Abstract | ||
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Product ontology is often constructed by explicating the domain ontology in a formal ontology language. The OWL Web Ontology Language has been positioned as a standard language. It requires technical expertise to directly represent the domain in OWL. An alternative way is to let a domain expert provide a conceptual representation of the domain, and to mechanically translate it into the corresponding OWL codes. We have developed a modeling tool called PROMOD to achieve this process in the product domain. We employ an Extended Entity-Relationship for conceptual model, enriched with modeling elements specialized for the product domain. We present how each element may be technically represented in OWL. We also provide a modeling scenario to demonstrate the practical feasibility of the tool in the field. |
Year | DOI | Venue |
---|---|---|
2006 | 10.1007/11780397_23 | DEECS |
Keywords | Field | DocType |
formal ontology language,domain ontology,product ontology,corresponding owl code,conceptual model,modeling scenario,modeling tool,owl web ontology language,domain expert,product domain,web ontology language | Ontology (information science),Data mining,Process ontology,Computer science,Description logic,OWL-S,Formal ontology,Upper ontology,Domain model,Database,Web Ontology Language | Conference |
Volume | ISSN | ISBN |
4055 | 0302-9743 | 3-540-35440-9 |
Citations | PageRank | References |
3 | 0.46 | 8 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Kyung-Hwa Kim | 1 | 8 | 1.94 |
Moonhee Tark | 2 | 3 | 0.46 |
Hyunja Lee | 3 | 61 | 5.35 |
Junho Shim | 4 | 559 | 77.12 |
Junsoo Lee | 5 | 183 | 14.86 |
Seungjin Lee | 6 | 282 | 34.41 |