NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 5 results Save | Export
Peer reviewed Peer reviewed
Crawford, Robert G. – Information Processing and Management, 1975
Presents an algorithm for computation of discrimination values in automatic construction of dictionaries for information retrieval. (Author/PF)
Descriptors: Algorithms, Information Retrieval, Thesauri
Peer reviewed Peer reviewed
Rada, Roy – Information Processing and Management, 1987
Reviews aspects of the relationship between machine learning and information retrieval. Highlights include learning programs that extend from knowledge-sparse learning to knowledge-rich learning; the role of the thesaurus; knowledge bases; artificial intelligence; weighting documents; work frequency; and merging classification structures. (78…
Descriptors: Algorithms, Artificial Intelligence, Classification, Documentation
Peer reviewed Peer reviewed
Lee, Joon Ho; And Others – Information Processing and Management, 1994
Investigates document ranking methods in thesaurus-based Boolean information retrieval systems and proposes a new thesaurus-based ranking algorithm called the Extended Relevance algorithm. Performance comparisons are made between the Extended Relevance algorithm and previous thesaurus-based ranking algorithms. (Contains 20 references.) (LRW)
Descriptors: Algorithms, Comparative Analysis, Correlation, Information Retrieval
Peer reviewed Peer reviewed
Craven, Timothy C. – Information Processing and Management, 1980
Proposes a single underlying structure for the production of a variety of computer index displays, using a networking system which represents both concepts and links by nodes. Desirable characteristics of index displays are outlined, and algorithmic extraction of subnetworks for local use is discussed. References are included. (Author/BK)
Descriptors: Algorithms, Automatic Indexing, Computer Graphics, Databases
Peer reviewed Peer reviewed
Paice, Chris D. – Information Processing and Management, 1991
Proposes that topic representations should consist of excerpts from domain thesaurus, generated by spreading activation technique. Algorithm for generating excerpts is outlined and exemplified, and problem of assessing resemblance between two excerpts is discussed. Whether existing thesauri are adequate for this purpose is questioned, and ideas…
Descriptors: Algorithms, Computational Linguistics, Information Retrieval, Models