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fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Olszewska, Joanna Isabelle; Simpson, Ron; McCluskey, T.L.
Publisher: JISC
Languages: English
Types: Part of book or chapter of book
Subjects: QA75, QA76
Interoperability is the challenge of getting processes to share and exchange information\ud effectively. Service orientation relates to creating self-contained, self-describing, accessible,\ud and open, computer services. Both these challenges relate to the representation of the data\ud being exchanged/manipulated. There are various existing sources of research information in\ud the University, for example, ePrints – the publications repository. Research information is\ud complex, structured data, and the future requirements of it are only partially known. If we\ud commit to one encoding, or even one representation language, later it may turn out to be\ud inadequate or obsolete. Current work [10] on these issues points to representing the data in\ud an ontology.\ud More specifically, an ontology is a notion defined by Gruber as an explicit specification of a\ud conceptualization [8]. The term (from the Greek, ontos: of being and logia: study) is\ud borrowed from Philosophy and it refers to the subject of existence. In Artificial Intelligence\ud (AI), an ontology is constituted by a specific vocabulary used to describe a certain reality,\ud plus a set of explicit assumptions regarding the intended meaning of the vocabulary [7].\ud Thus, the ontology describes a formal specification of a certain domain: a shared\ud understanding of a domain of interest as well as a formal and machine understandable\ud model of this domain.\ud In the e-business context [6], a mechanism to improve system usability, maintenance,\ud efficiency and interoperability could reside in the formal description of the semantic of the\ud document-based framework for business collaborations. The formal descriptions could be\ud provided through the definition of an ontology that represents the implicit concepts and the\ud relationships that underlie the business vocabulary.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

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    • M. Peim, E. Franconi, N. W. Paton, and C. A. Goble, “Query processing with description logic ontologies over object-wrapped databases”, In Proceedings of the IEEE International Conference on Scientific and Statistical Database Management (SSDBM'02), pp. 27-36, July 2002.
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