• The KIPS Transactions:PartD
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• v.11D no.7 s.96
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• pp.1357-1366
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• 2004

As the importance or XML is increasing to manage information and exchange data efficiently in the web, there are on going works about structural integration and retrieval. The XML. document with the defined structure can retrieve the structure through the DTD or XML schema, but the existing method can't apply to XML. documents which haven't the structure information. Therefore. in this paper we propose a new clus-tering technique at a basic research which make it possible to retrieve structure fast about the XML documents that haven't the structure information. We first estract the feature of frequent structure from each XML document. And we cluster based on the similar structure by con-sidering the frequent structure as representative structure of the XML document, which makes it possible to retrieve the XML document raster than dealing with the whole documents that have different structure. And also we perform the structure retrieval about XML documents based on the clusters which is the group of similar structure. Moreover, we show efficiency of proposed method to describe how to apply the structure retrieval as well as to display the example of application result.

• Proceedings of the CALSEC Conference
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• 2005.03a
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• pp.55-61
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• 2005

We will introduce a new web-based knowledge management system in progress, in which XML-based web information extraction and our structuring knowledge technologies are combined using ontology-based natural language processing. Our aim is to provide efficient access to heterogeneous information on the web, enabling users to use a wide range of textual and non textual resources, such as newspapers and databases, effortlessly to accelerate knowledge acquisition from such knowledge sources. In order to achieve the efficient knowledge management, we propose at first an XML-based Web information extraction which contains a sophisticated control language to extract data from Web pages. With using standard XML Technologies in the system, our approach can make extracting information easy because of a) detaching rules from processing, b) restricting target for processing, c) Interactive operations for developing extracting rules. Then we propose a structuring knowledge system which includes, 1) automatic term recognition, 2) domain oriented automatic term clustering, 3) similarity-based document retrieval, 4) real-time document clustering, and 5) visualization. The system supports integrating different types of databases (textual and non textual) and retrieving different types of information simultaneously. Through further explanation to the specification and the implementation technique of the system, we will demonstrate how the system can accelerate knowledge acquisition on the Web even for novice users of the field.

• Proceedings of the Korea Information Processing Society Conference
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• 2006.11a
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• pp.325-328
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• 2006

최근 DTD (Document Type Descriptor)를 포함하고 있지 않은 XML 문서의 사용이 증가하고 있다. 따라서 서로 다른 구조를 갖는 많은 양의 XML 문서를 관계형 DBMS에 저장하거나, 인덱스를 이용하여 매핑하는 등 보다 효율적으로 관리하기 위한 다양한 인덱싱 기법에 대한 연구가 진행되고 있다. 이러한 연구들 중 경로 비트맵 인덱싱 기법은 경로 구성 유사도를 기반으로 3차원 비트맵 클러스터를 생성하고, 클러스터 단위의 검색을 수행함으로서 빠른 검색 속도를 보여주었다. 그러나 이 기법은 비교하려는 두 경로 중 항상 짧은 경로가 기준 경로가 되는 한계점과, 같은 노드 구성을 가지는 두 경로에서도 노드의 위치에 따라 그 유사도가 크게 변하는 등의 여러 문제점을 가지고 있었다. 이러한 문제점을 해결하고, 정확한 클러스터링을 수행하기 위해서는 합리적인 경로 유사도 계산식이 필요하게 되었다. 본 논문에서는 기존 방법의 문제점을 해결하고, 보다 정확한 클러스터링을 수행할 수 있는 새로운 경로 유사도 계산식을 제안한다.

• Journal of Information Technology and Architecture
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• v.10 no.1
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• pp.123-135
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• 2013

This paper presents a two-dimensional grouping index(2DG-index) for efficient processing of XML filtering queries. Recently, many index techniques have been suggested for the efficient processing of structural relationships among the elements in the XML database such as an ancestor- descendant and a parent-child relationship. However, these index techniques focus on simple path queries, and don't consider the path queries that include a condition value for filtering. The 2DG-index is an index structure that deals with the problem of clustering index entries in the twodimensional domain space that consists of a XML path identifier domain and a filtering data value domain. For performance evaluation, we have compared our proposed 2DG-index with the conventional one dimensional index structure such as the data grouping index (DG-index) and the path grouping index (PG-index). As the result of the performance evaluations, we have verified that our proposed 2DG-index can efficiently support the query processing in XML databases according to the query types.

• Journal of KIISE:Software and Applications
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• v.29 no.9
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• pp.676-683
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• 2002

The success of XML(eXtensible Markup Language) is primarily based on its flexibility : everybody can define the structure of XML documents that represent information in the form he or she desires. XML is so flexible that XML documents cannot be automatically provided with an underlying semantics. Different tag sets, different names for elements or attributes, or different document structures in general mislead the task of classifying and clustering XML documents precisely. In this paper, we design and implement a system that allows checking the semantic-based similarity between XML tags. First, this system extracts the underlying semantics of tags and then expands the synonym set of tags using an WordNet thesaurus and user-defined word library which supports the abbreviation forms and compound words for XML tags. Seconds, considering the relative importance of XML tags in the XML documents, we extend a conventional vector space model which is the most generally used for document model in Information Retrieval field. Using this method, we have been able to check the similarity between XML tags which are represented different tags.

