• Title/Summary/Keyword: Semantic Web Services

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Schemes for Managing Semantic Web Data in Ubiquitous Environment (유비쿼터스 환경을 고려한 시맨틱 웹 데이터 관리 기법 연구)

  • Kim, Youn-Hee;Kim, Jee-Hyun
    • Journal of Digital Contents Society
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    • v.10 no.1
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    • pp.1-10
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    • 2009
  • One important issue to generalize the ubiquitous paradigm is the development of user-centralized and intelligent ubiquitous computing systems. Sharing knowledge and correct communication between users and devices are needed to be aware of continuous changed context information and infer services for which users are suited. The goal of this paper is to describe and manage effectively the meaning of services or data which each device offers for interaction between users and devices based on semantic relationships and reasoning. In this paper, we represent semantic data using OWL and design a ubiquitous based intelligent system. We propose some index structures and strategies to process queries classified by each subsystem and adopt labeling schemes to identify classes and resources in the semantic data. We can find devices which satisfies various user's requests exactly and quickly using the proposed strategies.

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Hybrid Schema Matching (HSM): Schema Matching Algorithm for Integrating Geographic Information (Hybrid Schema Matching (HSM): 지리정보 통합을 위한 하이브리드 스키마 매칭 알고리즘)

  • Lee, Jiyoon;Lee, Sukhoon;Kim, Jangwon;Jeong, Dongwon;Baik, Doo-Kwon
    • 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.

A Study on the Library 2.0 Service From a Information Ecosystem View Point (정보생태계 관점에서 본 도서관 2.0 서비스의 연구)

  • Lee, Soo-Sang
    • Journal of the Korean Society for Library and Information Science
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    • v.42 no.2
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    • pp.29-49
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    • 2008
  • Library 2.0 stands for the term which suggests the changes in library's services. Library 2.0, the term, was first appeared in 2005 and have studied as a meaningful model for library services. The majority was related to the definition of basic concepts, overview of best practices, and case study for individual implementation. There are three goals of this study which is distinguished from other library 2.0 studies. First, I have surveyed various types of services and classified into three groups. Second, I have examined the properties viewed in this light of content, user, and manager. Third, I have propose a new conceptual model of a information ecosystem which thinks the library 2.0 collectively.

Semantic Matching Engine for Searching Web Services (웹 서비스 검색을 위한 시맨틱 매칭 엔진)

  • Yang, Seung-Hoon;Lee, Dae-Wook;Kwon, Joon-Ho;Lee, Suk-Ho
    • 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.

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A Method for Automatic Generation of OWL-S Service Ontology

  • Yang, Jin-Hyuk;Chung, In-Jeong
    • Journal of Information Processing Systems
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    • v.2 no.2
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    • pp.114-123
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    • 2006
  • We present in this paper the methodology for automatic generation of OWL-S service model ontology along with the results and issues. First, we extract information related to atomic services and their properties such as IOPE from the UML class diagram, and retrieve information related to the composition of services from the UML state-chart diagram. Then, the XSLT applications utilize the acquired information to generate the OWL-S service model ontology through the predefined mappings between OWL-S constructs for composite services and UML state-chart primitives. For the justification of generated service ontology, several validation checks are performed. Our service ontology generation method is general and fully automatic, as well as effective, in that it is achieved in an environment familiar to developers, and information needed to generate service ontology is provided necessarily during service development. It is also noticeable to facilitate representing the condition with GUI rather than a complex language such as OCL.

Web Image Classification using Semantically Related Tags and Image Content (의미적 연관태그와 이미지 내용정보를 이용한 웹 이미지 분류)

  • Cho, Soo-Sun
    • Journal of Internet Computing and Services
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    • v.11 no.3
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    • pp.15-24
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    • 2010
  • In this paper, we propose an image classification which combines semantic relations of tags with contents of images to improve the satisfaction of image retrieval on application domains as huge image sharing sites. To make good use of image retrieval or classification algorithms on huge image sharing sites as Flickr, they are applicable to real tagged Web images. To classify the Web images by 'bag of visual word' based image content, our algorithm includes training the category model by utilizing the preliminary retrieved images with semantically related tags as training data and classifying the test images based on PLSA. In the experimental results on the Flickr Web images, the proposed method produced the better precision and recall rates than those from the existing method using tag information.

