• The Journal of Society for e-Business Studies
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• v.10 no.3
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• pp.21-36
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• 2005

Current web search includes a lot of different results with information that user does not want, because it searches information using keyword mapping. Ontology can describe the correct meaning of web resource and relationships between web resources. And we can extract suitable information that user wants using Ontology Accordingly, we need the ontology to represent knowledge. W3C announced OWL(Web Ontology Language), meaning description technology for such web resource. However, the development of a special tool that can effectively compose and edit OWL is inactive. In this paper, we designed and developed an OWL authoring system that can effectively provide the generation and edit about OWL.

• The Journal of Society for e-Business Studies
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• v.12 no.3
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• pp.133-150
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• 2007

In this paper we investigate a trend analysis service using Semantic Web technology in a news domain. The trend analysis service can provide more intelligent answers rather than the answer given In current news search engines since it can analyze the passage of time and the relation among news. In order to provide the trend analysis service, the capability of temporal reasoning is required, but the Semantic Web language such as OWL does not support the reasoning capability. Therefore, we propose a language TL-OWL(Temporal Web Ontology Language) extending OWL with the temporal reasoning.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10c
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• pp.559-561
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• 2003

최근 차세대 Web 기술로서 Semantic Web이 주목 받고 있다. Semantic Web에서는 Web상에 존재하는 문서에 Web Resource들에 대한 Ontology를 기반으로 Semantic Annotation을 하고 Ontology 추론 Agent를 통하여 의미 기반으로 Web을 검색할 수 있도록 해준다. 이와 같은 Semantic Web 기술의 핵심 요소는 Web Ontology이며 W3C에서는 이를 표현 할 수 있는 표준 언어로서 RDF기반의 OWL(Web Ontology Language) 명세를 제정하고 있다. 따라서 표준 Web Ontology 언어인 OWL을 위한 추론 시스템은 Semantic Web 검색 Agent의 구현을 위한 필수적인 기반 기술이라 할 수 있으나 아직 그 개발이 미비한 상태이다. OWL 추론 시스템을 구현하기 위해서는 OWL의 이론적인 기반을 제공하는 DL(Description Logic)을 추론할 수 있는 엔진을 사용하는 것이 한가지 방법이 될 수 있으나 OWL이 Rule과 같은 DL의 범주를 벗어나는 Vocabulary를 지원하는 언어로 확장되는 경우에 이를 처리하기가 어렵다. 또 다른 방법으로서 Logic Programming을 통하여 OWL 언어의 Semantic을 기술하고 정리 증명(Theorem Proving)을 통하여 Ontology를 추론하는 공리화(Axiomatisation) 기법이 있는데 이러한 방법의 장점은 기반이 되는 Logic의 범주 내에서 새로운 언어를 위한 Vocabulary의 확장이 용이하다는 점이다. 본 논문에서는 Axiomatisation 방법을 이용하여 OWL로 기술된 Ontology를 추론할 수 있는 시스템의 설계 및 구현에 대해 설명하기로 한다.

• Language and Information
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• v.9 no.1
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• pp.19-34
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• 2005

Ontology is an indispensable component in intelligent and semantic processing of knowledge and information, such as in semantic web. However, ontology construction requires vast amount of data collection and arduous efforts in processing these un-structured data. This study proposed a methodology to automatically construct and generate ontologies from Sejong Electronic Dictionary. As Sejong Electronic Dictionary is structured in XML format, it can be processed automatically by computer programmed tools into an OWL(Web Ontology Language)-based ontologies as specified in W3C . This paper presents the process and concrete application of this methodology.

