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Content Provider | ACM Digital Library |
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Author | Lau, Lydia Karanasios, Stan Thakker, Dhavalkumar Yang-Turner, Fan Dimitrova, Vania Denaux, Ronald |
Abstract | Modularisation is crucial to create re-usable and manageable ontologies. The modularisation is usually performed a posteriori, i.e. after the ontology is developed, and has been applied mainly to well-structured domains. With the increasing popularity of social media, Semantic web technologies are moving towards ill-defined domains that involve cognitively-complex processes carried out by humans and require tacit knowledge (e.g. decision-making, sensemaking, interpersonal communication, negotiating, motivating). In such domains, a priori modularisation can enable ontology creation to handle the complexity and the dynamic nature of knowledge. This paper outlines an a priori modularisation methodology for multi-layered development of ontologies in ill-defined domains, including an upper ontology layer, high-level and reusable domain layers, and case-specific layers. The methodology is being applied in several use cases in two EU projects -- Dicode and ImREAL. |
Starting Page | 167 |
Ending Page | 170 |
Page Count | 4 |
File Format | |
ISBN | 9781450306218 |
DOI | 10.1145/2063518.2063541 |
Language | English |
Publisher | Association for Computing Machinery (ACM) |
Publisher Date | 2011-09-07 |
Publisher Place | New York |
Access Restriction | Subscribed |
Subject Keyword | Semantic web Ill-defined domains Ontologies Ontology modularisation Ontology engineering |
Content Type | Text |
Resource Type | Article |
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