Topic
Upper ontology
About: Upper ontology is a research topic. Over the lifetime, 9767 publications have been published within this topic receiving 220721 citations. The topic is also known as: top-level ontology & foundation ontology.
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TL;DR: Affective applications require a common way to represent emotions so it can be more easily integrated, shared and reused by applications improving user experience, and this proposal is to use rich semantic models based on ontology.
49 citations
21 Jun 2004
TL;DR: A fast and efficient method to facilitate the evaluation and enrichment of domain ontologies using a text-mining approach and has developed an extensive and detailed ontology in the field of environmental science using this approach in interaction with domain expert.
Abstract: Ontologies have been widely accepted as the most advanced knowledge representation model. They are among the most important building blocks of semantic web, hence, very crucial for the success of semantic web. This paper discusses a fast and efficient method to facilitate the evaluation and enrichment of domain ontologies using a text-mining approach. We exploit domain specific texts and glossaries or dictionaries in order to automatically generate g-groups and f-groups. These groups are sets of concepts/terms which have either taxonomic or non-taxonomic relationships among them. The domain expert ontology engineer reviews these generated groups and uses them to evaluate and enrich the domain ontology. We have developed an extensive and detailed ontology in the field of environmental science using this approach in interaction with domain expert. Empirical results show that our approach can support domain expert ontology engineers in building domain specific ontologies efficiently.
49 citations
TL;DR: This work proposes an ontology which bridges between cognitive-linguistic spatial concepts in natural language and multiple qualitative spatial representation and reasoning models, and proposes a novel global machine learning framework for ontology population.
49 citations
08 Nov 2002
TL;DR: Using this approach, end users can seamlessly query and aggregate semantically related data that is available throughout the state using a visual interface and an expert at the site of the local database uses another visual interface to specify the agreement between that database and the central ontology.
Abstract: The focus of this paper is on interoperability issues to achieve data integration in distributed databases for geographic applications. Our concrete application is in the context of the State of Wisconsin Land Information System (WLIS). In WLIS, data is stored in XML using independently maintained local databases. However, answers to many queries must span several databases. Our approach is based on the existence of a central ontology and on declarative transformations, called \it agreements, between the schemas of the local databases and the central ontology. Using our approach, end users can seamlessly query and aggregate semantically related data that is available throughout the state using a visual interface. An expert at the site of the local database uses another visual interface to specify the agreement between that database and the ontology. Our approach has been fully developed and tested.
49 citations
24 Aug 2002
TL;DR: Experiments show that the domain ontology acquisition from Chinese corpus by extracting rules designed for Chinese phrases, noun sequences with part-of-speech tags, can be constructed efficiently and effectively.
Abstract: In this paper, we focus on the domain ontology acquisition from Chinese corpus by extracting rules designed for Chinese phrases. These rules are noun sequences with part-of-speech tags. Experiments show that this process can construct domain ontology prototypes efficiently and effectively.
49 citations