Name
Abstract | ||
|---|---|---|
It has been widely recognized that bibliographic information plays an increasingly important role for scientific research. Peer-to-peer P2P networks provide an effective environment for people belonging to a community to share various resources on the Internet. This paper presents OBIRE, an ontology based P2P network for bibliographic information retrieval. For a user query, OBIRE computes the degree of matches to indicate the similarity of a published record to the query. When searching for information, users can incorporate their domain knowledge into their queries which guides OBIRE to discover the bibliographic records that are of most interest of users. In addition, fuzzy logic based user recommendations are used to compute the trustiness of a set of keywords used by a bibliographic record which assists users in selecting bibliographic records. OBIRE is evaluated from the aspects of precision and recall, and experimental results show the effectiveness of OBIRE in bibliographic information retrieval. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.4018/jdst.2010100105 | IJDST |
Keywords | Field | DocType |
fuzzy logic,p2p,information retrieval,semantic web | Ontology merging,Ontology,World Wide Web,Domain knowledge,Information retrieval,Computer science,Fuzzy logic,Precision and recall,Semantic Web,Bibliographic record,The Internet | Journal |
Volume | Issue | ISSN |
1 | 4 | 1947-3532 |
Citations | PageRank | References |
0 | 0.34 | 17 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiangyu Liu | 1 | 51 | 14.10 |
| Maozhen Li | 2 | 1354 | 183.79 |
| yang liu | 3 | 151 | 11.93 |
| Man Qi | 4 | 0 | 0.34 |