A Language for Inconsistency-Tolerant Ontology Mapping


Sengupta, Kunal. Ph.D., Department of Computer Science and Engineering, Wright State University, 2015. A Language for Inconsistency-Tolerant Ontology Mapping. Ontology alignment plays a key role in enabling interoperability among various data sources present in the web. The nature of the world is such, that the same concepts differ in meaning, often so slightly, which makes it difficult to relate these concepts. It is the omni-present heterogeneity that is at the core of the web. The research work presented in this dissertation, is driven by the goal of providing a robust ontology alignment language for the semantic web, as we show that description logics based alignment languages are not suitable for aligning ontologies. The adoption of the semantic web technologies has been consistently on the rise over the past decade, and it continues to show promise. The core component of the semantic web is the set of knowledge representation languages – mainly the W3C 1 standards Web Ontology Language (OWL), Resource Description Framework (RDF), and Rule Interchange Format (RIF). While these languages have been designed in order to be suitable for the openness and extensibility of the web, they lack certain features which we try to address in this dissertation. One such missing component is the lack of non-monotonic features, in the knowledge representation languages, that enable us to perform common sense reasoning. For example, OWL supports the open world assumption (OWA), which means that knowledge about everything is assumed to be possibly incomplete at any point of time. However, experience has shown that there are situations that require us to assume that 1World Wide Web Consortium http://w3c.org

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@inproceedings{Sengupta2015ALF, title={A Language for Inconsistency-Tolerant Ontology Mapping}, author={Kunal Sengupta and Krishnaprasad Thirunarayan and Prabhaker Mateti}, year={2015} }