• The KIPS Transactions:PartB
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• v.13B no.1 s.104
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• pp.21-26
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• 2006

The semantic web is an emerging paradigm in the information retrieval and Web-based system. This paper deals with a Web change detection system which employs the semantic web and ontology. While existing Web change detection systems detect the syntactic change, the proposed system focuses on the detection of the semantic change. The system detects the change only when the web has semantic change. To achieve this, the system employs the domain-specific ontology (e.g., computer science professional person information in the paper). The Web pages regarding before and after change are converted according to the ontology. Then the comparison is performed. The experimental result shows the semantic-based change detection is more useful than the syntax-based change detection.

• Journal of Digital Convergence
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• v.10 no.5
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• pp.267-273
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• 2012

The semantic relationship structures hierarchically the huge amount of document objects which is usually not formatted. However, it is very difficult to structure relevant data from various distributed application domains. This paper proposed a new object management method to service the distributed domain objects by using semantic reference relationship. The proposed mechanism utilized the profile structure in order to extract the semantic similarity from application domain objects and utilized the joint matrix to decide the semantic relationship of the extracted objects. This paper performed the simulation to show the performance of the proposed method, and simulation results show that the proposed method has better retrieval performance than the existing text mining method and information extraction method.

• Journal of Korea Multimedia Society
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• v.9 no.2
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• pp.226-233
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• 2006

With the advancement of the Internet, bulky information overflows in the Web. When the Internet user wants to get the necessary information, it is essential to use the retrieval system. It is not easy for the user to get the information from the result of the retrieval system. Various research activities have been advanced for the result improvement of the retrieval system. Although retrieval results can be improved with ontology, it usually takes lots of costs for users to construct the Japanese domain ontology. This paper discusses how to integrate search result refinement and domain ontology refinement using the domain ontology tool called Japanese DODDLE, and how to improve the research result using the constructed ontology. To prove the effectiveness of the suggested methodology, the case study with rocket operation is performed and it shows that the methodology can be promising.

• Proceedings of the Korea Database Society Conference
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• 2008.05a
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• pp.389-403
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• 2008

As the information of web dramatically increase, the existing web reveals more and more limitations in information search because web pages are designed only for human consumption by mixing content with presentation. In order to improve this situation, the Semantic Web comes on the stage by W3C. Semantic web is based on ontology that defines relationships between resources and it is enough to bring a significant advancement in web search. But to do this, the Semantic Web must provide a novel search and visualization methods which can make users instantly and intuitively understand why and how the results are retrieved because ontology has formal explicit descriptions of meaning. In this paper, we propose a semantic association-based search methodology that consists of how to find relevant information for a given user's query in the ontology, that is, a semantic network of resources and properties and how to provide proper visualization and navigation methods on the results. From this work, users can search the semantically associated resources for their query and also navigate such associations between resources.

• The Journal of Society for e-Business Studies
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• v.9 no.3
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• pp.259-276
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• 2004

ebXML and Web Services provide UDDI and ebXML registry for storing and managing the business and Service information of companies, respectively. Recently, W3C have released the OWL(Web Ontology Language) to Recommendation, and OWL-S proposed to describe the semantics of Web Services using the OWL ontologies. In this paper, we compared the OWL-S with the registry information model(RIM) of ebXML and the data structure of UDDI, and directly connect ones, which that of ebXML similar to that of UDDI; we extend the structure of the OWL to connect the rests. Consequently, our system enables to construct the ontologies of services and discover their semantics by using the information stored in the registries, and tintegrate UDDI, ebXML registry and OWL-S registry. By using the extending OWL-S documents in our system, agents can utilize for the semantic matchmaking.

