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Conference

Formal Ontology in Information Systems

About:Formal Ontology in Information Systems is an academic conference. The conference publishes majorly in the area(s): Ontology (information science) & Process ontology. Over the lifetime, 250 publications have been published by the conference receiving 6094 citations.

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17 Oct 2001
TL;DR:The strategy used to create the current version of the SUMO is outlined, some of the challenges that were faced in constructing the ontology are discussed, and its most general concepts and the relations between them are described.
Abstract:The Suggested Upper Merged Ontology (SUMO) is an upper level ontology that has been proposed as a starter document for The Standard Upper Ontology Working Group, an IEEE-sanctioned working group of collaborators from the fields of engineering, philosophy, and information science. The SUMO provides definitions for general-purpose terms and acts as a foundation for more specific domain ontologies. In this paper we outline the strategy used to create the current version of the SUMO, discuss some of the challenges that we faced in constructing the ontology, and describe in detail its most general concepts and the relations between them.

1,703citations

Proceedings Article

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Chris Welty1 ,Richard Fikes2
31 May 2006
TL;DR:The standard approach to dealing with relationships that change over time is discussed, and a new alternative based on a four-dimensionalist (perdurantist) ontology is contrasted, which allows us to use more of the expressive power of description logics.
Abstract:A critical problem for practical KR is dealing with relationships that change over time. This problem is compounded by representation languages such as OWL that are biased towards binary relations; even when the relationships that vary with time are binary, the time the relationship holds typically requires a third argument. We discuss the standard approach to this problem, and contrast it to a new alternative based on a four-dimensionalist (perdurantist) ontology, which allows us to use more of the expressive power of description logics. The technique is usable in other logics as well.

202citations

Proceedings Article DOI

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17 Oct 2001
TL;DR:在this paper wedescribe OntoLearn, a text-mining tool devised to improve human productivity during the process of ontology construction.
Abstract:Though the utility of domain Ontologies is now widely acknowledged in an increasing number of domains, several barriers must be overcome before Ontologies become practical and useful tools. A critical issue is the task of identifying, defining, and entering the concept definitions. In case of large and complex application domains this task can be lengthy, costly, and controversial (since different persons may have different points of view about the same concept). To reduce time, cost (and, sometimes, harsh discussions) it is highly advisable to refer, in constructing or updating an ontology, to the documents available in the field. In this paper we describe OntoLearn, a text-mining tool devised to improve human productivity during the process of ontology construction.

199citations

Proceedings Article

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