Name
Abstract | ||
|---|---|---|
Ontologies is playing an increasingly important role in knowledge management and the Semantic Web. The tourism information ontology is becoming a core research field in the realm of information retrieval. An ontology construction method based on Formal Concept Analysis (FCA) to extract domain ontology from unstructured text documents is proposed. Under the framework of our ontology construction method, the knowledge engineers could reach a new ontology of tourism information that was demonstrated as useful to support their ontology construction tasks. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/COGINF.2010.5599723 | IEEE ICCI |
Keywords | Field | DocType |
ontology construction,unstructured text documents,format concept analysis,travel industry,tourism information,tourism domain ontology construction,information retrieval,tourism information ontology,data analysis,knowledge management,formal concept analysis,semantic web,ontologies (artificial intelligence),text analysis,knowledge engineering,pragmatics,concept analysis,semantics,knowledge based systems,ontologies | Ontology (information science),Ontology-based data integration,Ontology alignment,Process ontology,Information retrieval,Open Biomedical Ontologies,Computer science,Ontology Inference Layer,Suggested Upper Merged Ontology,Upper ontology | Conference |
Volume | Issue | ISBN |
null | null | 978-1-4244-8041-8 |
Citations | PageRank | References |
1 | 0.38 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Suqin Tang | 1 | 143 | 7.77 |
| Zixing Cai | 2 | 1525 | 66.96 |