Abstract
Ontology consists of concepts, taxonomic relations and non-taxonomic relations. The majority of the ontology learning tools focus on discovering concepts and taxonomic relations. Very little effort has been put on discovering non-taxonomic relations. In this paper, we present a concept correlation search framework to discover non-taxonomic concept pairs from unstructured text. Our framework features the (a) extraction of correlated concepts beyond ordinary search window size of a single sentence; (b) use of lift as interestingness measure for association rule mining; (c) harness of 2-itemsets association rules from n-itemsets association rules where n>2; and (d) identification of non-taxonomic concept pairs based on existing domain ontology. The proposed framework has been tested with the Fisheries Oceanography journals, and the results demonstrate significant improvements over traditional association rule approach in search of non-taxonomic concept pairs.
| Original language | English |
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| Title of host publication | Proceedings of the 7th International Conference on Web Information Systems and Technologies, WEBIST 2011 |
| Editors | José Cordeiro, Joaquim Filipe |
| Place of Publication | Setúbal, Portugal |
| Publisher | SciTePress |
| Pages | 707-716 |
| Number of pages | 10 |
| Volume | 1 |
| ISBN (Print) | 9789898425515 |
| Publication status | Published - 2011 |
| Externally published | Yes |
| Event | 7th International Conference on Web Information Systems and Technologies, WEBIST 2011 - Noordwijkerhout, Netherlands Duration: 6 May 2011 → 9 May 2011 |
Other
| Other | 7th International Conference on Web Information Systems and Technologies, WEBIST 2011 |
|---|---|
| Country/Territory | Netherlands |
| City | Noordwijkerhout |
| Period | 6/05/11 → 9/05/11 |