• The KIPS Transactions:PartB
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• v.15B no.5
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• pp.493-500
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• 2008

Although modern day people gather many data from the network, the users want only the information needed. Using this technology, the users can extract on the data that satisfy the query. As the previous studies use the single data in the document, frequency of the data for example, it cannot be considered as the effective data clustering method. What is needed is the effective clustering technology that can process the electronic network documents such as the e-mail or XML that contain the tags of various formats. This paper describes the study of extracting the information from the user query based on the multi-attributes. It proposes a method of extracting the data such as the sender, text type, time limit syntax in the text, and title from the e-mail and using such data for filtering. It also describes the experiment to verify that the multi-attribute based clustering method is more accurate than the existing clustering methods using only the word frequency.

• Journal of Korea Society of Digital Industry and Information Management
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• v.4 no.3
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• pp.55-67
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• 2008

The user has to subscribe to the library so that user use the library service. User has to register at that in order to use of the nearby another library. Moreover, service such as the inter-library loan and returning my loan book to other library in which the mutual cooperation between the library is needed necessity. But it services due to the constraint condition because of the administrative or technical problems. In this paper excludes the administrative element. The web service model is forming the cluster based on the mutual cooperation between the technologically adjacent public library and provides the technologically necessary single sign-on (SSO) in order to support the additional service. The single sign-on of the library which is concluded by this model using the security information exchange standard (Security Assertion Markup Language : SAML), it is processed by XML base. In using this model, the loan information is confirmed in the attribution in return service library and the model can utilize for the return of loan book in other library. It designs the single sign-on about it.

• Proceedings of the Korean Information Science Society Conference
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• 2008.06b
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• pp.337-341
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• 2008

갈수록 복잡해지는 내장형 시스템을 개발함에 있어서 소프트웨어 개발의 중요성은 날로 커지고 있다. 기존 연구에서 소프트웨어 개발 효율을 높이기 위해 소프트웨어의 재사용 가능성을 높이고 병렬성 명세를 용이하게 하고자 중간단계코드(CIC)를 정의하였다. 이 중간단계 코드는 각 태스크의 순수 알고리즘을 기술하는 C형태의 태스크 코드와 그 외의 정보를 포함하는 XML형태의 아키텍쳐 정보 파일로 구성된다. 이 CIC는 사용자가 직접 기술할 수 있고 각종 모델로부터 자동 생성할 수도 있다. 이 논문에서는 후자에 초점을 두고 데이터 플로우 모델에 사용된 블록들을 클러스터링하여 태스크 코드를 생성하는 기법을 제안하였다. 이것을 위해 블록 클러스터링 알고리즘은 주어진 클러스터의 크기로 블록이 묶일 때까지 블록의 수행시간 정보를 고려하여 함수 병렬성을 최대한 보존하며 블록들을 묶어나간다. H.263 코덱 예제를 이용한 실험을 통해 제안하는 방법이 다양한 클러스터의 크기 조건에 대해서 다양한 클러스터링 결과를 제공함을 보였다.

• Journal of Korea Society of Digital Industry and Information Management
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• v.7 no.3
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• pp.11-23
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• 2011

Recently, Open APIs are getting attention with the advent of Web 2.0. Open APIs are used to combine services and generate new services by Mashup. However, the growing number of available Open APIs raises a challenging issue how to locate the desired APIs. We automatically build ontologies from WSDL, WADL, HTML, and their underlying semantics. The key ingredient of our method is a technique that clusters input/output parameters in the collection of API methods into semantically meaningful concepts, and captures the hierarchical relationships between the terms contained in a parameter. These semantic ontologies allow search engines to support a similarity search for Open APIs based on various protocols such as SOAP, REST, JavaScript, and XML-RPC, and significantly improve the quality of APIs matching by the clustering and hierarchical relationships mechanism.

• Journal of the Korea Society of Computer and Information
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• v.12 no.2 s.46
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• pp.9-19
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• 2007

In recent, development of wireless internet technology gradually has increased multimedia application in mobile device. Specially, application of grand capacity multimedia contents has increased in mobile environment gradually. MPEG-7 can search multimedia data using various type. But in restricted grand capacity of multimedia, MPEG-7 is used to be limited in desktop computer system mostly. Therefore, management of grand capacity multimedia data has become very important researching topic in mobile environment, and so embedded DBMS based on MPEG-7 for multimedia data management in client-server environment is needed. The system supports restricted hardware resource for multimedia application in mobile device. In this paper, we propose a method for MPEG-7 data clustering that included MPEG-7 data property. On the base of the clustering result, we also develop the embedded multimedia database management system based on MPEG-7 scheme(EMDS:MPEG-7 Scheme Based Embedded Multimedia Database Management System) in mobile device such as PDA.