Automatic Construction of Networks of Concepts Characterizing Document Databases
(1992) Automatic Construction of Networks of Concepts Characterizing Document Databases. IEEE Transactional on Systems, Man, and Cybermetics 22(5):pp. 885-902.
Full text available as: |
Abstract
The results of a study that involved the creation of knowledge bases of concepts from large, operational textual databases are reported. Two East-bloc computing knowledge bases, both based on a semantic network structure, were created automatically using two statistical algorithms. With the help of four East-bloc computing experts, we evaluated the two knowledge bases in detail in a concept-association experiment based on recall and recognition tests. In the experiment, one of the knowledge bases that exhibited the asymmetric link property out-performed all four experts in recalling relevant concepts in East-bloc computing. The knowledge base, which contained about 20,O00 concepts (nodes) and 280,O00 weighted relationships (links), was incorporated as a thesaurus-like component into an intelligent retrieval system. The system allowed users to perform semantics-based information management and information retrieval via interactive, conceptual relevance feedback.
| EPrint Type: | Journal Article (Paginated) |
|---|---|
| Keywords: | National Science Digital Library, NSDL, Artificial Intelligence Lab, AI Lab, Information Retrieval |
| Subjects: | Databases Artificial Intelligence |
| ID Code: | 508 |
| Deposited On: | 01 October 2004 |
| Alternative Locations: | http://ai.bpa.arizona.edu/go/papers.html |
| Eprint Statistics: | View statistics for this eprint |
| Tell A Colleague: | Tell a colleague about it. |