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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01 Jan 2010
TL;DR: The aim of this paper is to identify all possible existing ontologies and ontology management tools that are freely available and review them in terms of: a) interoperability, b) openness, c) easiness to update and maintain, d) market status and penetration.
Abstract: Ontologies have recently received popularity in the area of knowledge management and knowledge sharing, especially after the evolution of the Semantic Web and its supporting technologies. An ontology defines the terms and concepts (meaning) used to describe and represent an area of knowledge.The aim of this paper is to identify all possible existing ontologies and ontology management tools (Protege 3.4, Apollo, IsaViz & SWOOP) that are freely available and review them in terms of: a) interoperability, b) openness, c) easiness to update and maintain, d) market status and penetration. The results of the review in ontologies are analyzed for each application area, such as transport, tourism, personal services, health and social services, natural languages and other HCI-related domains. Ontology Building/Management Tools are used by different groups of people for performing diverse tasks. Although each tool provides different functionalities, most of the users just use only one, because they are not able to interchange their ontologies from one tool to another. In addition, we considered the compatibility of different ontologies with different development and management tools. The paper is also concerns the detection of commonalities and differences between the examined ontologies, both on the same domain (application area) and among different domains.
83 citations
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01 Jan 2004TL;DR: This article discusses requirements and design issues of an infrastructure that allows developers to more easily combine different software modules like ontology stores, editors, or inference engines towards comprehensive ontology-based solutions and presents the corresponding implementation, the KAON SERVER.
Abstract: The growing use of ontologies in applications creates the need for an infrastructure that allows developers to more easily combine different software modules like ontology stores, editors, or inference engines towards comprehensive ontology-based solutions. We call such an infrastructure Ontology Software Environment. The article discusses requirements and design issues of such an Ontology Software Environment. In particular, we present this discussion in light of the ontology and (meta)data standards that exist in the Semantic Web and present our corresponding implementation, the KAON SERVER.
83 citations
05 Dec 2006
TL;DR: This paper presents a discussion on the process and product of an experience in developing ontology for the Public Sector whose organization requires a strong knowledge managment, and particularly, this process was applied to developOntology for Budget Domain.
Abstract: During the last years, there has been a growing concern on ontology due to its ability to explicitly describe data semantics in a common way, independently of data source characteristics, providing a schema that allows data interchanging among heterogeneous information systems and users. Several works have been aimed to improve ontology technological aspects, like representation languages and inference mechanisms, and less attention has been paid to practical results of development method application. This paper presents a discussion on the process and product of an experience in developing ontology for the Public Sector whose organization requires a strong knowledge managment. Particularly, this process was applied to develop ontology for Budget Domain.
82 citations
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TL;DR: ROMEO, a requirements-oriented methodology for evaluating ontologies, is presented and applied to the task of evaluating the suitability of some general ontologies (variants of sub-domains of the Wikipedia category structure) for supporting browsing in Wikipedia.
82 citations
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TL;DR: The issue of ontology learning is divided into nine sub-issues according to the structured degree of source data and learning objects and the characteristics, major approaches, and the latest research progress of the nineSub-issues are summarized.
Abstract: Recently, ontology learning is emerging as a new hotspot of research in computer science. In this paper the issue of ontology learning is divided into nine sub-issues according to the structured degree (structured, semi-structured, non-structured) of source data and learning objects (concept, relation, axiom) of ontology. The characteristics, major approaches and the latest research progress of the nine sub-issues are summarized. Based on the analysis framework proposed in the paper, existing ontology learning tools are introduced and compared. The problems of current research are discussed, and finally the future directions are pointed out.
82 citations