Name
Abstract | ||
|---|---|---|
The traditional method of presenting a document in an Information Retrieval(IR) system is based on terms. As the the new words appear dramatically in the Internet era, this kind of method draws back the IR system's performance. This paper puts forward an approach by using the concepts of the ontology to present the documents. Constructing the Word-Concept(W-C) model and Concept-Document(C-D) model, we compute the relevance of word-word , word-concept and concept-document. They are used to determine which page is most relevant to the query. It is proofed to be more effective than prevenient. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/FSKD.2012.6234292 | FSKD |
Keywords | Field | DocType |
concept-document relevance,information retrieval system,word-word relevance,light ontology,w-c model,internet,conceptual document represention,ontologies (artificial intelligence),word-concept model,document handling,word-concept relevance,c-d model,information retrieval systems,ontologies,resource description framework,symmetric matrices,indexing,semantics,information retrieval,computational modeling | Ontology,Information retrieval,Document clustering,Computer science,Natural language processing,Artificial intelligence,Relevance (information retrieval),Vector space model,Document handling,Concept search,The Internet | Conference |
Volume | Issue | ISBN |
null | null | 978-1-4673-0025-4 |
Citations | PageRank | References |
1 | 0.48 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Haoming Wang | 1 | 5 | 3.42 |
| Ye Guo | 2 | 1 | 1.83 |
| Jianting Li | 3 | 2 | 1.22 |
| Xibing Shi | 4 | 2 | 1.19 |