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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Papers
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02 Nov 2007
TL;DR: A personalized ontology model is proposed attempting to answer the challenge to use semantic relations of "kind-of, "part-of", and "related-to" and synthesize commonsense and expert knowledge in a single computational model.
Abstract: It is well accepted that ontology is useful for personalized Web information gathering. However, it is challenging to use semantic relations of "kind-of", "part-of", and "related-to" and synthesize commonsense and expert knowledge in a single computational model. In this paper, a personalized ontology model is proposed attempting to answer this challenge. A two-dimensional (Exhaustivity and Specificity) method is also presented to quantitatively analyze these semantic relations in a single framework. The proposals are successfully evaluated by applying the model to a Web information gathering system. The model is a significant contribution to personalized ontology engineering and concept-based Web information gathering in Web Intelligence.
91 citations
05 Nov 2006
TL;DR: This paper investigates how modularization can be integrated with ontology selection techniques and designs and implements a modularization algorithm which, unlike many existing approaches, is tightly integrated in a concrete tool.
Abstract: Ontology selection is crucial to support knowledge reuse on the ever increasing Semantic Web. However, applications that rely on reusing existing knowledge often require only relevant parts of existing ontologies rather than entire ontologies. In this paper we investigate how modularization can be integrated with ontology selection techniques. Our contribution is twofold. On the one hand we extend a selection technique with a modularization component. On the other hand we design and implement a modularization algorithm which, unlike many existing approaches, is tightly integrated in a concrete tool.
91 citations
01 Sep 2005
TL;DR: This work describes how to transform messages exchanged in the healthcare domain into OWL (Web Ontology Language) ontology instances, and demonstrates how to mediate between any incompatible healthcare standards that are currently in use.
Abstract: One of the most challenging problems in the healthcare domain is providing interoperability among healthcare information systems. In order to address this problem, we propose the semantic mediation of exchanged messages. Given that most of the messages exchanged in the healthcare domain are in EDI (Electronic Data Interchange) or XML format, we describe how to transform these messages into OWL (Web Ontology Language) ontology instances. The OWL message instances are then mediated through an ontology mapping tool that we developed, namely, OWLmt. OWLmt uses OWL-QL engine which enables the mapping tool to reason over the source ontology instances while generating the target ontology instances according to the mapping patterns defined through a GUI.Through a prototype implementation, we demonstrate how to mediate between HL7 Version 2 and HL7 Version 3 messages. However, the framework proposed is generic enough to mediate between any incompatible healthcare standards that are currently in use.
90 citations
Journal Article•
90 citations
TL;DR: This paper wants to present an integrated methodology for ontology engineering from scratch, inspired by various scientific disciplines, in particular database semantics and natural language processing.
Abstract: Although ontologies occupy a central place in the Semantic Web and related research domains, there are currently not many fully fledged ontology engineering methodologies available. In this paper, we want to present an integrated methodology for ontology engineering from scratch, inspired by various scientific disciplines, in particular database semantics and natural language processing.
90 citations