsay R., Gordon M. Journal of the American Society for Information Science 50(7): 574-587, 1999. Type: Article
This paper describes research on further automation of, and possible improvement on, Swanson’s classic work on establishing “scientific discovery” links between disjoint literatures. The authors’...
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Jul 1 1999 |
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“Is this document relevant?…probably”: a survey of probabilistic models in information retrieval
Crestani F., Lalmas M., Van Rijsbergen C., Campbell I. ACM Computing Surveys 30(4): 528-552, 1998. Type: Article
This useful review provides a competent, clear, andaccessible account of retrieval models that takeprobability as their grounding notion in defining the relevance relationbetween queries and documents. These models are divided into two...
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Jun 1 1999 |
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INFORMys
Cesarini F. (ed), Gori M., Marinai S., Soda G. IEEE Transactions on Pattern Analysis and Machine Intelligence 20(7): 730-745, 1998. Type: Article
The authors describe an approach to building systems for reading from and interpreting forms of known class. This covers forms where the type of field and relation between fields are known. These cases are more difficult than those whe...
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Oct 1 1998 |
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Intelligent image databases
Gong Y., Kluwer Academic Publishers, Norwell, MA, 1998. Type: Book (9780792380153)
According to the author, this book is meant for researchers and practitioners concerned with digital libraries and image database systems, and can also be used as a textbook or reference. It provides some brief notes on basics, emphasi...
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Aug 1 1998 |
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Visual information retrieval
Gupta A., Jain R. Communications of the ACM 40(5): 70-79, 1997. Type: Article
This popular article contains some useful state-of-the-art survey material, but also makes some assertions that may trap the unwary: visual image retrieval file metadata do not have to be relational or object-oriented. The authors conc...
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Jun 1 1998 |
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Clustering and classification of large document bases in a parallel environment
Ruocco A., Frieder O. Journal of the American Society for Information Science 48(10): 932-943, 1997. Type: Article
The authors describe their work on making document clustering and classification more efficient through parallel processing. Clustering is illustrated by the application of a vector-based single-pass method, as used by the SMART Projec...
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May 1 1998 |
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