• Journal of the Korean Institute of Intelligent Systems
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• v.15 no.7
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• pp.875-880
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• 2005

OWL(Web Ontology Language) is the Ontology Standard Language and the a lot of Ontologies are being constructed in OWL. But the research on the extension of OWL is also progressing because of the limit of representation power of in OWL language. The W3C suggests the SWRL(Semantic Web Rule Language) based on the combination of OWL and RuleML(Rule Markup Language), which is improved in the representation of rule. Thus, both OWL and SWRL are used for developing ontologies. However, research on inference of ontologies written in both languages is just begun. These day, for the inference of ontologies written in both languages, ontologies and divided in to two parts. The part written in OWL and written in SWRL. For the inference of the part written in OWL, Racer, a DL based inference engine, is used and for the other part Jess, a rule-based engine, is used. In this paper, we will propose three methods for integrated inference of the OWL part and the SWRL part of ontologies using Jess and some tools for ontology inference : OWLJessKB and SWRL Factory

• Journal of KIISE:Software and Applications
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• v.36 no.7
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• pp.509-522
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• 2009

The W3C Ontology Working Group has recently developed OWL as an ontology language for the Semantic Web. OWL, however, fails to perform the process of reasoning about temporal knowledge because it lacks full-pleadged semantics for temporal language. Entities in the real world are changing as time passes, while new facts are being introduced as new events occur. KBs without temporal information are incomplete and incorrect. In this paper, we propose an extended temporal ontology language called TL-OWL which provides an abstract syntax and semantics for representing and reasoning about temporal information in the Semantic Web.

• The KIPS Transactions:PartD
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• v.12D no.6 s.102
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• pp.881-888
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• 2005

As the internet continues to grow, the quantity of information on the Web increases beyond measure. The internet users' abilities and requirements to use information also become varied and complicated. Ontology can describe correct meaning of web resource and relationships between web resources. And it can extract conformable information that a user wants. Accordingly, we need the ontology to represent knowledge. W3C announced OWL(Web Ontology Language), a meaning description technology for such web resources. But, the development of a professional use of tools that can compose and edit effectively is not yet developed adequately. In this paper, we design and implement an Ontology editor which generates and edits OWL documents through intuitional interface, with a OWL parser, a Internal DataModel, and a Serializer.

• Journal of the Korea Computer Industry Society
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• v.7 no.3
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• pp.227-236
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• 2006

Semantic Web is getting popular to next web environment. Additionally, ontology language research is also activating to represent semantic relation of resource in semantic web. Specially, Ontology language as RDF and DAML+OIL appear on start point of research. But Ontology Language limited to describing characters of resource and to making a clear definition of relation of resource. So W3C suggest OWL at the next standard language for describing resource. OWL supply the lack of representation for RDF and RDF Schema. In this paper, we make Ontology to implement Online Retrieval System using OWL and propose the structure of storing Ontology document at the RDB. The structure support characters of OWL that are equivalent relationship, heterogeneous relationship, inverse relationship, union relationship and one of relationship between classes or properties. In this paper, we classify the extended elements for OWL from RDF Schema. And we propose the method of storing OWL using RDB for interoperability with many applications based on RDB. Finally, implement the storage and retrieval system based on OWL to provide advanced search function.

• Journal of the Korea Society of Computer and Information
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• v.14 no.2
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• pp.169-180
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• 2009

The conventional paper retrieval is the keyword-based search and as a huge amount of data be published, this search becomes more difficult in retrieving information that user want to find. In order to search for information to the user's intent, we need to introduce semantic Web that represents semantics of Web document resources on the Internet environment as ontology and enables the computer to understand this ontology. Therefore, we describe a paper retrieval system through OWL(Ontology Web Language) ontology-based reason in this paper. We build the paper ontology based on OWL which is new popular ontology language for semantic Web and represent the correlation among diverse paper properties as the DL(description logic) query, and then this system infers the correct results from the paper ontology by using the DL query and makes it possible to retrieve information intelligently. Finally, we compared our experimental result with the conventional retrieval.

• Journal of Korean Library and Information Science Society
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• v.37 no.2
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• pp.191-216
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• 2006

This paper deals with the definition, function and type of ontology based on precedent study particularly the paper describes a Using Methods for OWL vocabulary and syntactics to Ontology Automatic Construction. Also for easily learning the usage methods for OWL vocabulary and syntactics, it introduces a detailed definition for syntactics of Class, Property, Class relativeness, Property relativeness and presents a sample data and explanation based on Wine Ontology which have constructed.