Ontology-based IoT Context Information Modeling and Semantic-based IoT Mashup Services Implementation (온톨로지 기반의 IoT 상황 정보 모델링 및 시맨틱 기반 IoT 매쉬업 서비스 구현)

  • Seok, Hyun-Seung;Lee, Yong-Ju
    • The Journal of the Korea institute of electronic communication sciences
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    • v.14 no.4
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    • pp.671-678
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    • 2019
  • The semantic information provided through the semantic-based IoT system will produce new high value-added products that are completely different from what we have known and experienced. From this point of view, the key issue of current IoT technology and applications is the development of an intelligent IoT platform architecture. The proposed system collects the IoT data of the sensors from the cloud computer, converts them into RDF, and annotates them with semantics. The converted semantic data is shared and utilized through the ontology repository. We use KT's IoTMakers as a cloud computing environment, and the ontology repository uses Jena's Fuseki server to express SPARQL query results on the web using Daum Map API and Highcharts API. This gives people the opportunity to access the semantic IoT mash-up service easily and has various application possibilities.

Ontology and Text Mining-based Advanced Historical People Finding Service (온톨로지와 텍스트 마이닝 기반 지능형 역사인물 검색 서비스)

  • Jeong, Do-Heon;Hwang, Myunggwon;Cho, Minhee;Jung, Hanmin;Yoon, Soyoung;Kim, Kyungsun;Kim, Pyung
    • Journal of Internet Computing and Services
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    • v.13 no.5
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    • pp.33-43
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    • 2012
  • Semantic web is utilized to construct advanced information service by using semantic relationships between entities. Text mining can be applied to generate semantic relationships from unstructured data resources. In this study, ontology schema guideline, ontology instance generation, disambiguation of same name by text mining and advanced historical people finding service by reasoning have been proposed. Various relationships between historical event, organization, people, which are created by domain experts, are linked to literatures of National Institute of Korean History (NIKH). It improves the effectiveness of user access and proposes advanced people finding service based on relationships. In order to distinguish between people with the same name, we compares the structure and edge, nodes of personal social network. To provide additional information, external resources including thesaurus and web are linked to all of internal related resources as well.

A Study on Library 3.0 Concept and its Service Model (도서관 3.0의 개념과 서비스 모형에 관한 연구)

  • Noh, Young-Hee
    • Journal of the Korean Society for information Management
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    • v.27 no.4
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    • pp.283-307
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    • 2010
  • Recently the concept of Library 3.0 and its substance have been discussed by scholars and specialists along with Web 3.0. This study aims to analyze the debates on Library 3.0 and review the concept of Library 3.0. In addition, this study proposes library 3.0 service model based on its analysis. The keywords of in the proposed Library 3.0 model in this study is the Social Semantic Digital Library(SSDL), the Linked Library, and the Mobile Library. First, the SSDL means a real knowledge sharing and cooperation by applying both semantic web technology that which can manage data by machines and social networking services into e-libraries. Second, the Linked Library indicates that library resources become linked data that link libraries in all over the world. Finally, the Mobile Library refers to ubiquitous library equipped with RFID and mobile technology.

Design and Implementation of Adaptive Fault-Tolerant Management System over Grid (그리드 환경의 적응형 오류 극복 관리 시스템 설계 및 구현)

  • Kim, Eun-Kyung;Kim, Jeu-Young;Kim, Yoon-Hee
    • The KIPS Transactions:PartA
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    • v.15A no.3
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    • pp.151-154
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    • 2008
  • A middleware in grid computing environment is required to support seamless on-demand services over diverse resource situations in order to meet various user requirements [1]. Since grid computing applications need situation-aware middleware services in this environment. In this paper, we propose a semantic middleware architecture to support dynamic software component reconfiguration based fault and service ontology to provide fault-tolerance in a grid computing environment. Our middleware includes autonomic management to detect faults, analyze causes of them, and plan semantically meaningful strategies to recover from the failure using pre-defined fault and service ontology trees. We implemented a referenced prototype, Web-service based Application Execution Environment(Wapee), as a proof-of-concept, and showed the efficiency in runtime recovery.