Abstract | ||
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This work presents a new way for representing documents in information retrieval processes. Usually, the document representation using classic models is based on the frequency of the index terms. It is proposed as the main factor to represent a document, the relation degree between index terms pairs which describe the document. The document representation proposed is based on ontologies which are modeled by means of two kinds of different relations between index terms: the physical relation and the semantic relation. |
Year | Venue | Keywords |
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2005 | ICAI '05: PROCEEDINGS OF THE 2005 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOLS 1 AND 2 | information retrieval,search engine,ontology,fuzzy union |
Field | DocType | Citations |
Ontology,Information retrieval,Well-formed document,Computer science,Document representation,Artificial intelligence,Natural language processing,Bibliographic Ontology | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jesús Serrano-Guerrero | 1 | 59 | 9.31 |
José A. Olivas | 2 | 106 | 20.85 |
Javier De La Mata | 3 | 0 | 2.03 |