Name
Abstract | ||
|---|---|---|
Existing social collaboration projects contain a host of conceptual knowledge, but are often only sparsely structured and hardly machine-accessible. Using the well known Wikipedia as a showcase, we propose new and improved techniques for extracting ontology data from the wiki category structure. Applications like information extraction, data classification, or consistency checking require ontologies of very high quality and with a high number of relationships. We improve upon existing approaches by finding a host of additional relevant relationships between ontology classes, leveraging multi-lingual relations between categories and semantic relations between terms. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-14246-8_17 | WAIM |
Keywords | Field | DocType |
conceptual knowledge,data classification,ontology class,high number,ontology data,language resource,consistency checking,additional relevant relationship,wikipedia expansion,high quality,rich ontology extraction,improved technique,information extraction,semantic web | Ontology (information science),Ontology-based data integration,Data mining,Ontology alignment,Information retrieval,Process ontology,Open Biomedical Ontologies,Computer science,Suggested Upper Merged Ontology,Upper ontology,Ontology components | Conference |
Volume | ISSN | ISBN |
6184 | 0302-9743 | 3-642-14245-1 |
Citations | PageRank | References |
2 | 0.38 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Christian Schönberg | 1 | 8 | 1.19 |
| Helmuth Pree | 2 | 28 | 1.56 |
| Burkhard Freitag | 3 | 252 | 82.44 |