A Framework for Cooperative Ontology Construction Based on Dependency Management of Modules.
ABSTRACT To construct large scale ontologies, two major approaches are discussed by many researchers. One is a cooperative construction of ontologies, and the other is a modularization of ontologies. To combine these two approaches, this paper discusses a framework for supporting cooperative ontology construction based on dependency management among modularized ontologies. In such a situation, one of the key issues is the maintenance of consistency among inter-dependent ontologies because each ontology is revised asynchronously by different developers. In order to realize consistent development of ontologies, the framework provides two functions: to manage the dependencies between ontology modules and to keep and restore consistencies between them when they are influenced by changes of other modules. Furthermore, we outline an implementation of our framework in our environment for building/using ontology: Hozo.
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ABSTRACT: Traditional knowledge sharing of distributed ontologies can be obtained by adopting ontology integration and mappings. It is difficult to maintain such ontology based knowledge systems because there needs a global ontology or the maintenance of complex ontology mapping relations. In this paper, a novel approach based on ontology context immigration (OCI) is proposed for knowledge sharing of distributed ontologies. As for a local semantic term based on distributed ontologies, an appropriate ontology context of the term is specified, which can be used to eliminate semantic heterogeneity between relevant semantic terms of distributed ontologies. The experimental results also show that it is efficient. This approach does not require the support of a global ontology or the maintenance of complex ontology mapping relations, and thus has a better maintainability and scalability.
Article: Utility Survey of Ontology Tools[Show abstract] [Hide abstract]
ABSTRACT: Resolving semantic ambiguities in electronic business-services (eBS) during their discovery in broker systems is essential for th e setup and enactment of business-to-business (B2B) collaboration. These ambiguities do not merely result from differently understood terminology, but also f rom specifications for- mulated in other human languages than English. Using third-party information sources in differing human languages such as blogs, wikies, RSS feeds to find out more about eBS, additionally requires semantic screening, ranking, and merging. Such third-party information helps organizations to estab lish trust in an eBS they discover in an anonymizing, electronic broker. Here, ontol ogies lend themselves for resolving the ambiguities of eBS descriptions and of the ir related third-party information from the Web. While tool support exists for the development and maintenance of ontologies, the question remains unanswered what the degree of utility is of these tools in the context of ambiguity resolut ion while discovering eBS. In this paper, we fill the gap by performing an ontology-t ool evaluation that allows a comparison of their utility.
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ABSTRACT: In sustainability science (SS), it is difficult to identify what needs to be solved, and it is also not clear how to solve the problems that are identified. There has been no consensus on the underlying question of “What is structuring knowledge in SS?” This paper focuses on knowledge structuring accompanied by supporting of thinking. It addresses the key challenges associated with knowledge structuring in SS, identifies the requirements for the structuring of knowledge, proposes a reference model, and develops an ontology-based mapping tool as a solution to one layer of the reference model. First, we identify the important requirements for SS knowledge structuring. Second, we develop a reference model composed of five layers based on three of the requirements. Third, we develop an ontology-based mapping tool at Layer 2 of the reference model for meeting the two major challenges for SS, namely, identifying what problems should be addressed in SS itself and proposing solutions for those problems. The tool is designed to store and retrieve information regarding SS, to provide access to a prototype ontology for SS, and to create multiple maps of conceptual chains depending on a user’s interests and perspectives. Finally, we assess whether the developed tool successfully realizes the targeted part of the reference model for SS by examining the tool’s conformity to the reference model, as well as its usability, effectiveness, and constraints. Although several issues were identified in the prototype ontology and the mapping tool, the study concluded that the mapping tool is useful enough to facilitate the function of Layer 2. In particular, the mapping tool can support thinking about SS from the viewpoint of: (a) finding new potentials and risks of technological countermeasures studied in SS; (b) helping users to get a more comprehensive picture of problems and their potential solutions; and (c) providing an effective opportunity to come up with new ideas that might not be thought of without such a tool.Sustainability Science 04/2009; 4(1):99-116. DOI:10.1007/s11625-008-0063-z · 3.37 Impact Factor