Name
Abstract | ||
|---|---|---|
A domain ontology is an ontology that describes the fundamental knowledge of the domain, including the domain vocabulary, concepts, taxonomy, relations, properties, constraints, and axioms. The creation of a domain ontology may be done manually from scratch by domain experts or translated from existing knowledge sources. Our earlier work in [4] presented a framework on building an ontology by matching and merging existing domain ontologies. In this paper, we expand the framework to include different types of community knowledge representations in a common ontology. A common ontology is a domain ontology that is developed from community knowledge by gathering their commonality. To build a common ontology, we standardize different community data format using a schema mediation notation. We apply rule-based mapping and information extraction methodology, and we perform matching, clustering and merging, to collect common knowledge together. The evaluation shows that our proposed framework can build a valid and rich common ontology. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/AINA.2017.144 | 2017 IEEE 31st International Conference on Advanced Information Networking and Applications (AINA) |
Keywords | Field | DocType |
ontology,common ontology,matching,merging | Ontology (information science),Ontology alignment,Ontology-based data integration,Process ontology,Information retrieval,Computer science,Open Biomedical Ontologies,Ontology chart,Suggested Upper Merged Ontology,Upper ontology | Conference |
ISSN | ISBN | Citations |
1550-445X | 978-1-5090-6030-6 | 0 |
PageRank | References | Authors |
0.34 | 14 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dhomas Hatta Fudholi | 1 | 5 | 1.79 |
| J. Wenny Rahayu | 2 | 1275 | 106.72 |
| Eric Pardede | 3 | 959 | 122.09 |