• Journal of The Korean Association of Information Education
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• v.8 no.3
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• pp.353-360
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• 2004

World Wide Web is not more meaningless sea of information but is becoming the Semantic Web that provides many users with meaningful information. The starting point is the XML and metadata, RDF is a stopover which gives technique to relate arbitrary web resources. And now, the semantic and logic of web resources can be settled in the Ontology. A lot of educational multimedia web resources in Korea have produced their metadata with KERIS's KEM(Korea Educational Metadata). Therefore our country have to start the study of the semantic and logic in web resources. But, many researchers in Korea are more eager to study Dublin Core's DC and SCORM's LOM metadata specification than KEM. Thus the study of method about sharing and integrating these three metadata specifications should be performed before the study of semantic and logic in web resources in Korea. We design the Ontology to integrate these three metadata specifications and implement the prototype system using this Ontology. These three metadata have some elements that have same labels and meanings, and other elements have different labels and same meanings. To match these different labels which have same meanings, we adapted the one-to-one mapping technique in designing our Ontology. This designed Ontology was imported as "integrated schema" in our prototype searching system to integrate three different metadata in databases. Moreover we know that the more specific property design of class in Ontology was needed in order to provide users with more informed searching results such as synonym, antonym, hierarchy and associations.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.10
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• pp.740-751
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• 2009

Much research on semantic geographic information systems that incorporating the Semantic Web and geographic information has been actively studied. However, the existing geographic information systems have a system dependency problem that users can input and retrieve non-spatial information only in a specific system. It also causes difficulty in providing rich services. Therefore, this paper proposes an implementation model for population of Geo-ontology from non-structured Web resources. The proposed model can populate instances for Web ontology independently of systems, and thus it enables a richer Web service development. Finally, this paper shows the prototype that populates instances including a Geo-ontology building example for a University selected as an application domain.

• Journal of the Korea Society of Computer and Information
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• v.10 no.3 s.35
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• pp.229-236
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• 2005

The Semantic Web enables machines to achieve an effective retrieval, integration, and reuse of web resources. The keyword search method currently used has a limit to accurate search results because of a simple string matching method in web environment. This paper proposes an Ontology-Based Information Retrieval which can solve the problems and retrieve better search results through semantic relations. In this system, we implemented the Cultural Assets Ontology based on OWL with RDQL and Jena API. we also suggest a method to handle properties stored in a database.

• Proceedings of the CALSEC Conference
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• 2004.02a
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• pp.287-293
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• 2004

■ Sounds the title intriguing to you, but suspicious about the content of our talk ？ · Title ： When Ontology meets e-Catalog. ·Hot subjects ： ·Terms (or topics) such as ontology, Sermantic Web. and e-Catalogs have been on many people's lips recently. ·However, we claim that the outcomes or contents of the majority of talks or workshops have touched the surface of the subjects. For examples. -Good for having Ontology... -Go for Semantic Web... -Probably Semantic Web being feasible for e-Commerce....(omitted)

• Journal of Korea Multimedia Society
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• v.9 no.12
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• pp.1552-1559
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• 2006

In a web environment, similar information exists in many different places in diverse formats. Even duplicate information is stored in the various databases using different terminologies. Since most information serviced in the current World Wide Web however had been constructed before the advent of ontology, it is practically almost impossible to construct ontology for all those resources in the web. In this paper, we assume that most information in the web environment exist in the form of RDBMS, and propose a matching method between domain ontology and existing RDBMS tables for semantic retrieval. In the processing of extracting a local ontology, some problems such as losing domain in formation can occur since the correlation of domain ontology has not been considered at all. To prevent these problems, we propose an instance-based matching which uses relational information between RDBMS tables and relational information between classes in domain ontology. To verify the efficiency of the method proposed in this paper, several experiments are conducted using the digital heritage information currently serviced in the countrywide museums. Results show that the proposed method increase retrieval accuracy in terms of user relevance and satisfaction.

• The KIPS Transactions:PartD
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• v.13D no.4 s.107
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• pp.525-534
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• 2006

Ontology specifies the knowledge in a specific domain and defines the concepts of knowledge and the relationships between concepts. It is possible to provide the service based on the semantic web through the ontology. Therefore, to specify and define the knowledge in a specific domain, it is required to generate the ontology which conceptualizes the knowledge. Accordingly, to search the information of potential customers for home-delivery marketing of post office, we design the specific domain to generate the ontology based on the semantic web in this paper. And we propose how to retrieve the information, using the generated ontology. We implement the data search robot which collects the information based on the generated ontology. Also, we confirm that the ontology and the search robot perform the information retrieval exactly.

• 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.

• Journal of Korea Society of Digital Industry and Information Management
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• v.6 no.4
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• pp.11-20
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• 2010

Ontology is important role in semantic web to construct and query semantic data. Because of dynamic characteristic of ontology, P2P environment is considered for ontology processing in web environment. For efficient processing of ontology in P2P environment, clustering of peers should be considered. When new peer is added to the network, cluster allocation problem of the new peer is important for system efficiency. For clustering of peers with similar chateristics, similarlity measure method of ontology in added peer with ontologies in other clusters is needed. In this paper, we propose similarity measure techniques of ontologies for clustering of peers. Similarity measure method in this paper considered ontology's strucural characteristics like schema, class, property. Results of experiments show that ontologies of similar topics, class, property can be allocated to the same cluster.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.3
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• pp.121-127
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• 2017

Recently, it has been actively Semantic Web studies for 2-dimensional data of the spatial data. 2-dimensional Semantic Web, are fused existing Geospatial Web and the Semantic Web, and integrate with the efficient cooperation of the vast non-spatial information on a variety of geospatial information and general Web, it is possible to provide it is a Web services technology of intelligent geographic information. However, in the research for multi-dimensional data processing, and in those who are missing overall, relevant standards also not been enacted. Therefore, in this paper, by applying a variety of base of the theory and technology related to this to take place the Ontology processing technology, multi-dimensional data processing is possible ontology, question, and suggested the contents of the reasoning. Also, we tried to apply what you have proposed respectively to the multi-dimensional query virtual scenario necessary.

• Journal of Information Science Theory and Practice
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• v.2 no.4
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• pp.61-76
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• 2014

The exponential growth of information on the web far exceeds the capacity of present day information retrieval systems and search engines, making information integration on the web difficult. In order to overcome this, semantic web technologies were proposed by the World Wide Web Consortium (W3C) to achieve a higher degree of automation and precision in information retrieval systems. Semantic web, with its promise to deliver machine understanding to the traditional web, has attracted a significant amount of research from academia as well as from industries. Semantic web is an extension of the current web in which data can be shared and reused across the internet. RDF and ontology are two essential components of the semantic web architecture which support a common framework for data storage and representation of data semantics, respectively. Ontologies being the backbone of semantic web applications, it is more relevant to study various approaches in their application, usage, and integration into web services. In this article, an effort has been made to review the research work being undertaken in the area of design and development of ontology supported information systems. This paper also briefly explains the emerging semantic web technologies and standards.