• 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.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.05a
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• pp.6-9
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• 2007

최근 e-비즈니스나 인터넷 쇼핑몰 사이트에서는 많은 양의 상품 이미지 정보와 컨텐츠를 취급하고 있으며, 이로 인하여 효과적인 실시간 의미정보 검색의 필요성이 대두되고 있다. 본 논문에서는 XML 기술과 퍼지기술을 이용하여 웹상의 상품 정보를 의미적으로 검색할 수 있는 시스템에 대해 기술한다. 본 논문에서 제시한 시스템은 상품 이미지 XML 문서를 이용하여 메타데이타를 추출하고, 추출된 메타데이타를 의미정보로 자동 변환하여 실시간 서비스할 수 있는 방법을 제안한다. 따라서, 인터넷 비즈니스를 좀 더 지능화 할 수 있는 시맨틱 웹 환경이나 Web2.0 을 구현하는데 기여할 수 있을 것이라 기대한다. 또한 사용자의 입장에서는 실시간 의미정보를 서비스 받을 수 있는 장점을 가지게 될 것이다.

• Proceedings of the Korean Information Science Society Conference
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• 2005.07b
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• pp.7-9
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• 2005

온톨로지 언어를 기반으로 하는 시맨틱 웹 상에서 온톨로지 데이터에 대한 질의를 효율적으로 처리하기 위해서는 질의 처리에 효과적인 저장 스키마의 구축이 필요하다. 본 논문에서는 온톨로지 데이터의 검색을 위한 효과적인 저장 스키마 구축 기법을 제안하고자 한다. 아울러 본 논문에서 제안하는 저장 스키마를 위한 질의 기법을 제안하고자 한다. 온톨로지 데이터를 추출할 때에는 계층 구조를 기반으로 질의 수행을 해야 한다. 따라서 본 논문에서는 계층 정보를 유지하기 위해 별도의 XML 문서를 기존의 넘버링 기법을 기반으로 생성하여 하위 정보의 추출을 효과적으로 지원하고자 한다. 실험을 통한 질의 처리 성능을 통해서 본 논문에서 제안하는 저장 스키마 기법과 질의 처리 기법이 효과적임을 보인다.

• The Journal of the Korea Contents Association
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• v.12 no.12
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• pp.35-45
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• 2012

Researchers and scientists spend huge amount of time in analyzing the previous studies and their results. In order to timely take the advantageous position, they usually analyze various resources such as paper, patents, and Web documents on recent research issues to preoccupy newly emerging technologies. However, it is difficult to select invest-worthy research fields out of huge corpus by using the traditional information search based on keywords and bibliographic information. In this paper, we propose a method for efficient creation, storage, and utilization of semantically relevant information among technologies, products and research agents extracted from 'big data' by using text mining. In order to implement the proposed method, we designed an ontology that creates technological knowledge for semantic web environment based on the relationships extracted by text mining techniques. The ontology was utilized for InSciTe Adaptive, a R&D trends analysis and forecast service which supports the search for the relevant technological knowledge.

• The Journal of the Korea Contents Association
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• v.8 no.1
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• pp.318-327
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• 2008

With the advance of information technologies and the spread of Internet use, the volume of usable information is increasing explosively. A content recommendation system provides the services of filtering out information that users do not want and recommending useful information. Existing recommendation systems analyze the records and patterns of Web connection and information demanded by users through data mining techniques and provide contents from the service provider's viewpoint. Because it is hard to express information on the users' side such as users' preference and lifestyle, only limited services can be provided. The semantic Web technology can define meaningful relations among data so that information can be collected, processed and applied according to purpose for all objects including images and documents. The present study proposes a content recommendation search system that can update and reflect personalized profiles dynamically in semantic Web environment. A personalized profile is composed of Collector that contains the characteristics of the profile, Aggregator that collects profile data from various collectors, and Resolver that interprets profile collectors specific to profile characteristic. The personalized module helps the content recommendation server make regular synchronization with the personalized profile. Choosing music as a recommended content, we conduct an experience on whether the personalized profile delivers the content to the content recommendation server according to a service scenario and the server provides a recommendation list reflecting the user's preference and lifestyle.