Name
Abstract | ||
|---|---|---|
Ontology is a cross-disciplinary field concerned with the study of concepts and theories that can be used for representing shared conceptualizations of specific domains. Ontological Engineering is a discipline in computer and information science concerned with the development of techniques, methods, languages and tools for the systematic construction of concrete artifacts capturing these representations, i.e., models (e.g., domain ontologies) and metamodels (e.g., upper-level ontologies). In recent years, there has been a growing interest in the application of formal ontology and ontological engineering to solve modeling problems in diverse areas in computer science such as software and data engineering, knowledge representation, natural language processing, information science, among many others. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-04947-7_19 | ER Workshops |
Keywords | Field | DocType |
domain ontology,cross-disciplinary field,upper-level ontology,concrete artifact,formal ontology,diverse area,computer science,information science,data engineering,ontological engineering,natural language processing,knowledge representation | Ontology (information science),Ontology alignment,Data mining,Process ontology,Computer science,IDEF5,Formal ontology,Upper ontology,Ontology components,Ontology language | Conference |
Volume | ISSN | Citations |
5833 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 1 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Martin Doerr | 1 | 180 | 23.49 |
| Fred Freitas | 2 | 165 | 26.83 |
| Giancarlo Guizzardi | 3 | 1456 | 132.59 |
| Hyoil Han | 4 | 703 | 44.43 |