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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13 Oct 2003
TL;DR: This work introduces a new methodology and transformation process based on the notion of service, which represents system transformation capabilities of MAFRA-mapping framework, and is being validated in the European project Harmonise.
Abstract: Ontology mapping is the process whereby two ontologies are semantically related at conceptual level and the source ontology instances are transformed into target ontology entities according to those semantic relations. Ontology mapping faces new challenges in the context of semantic Web, especially concerning heterogeneity, dynamics, distribution and limitations on representation technology. We introduce a new methodology and transformation process based on the notion of service, which represents system transformation capabilities. MAFRA toolkit is a specific implementation of MAFRA-mapping framework, where these new methodology and transformation process are being validated. MAFRA toolkit is being applied in the European project Harmonise, which aims to provide solutions for (semi) automatic interoperability between major operators in tourism e-business. MAFRA plays a major role in the specification, representation and reconciliation phases of the semantic mapping within the scope of the Harmonise technology.
49 citations
14 May 2006
TL;DR: This paper motivates the need for collaborative environments for ontology construction, sharing, and usage; identifies the desiderata of such environments; and proposes package based description logics (P-DL) that extend classic description logic based ontology languages to support modularity and (selective) knowledge hiding.
Abstract: Ontologies that explicitly identify objects, properties, and relationships in specific domains are essential for collaborations that involve sharing of data, knowledge, or resources among autonomous individuals. Against this background, this paper motivates the need for collaborative environments for ontology construction, sharing, and usage; identifies the desiderata of such environments; and proposes package based description logics (P-DL) that extend classic description logic (DL) based ontology languages to support modularity and (selective) knowledge hiding. In P-DL, each ontology consists of packages (or modules) with well-defined interfaces. Each package encapsulates a closely related set of terms and relations between terms. Together, these terms and relations represent the ontological commitments about a small, coherent part of the universe of discourse. Packages can be hierarchically nested, thereby imposing an organizational structure on the ontology. Package-based ontologies also allow creators of packages to exert control over the visibility of each term or relation within the package thereby allowing the selective sharing (or conversely, hiding) of ontological commitments captured by a package.
48 citations
Posted Content•
TL;DR: In this paper, a gloss is defined as an informal description of the meaning of a vocabulary that is supposed to render factual and critical knowledge to understanding a concept, but that is unreasonable or very difficult to formalize and/or articulate formally.
Abstract: this paper, we first introduce the notion of gloss for ontology engineering purposes. We propose that each vocabulary in an ontology should have a gloss. A gloss basically is an informal description of the meaning of a vocabulary that is supposed to render factual and critical knowledge to understanding a concept, but that is unreasonable or very difficult to formalize and/or articulate formally. We present a set of guidelines on what should and should not be provided in a gloss. Second, we propose to incorporate linguistic resources in the ontology engineering process. We clarify the importance of using lexical resources as a "consensus reference" in ontology engineering, and so enabling the adoption of the glosses found in these resources. A linguistic resource (i.e. its list of terms and their definitions) shall be seen as a shared vocabulary space for ontologies. We present an ontology engineering software tool (called DogmaModeler), and illustrate its support of reusing of WordNet's terms and glosses in ontology modeling.
48 citations
TL;DR: In this paper, two topic modeling algorithms are explored, namely LSI and SVD and Mr.LDA for learning topic ontology and the objective is to determine the statistical relationship between document and terms to build a topic ontologies and ontology graph with minimum human intervention.
48 citations
06 Oct 2011
TL;DR: A never completely account of languages that have been used for the research community for representing ontologies is presented and the most popular four ontology languages (KIF, OWL, RDF + RDF(S) and DAML+OIL) are reviewed.
Abstract: Nowadays a number of papers are presented on the research for the ontology application for a business system modelling. For this purpose formal and executable ontologies earn a lot of attention. However, formality and executability of an ontology depends on a language, which is used to present it. This paper presents a never completely account of languages that have been used for the research community for representing ontologies. The most popular four ontology languages (KIF, OWL, RDF + RDF(S) and DAML+OIL) are reviewed. Their advantages and disadvantages are discussed. Finally, thirteen comparison criteria are distinguished and chosen ontology languages are compared. The discussion is also presented in the paper.
48 citations