• Proceedings of the Korean Information Science Society Conference
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• 2006.10c
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• pp.267-272
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• 2006

인터넷망의 지속적인 발달과 함께 웹 애플리케이션 개발 방법으로 XML 기반의 웹 서비스가 부각되면서 많은 웹 서비스들이 개발되었고, 점차 더 많은 웹 서비스들이 개발될 것으로 예상된다. 이처럼 급격하게 늘어나는 웹 서비스들 중에서 사용자가 원하는 웹 서비스 찾는 것이 중요한 이슈로 부각되고 있다. 그러나 현재의 웹 서비스 검색 표준인 UDDI 레지스트리는 키워드 기반이기 때문에 검색 성능의 한계점을 갖고 있다. 최근에 이러한 한계를 극복하고자 하는 많은 연구가 진행되고 있지만 아직은 많이 부족한 상황이다. 따라서 본 논문에서는 비록 키워드가 일치하지 않더라도 사용자가 원하는 웹 서비스를 찾을 수 있도록 웹 서비스 표준인 UDDI 레지스트리에 시맨틱 매칭 엔진(semantic matching engine)이라는 추가적인 시맨틱 레이어를 추가하여 재현율(recall)과 정확률(precision)을 모두 향상 시킬 수 있는 시스템을 제안한다.

• Transactions of the Korean Society of Machine Tool Engineers
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• v.15 no.5
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• pp.37-43
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• 2006

The target of this study is development of web based mold discrimination system by matching vision information with CAD database. The use of 2D vision image makes possible speedy mold discrimination from many databases. The image processing such as preprocessing, cleaning is done for obtaining vivid image with object information. The web-based system is a program which runs to exchange messages between a server and a client by making of ActiveX control and the result of mold discrimination is shown on web-browser. For effective feature classification and extraction, signature method is used to make sensible information from 2D data. As a result, the possibility of proposed system is shown as matching feature information from vision image with CAD database samples.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2004.10a
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• pp.277-280
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• 2004

In recent die industry, web-based production control system is applied widely because of the improvement of IT technology. In result, many researches are published about remote monitoring at a long distance. The target of this study is to develop Die Discrimination System using web-based vision, and CAD API when client discriminates die in process at a long distance. Special feature of this system is to use 2D vision image and to match with DB. We can get discrimination result enough to want with short time and a little low precision in web-monitoring by development of this system.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.3
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• pp.173-186
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• 2013

Web-based map services provide various geographic information that users want to get by continuous updating of data. Those map services provide different information for a geographic object respectively. It causes several problems, and most of all various information cannot be integrated and provided. To resolve the problem, this paper proposes a system which can integrate diverse geographic information and provide users rich geographic information. In this paper, a hybrid schema matching (HSM) algorithm is proposed and the algorithm is a mixture of the adapter-based semantic processing method, static semantic management-based approach, and dynamic semantic management-based approach. A comparative evaluation is described to show effectiveness of the proposed algorithm. The proposed algorithm in this paper improves the accuracy of schema matching because of registration and management of schemas of new semantic information. The proposal enables vocabulary-based schema matching using various schemas, and it thus also supports high usability. Finally, the proposed algorithm is cost-effective by providing the progressive extension of relationships between schema meanings.

• Korean Journal of Organic Agriculture
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• v.21 no.1
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• pp.1-18
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• 2013

Animal and crop production systems were integrated on a single farm. This integrated farming system recycled nutrients on the farm. The separation of animal and crop production with the introduction of cheap commercial fertilizers, farms were not used land-applied manure. The on-line manure matching is one of the emerging business in the achievement of recycling and resource recovery. The manure matching actively promotes the reuse and recycling of by-products and manure. This study constructs to manure matching information system to solve the exchange problems between herders and croppers. Manure matching web sites designed. This paper introduces a web-based animal manure matching system. A manure matching service, part of the manure transport, links farmers who produce excess manure with farmers who can use the manure. Farmers registered with the service have requested manure. The manure matching service supports the transport project by linking farmers with excess manure with those farmers who can utilize the manure safely as a nutrient source. The goal of the service is to protect water quality by fostering efficient land application. Benefits to those who use the manure network include reduced disposal costs, lower purchase costs and recycling of manure. The manure matching is based on the principle that 'one persons waste is another person's fertilizer.' It provides a free online matchmaking service for environmentally safe manure recycling management system.

• Convergence Security Journal
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• v.8 no.3
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• pp.1-8
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• 2008

The pattern matching part of Intrusion Detection System based on misuse-detection mechanism needs much processing time and resources, and it has become a bottleneck in system performance. Moreover, it derives denial-of-service attack. In this paper, we propose (1) framework architecture that is strong against denial-of-service attack and (2) efficient pattern matching method especially for web server system. By using both of these 2 methods, we can maintain web server system efficiently secure against attacks including denial-of-service.

• The Journal of the Korea Contents Association
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• v.17 no.11
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• pp.389-397
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• 2017

Recently semantic web document is produced and added in repository in a cloud computing environment and requires an intelligent semantic agent for analytical classification of documents and information retrieval. The traditional methods of information retrieval uses keyword for query and delivers a document list returned by the search. Users carry a heavy workload for examination of contents because a former method of the information retrieval don't provide a lot of semantic similarity information. To solve these problems, we suggest a key word frequency and concept matching based semantic clustering model using hadoop and NoSQL to improve classification accuracy of the similarity. Implementation of our suggested technique in a cloud computing environment offers the ability to classify and discover similar document with improved accuracy of the classification. This suggested model is expected to be use in the semantic web retrieval system construction that can make it more flexible in retrieving proper document.

• Journal of Internet Computing and Services
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• v.11 no.1
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• pp.59-69
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• 2010

With the growing number of web services, there arise issues of finding suitable services. But, the traditional keyword search method is insufficient for two reasons: (1) this does not capture the underlying semantics of web services. (2) this does not suffice for accurately specifying users' information needs. In order to overcome limitations of this keyword search method, we propose a novel syntactic analysis and ontology learning method. The syntactic analysis method gives us a breadth of coverage for common terms, while the ontology learning method gives a depth of coverage by providing relationships. By combining these two methods, we hope to improve both the recall and the precision. We describe an experimental study on a collection of 508 web services that shows the high recall and precision of our method.

• Journal of Information Technology and Architecture
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• v.10 no.1
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• pp.71-77
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• 2013

XML schema matching is the task of finding semantic correspondences between elements of two schemas. XML schema matching plays an important role in many application, such as schema integration, data integration, data warehousing, data transformation, peer-to-peer data management, semantic web etc. In this paper, we propose an XML element matching algorithm based on rules and structural properties. The proposed algorithm involves classifying elements as unique or non-unique elements according to the structural properties of XML documents and deciding on element matching in accordance with rules. We present experimental results that demonstrate the effectiveness of the proposed approach.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10a
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• pp.121-123
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• 2003

본 연구에서는 현재 웹 환경에서의 단순한 string matching 검색에 대한 한계점을 해결하기 위해서 온톨로지 기반의 자원검색 방안을 논한다. 테스트 베드로서 제주도의 숙박, 관광정보에 따른 온톨로지를 DAML+OIL언어로 생성하고 Jena에서 지원하는 API를 이용하여 사용자가 원하는 정보검색을 수행할 수 있는 테스트 베드 구축 방안도 제시한다.