Name
Abstract | ||
|---|---|---|
For domain ontology construction and expansion, data-driven approaches based on web resources have been actively investigated Despite the importance of document filtering for domain ontology management, however, few studies have sought to develop a method for automatically filtering out domain-relevant documents from the web To address this situation, here we propose a document filtering scheme that identifies documents relevant to a domain ontology based on concept preferences Testing of the proposed filtering scheme with a business domain ontology on 1,409 YahooPicks web pages yielded promising filtering results that outperformed the baseline system. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11836025_38 | ASWC |
Keywords | Field | DocType |
domain ontology,yahoopicks web page,web resource,baseline system,concept preferences testing,domain ontology management,domain-relevant document,business domain ontology,domain ontology construction,web pages | Ontology (information science),Ontology-based data integration,Information retrieval,Process ontology,Computer science,Semantic Web,OWL-S,Business domain,Suggested Upper Merged Ontology,Upper ontology | Conference |
Volume | ISSN | ISBN |
4185 | 0302-9743 | 3-540-38329-8 |
Citations | PageRank | References |
0 | 0.34 | 10 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bo-Yeong Kang | 1 | 152 | 16.94 |
| Hong-Gee Kim | 2 | 104 | 18.80 |