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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21 Jan 2006
TL;DR: This paper uncovers a certain gap in the current research area of ontology evolution and proposes a research direction based on belief revision, and argues that this approach introduces an interesting new dimension to the problem that is likely to find important applications in the future.
Abstract: One of the crucial tasks towards the realization of the Semantic Web vision is the efficient encoding of human knowledge in ontologies. Thus, the proper maintenance of these, usually large, structures and, in particular, their adaptation to new knowledge (ontology evolution) is one of the most challenging problems in the current Semantic Web research. In this paper, we uncover a certain gap in the current research area of ontology evolution and propose a research direction based on belief revision. We present some results in this direction and argue that our approach introduces an interesting new dimension to the problem that is likely to find important applications in the future.
59 citations
Technical University of Madrid1, Soka University of America2, National Institute of Informatics3, Katholieke Universiteit Leuven4, Norwegian University of Science and Technology5, Keio University6, Ontario Institute for Cancer Research7, Swiss Institute of Bioinformatics8, Alfred Wegener Institute for Polar and Marine Research9, Macquarie University10, Osaka University11, National Institutes of Natural Sciences, Japan12, James Hutton Institute13, University of Colorado Denver14, University of Manchester15, Carleton University16, Intec, Inc.17, University of Cambridge18, University of Tokyo19, University of Bergen20, Korea Institute of Science and Technology21, Kyoto University22, Wellcome Trust23, National Evolutionary Synthesis Center24, University of Giessen25, Tokyo Institute of Technology26, National Institute of Advanced Industrial Science and Technology27, Eisai28, Tohoku University29, Niigata University30, Wageningen University and Research Centre31, University of Georgia32, University of Oxford33, National University of Ireland, Galway34, Parco Tecnologico Padano35, University of Toyama36, Naturalis37, Stanford University38, Discovery Institute39
TL;DR: A review of the activities and outcomes from the BioHackathons held in 2011 in Kyoto and 2012 in Toyama, where participants formed various sub-groups and worked on the following topics: Resource Description Framework (RDF) models for specific domains, text mining of the literature, ontology development, essential metadata for biological databases, and the development of applications for Semantic Web data.
Abstract: The application of semantic technologies to the integration of biological data and the interoperability of bioinformatics analysis and visualization tools has been the common theme of a series of annual BioHackathons hosted in Japan for the past five years. Here we provide a review of the activities and outcomes from the BioHackathons held in 2011 in Kyoto and 2012 in Toyama. In order to efficiently implement semantic technologies in the life sciences, participants formed various sub-groups and worked on the following topics: Resource Description Framework (RDF) models for specific domains, text mining of the literature, ontology development, essential metadata for biological databases, platforms to enable efficient Semantic Web technology development and interoperability, and the development of applications for Semantic Web data. In this review, we briefly introduce the themes covered by these sub-groups. The observations made, conclusions drawn, and software development projects that emerged from these activities are discussed.
59 citations
01 Jan 2008
TL;DR: This work has shown asymmetric and Context-Dependent Semantic Similarity among Ontology Instances and Query Relaxation in RDF and a Fine-Grained Approach to Resolving Unsatisfiable Ontologies.
Abstract: Asymmetric and Context-Dependent Semantic Similarity among Ontology Instances.- Query Relaxation in RDF.- A Fine-Grained Approach to Resolving Unsatisfiable Ontologies.- Deploying Semantic Web Services-Based Applications in the e-Government Domain.- Linking Data to Ontologies.- Context Representation in Domain Ontologies and Its Use for Semantic Integration of Data.- Semantically Processing Parallel Colour Descriptions.- A Cooperative Approach for Composite Ontology Mapping.
59 citations
Patent•
19 Mar 2008TL;DR: In this paper, an ontology for a target data by reusing an existing ontology, from an aspect of the structure of the class hierarchy according to an object-oriented method and an aspects of the levels of relevance with other properties, is presented.
Abstract: To construct an ontology for a target data by re-using an existing ontology, from an aspect of the structure of the class hierarchy according to an object-oriented method and an aspect of the levels of relevance with other properties, the properties that correspond to the data items in the data serving as an ontology construction target and the extraction classes of the properties are determined as property extraction destination candidates for the ontology to be constructed. As a result, it is possible to re-use even a fine difference in the meanings among the properties in the classes. Consequently, it is possible to provide a support for constructing an effective ontology, while reducing the load on the user.
59 citations
01 Jan 2007
TL;DR: This paper presents some solutions, based on content ontology design patterns, which are intended to make life of legal ontology designers easier.
Abstract: Ontology design is known to be a difficult task, requiring much more than expertise in an area; legal ontology design, due to the complexity of its domain, makes those difficulties worse. That may be partly due to poor requirement analysis in existing tools, but there is also an inherent gap between the purely logical constructs and methods that are expected to be used, and the actual competences and thought habits of domain experts. This paper presents some solutions, based on content ontology design patterns, which are intended to make life of legal ontology designers easier. An overview of the typical tasks and services for legal knowledge is presented, the notion of ontology design pattern is introduced, and some excerpts of a reference ontology (CLO) and its related patterns are included, showing their utility in a simple legal modeling case
59 citations