• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.1
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• pp.213-231
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• 2014

Existing image search systems allow users to search images by keywords, or by example images through content-based image retrieval (CBIR). On the other hand, users might learn more relevant textual information about an image from its text captions or surrounding contexts within documents or Web pages. Without such contexts, it's difficult to extract semantic description directly from the image content. In this paper, we propose an annotation watermarking system for users to embed text descriptions, and retrieve more relevant textual information from similar images. First, tags associated with an image are converted by two-dimensional code and embedded into the image by discrete wavelet transform (DWT). Next, for images without annotations, similar images can be obtained by CBIR techniques and embedded annotations can be extracted. Specifically, we use global features such as color ratios and dominant sub-image colors for preliminary filtering. Then, local features such as Scale-Invariant Feature Transform (SIFT) descriptors are extracted for similarity matching. This design can achieve good effectiveness with reasonable processing time in practical systems. Our experimental results showed good accuracy in retrieving similar images and extracting relevant tags from similar images.

• Journal of KIISE
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• v.44 no.10
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• pp.1045-1061
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• 2017

This paper suggests a method to expand linkages in a Linked Open Data(LOD) cloud that is a practical consequence of a semantic web. LOD cloud, contrary to the first expectation, has not been used actively because of the lack of linkages. Current method for establishing links by applying to explicit links and attaching the links to LODs have restrictions on reflecting target LODs' changes in a timely manner and maintaining them periodically. Instead of attaching them, this paper suggests that each LOD should prepare a link policy and publish it together with the LOD. The link policy specifies target LODs, predicate pairs, and similarity degrees to decide on the establishment of links. We have implemented a system that performs in-depth searching through LODs using their link policies. We have published APIs of the system to Github. Results of the experiment on the in-depth searching system with similarity degrees of 1.0 ~ 0.8 and depth level of 4 provides searching results that include 91% ~ 98% of the trustworthy links and about 170% of triples expanded.

• International Journal of Advanced Culture Technology
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• v.8 no.3
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• pp.223-230
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• 2020

Companies have made an investment of cost and time to optimize processing of a new business model in a cloud environment, applying collaboration technology utilizing business processes in a social network. The collaborative processing method changed from traditional BPM to the cloud and a mobile cloud environment. We proposed a collaborative system for operating processes in social networks using MOXMDR-DAI+ (eXtended Metadata Registry-Data Access & Integration based multimedia ontology). The system operating cloud-based collaborative processes in application of MOXMDR-DAI+, which was suitable for data interoperation. MOXMDR-DAI+ applied to this system was an agent effectively supporting access and integration between multimedia content metadata schema and instance, which were necessary for data interoperation, of individual local system in the cloud environment, operating collaborative processes in the social network. In operating the social network-based collaborative processes, there occurred heterogeneousness such as schema structure and semantic collision due to queries in the processes and unit conversion between instances. It aimed to solve the occurrence of heterogeneousness in the process of metadata mapping using MOXMDR-DAI+ in the system. The system proposed in this study can visualize business processes. And it makes it easier to operate the collaboration process through mobile support. Real-time status monitoring of the operation process is possible through the dashboard, and it is possible to perform a collaborative process through expert search using a community in a social network environment.

• Proceedings of the Korea Information Processing Society Conference
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• 2006.05a
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• pp.165-168
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• 2006

본 논문에서는 시맨틱 웹을 위한 마크업 언어인 RDF와 MPEG-7 표준을 따르는 XML 문서를 이용하여 구축된 비디오 검색 시스템에 대한 연구결과를 기술한다. 본 논문에서 제안된 시스템은 RDF를 통해 비디오 파일에 대한 정보를 웹 자원의 관점으로 정의/저장한다. 또한 비디오에 대한 내용기반 검색을 위해 비디오를 구성하는 중요 프레임들을 추출하여 그림 파일로 저장하는 한편 각 프레임에 대한 정보를 MPEG-7 표준에 따라 XML 형태로 저장한다. 이렇게 구축된 정보들을 바탕으로 비디오 검색 엔진은 사용자의 질의요청을 수행한다. 본 논문에서 제안하는 비디오 검색 시스템은 비디오에 대한 다양한 검색은 물론 비디오에 대한 내용기반 검색이 가능한 장점을 가진다.

• Proceedings of the Korean Information Science Society Conference
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• 2006.10b
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• pp.383-387
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• 2006

본 논문은 시맨틱 웹의 온톨로지 기술을 이용하여 온톨로지 기반 시맨틱 검색 시스템과 서비스 시스템에 대한 구현을 위하여 문헌 정보를 대상으로 온톨로지를 OWL로 구성하였다. 여기에서 제안한 시스템은 효율적인 관리가 가능하도록 웹(Web) 환경에서 구현하였으며, 데이터의 의미와 구문 및 구조의 통일을 위해 메타데이터의 상호운용성을 고려하며 기술언어로는 XML를 사용한다. 웹 문서에서 특정정보를 추출하고 RDF 메타데이터를 생성하며, 웹 문서의 내용을 정확하게 분류하기 위해 온톨로지(Ontology)를 기반으로 한 지식검색 시스템의 시맨틱 서비스시스템을 제안한다.

• Proceedings of the Korean Information Science Society Conference
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• 2004.10a
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• pp.157-159
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• 2004

시맨틱 웹 기술을 활용한 시맨틱 검색은 문서의 의미를 온톨로지의 메타데이터로 생성하여 이를 바탕으로 검색을 수행하게 된다. 이와같은 온톨로지 기반의 시맨틱 검색은 논리를 바탕으로 추론을 적용할 수 있다. 본 논문에서는 온톨로지 기반의 추론을 적용한 시맨틱 검색 시스템을 언급하고 시맨틱 검색 시스템에서의 성능향상을 위해 추론엔진의 작업메모리 영역의 부하를 줄여 기존의 시스템보다 빠른 성능의 시맨틱 검색 시스템을 제안한다. 본 논문에서 시맨틱 검색 시스템의 성능향상을 위한 방법론으로는 다음과 같다 첫째, 추론엔진이 검색 도메인내의 전체 메타데이터를 가지고 추론을 수행하지 않고 메타데이터의 온톨로지부분 만을 사용하여 사용자가 원하는 질의문을 추론하여 검색에 사용하게 한다. 둘째, 시맨틱 검색 방법에서 Dirtectly 매칭 검색과 시맨틱 추론검색을 병행하여 수행하게 한다. 이를 위해 본 논문에서는 메타데이터의 온톨로지부분과 인스턴스부분을 분리하는 단계와 분리된 온톨로지부분에서 사용자가 원하는 질의를 추론하는 단계, 추론된 질의문을 검색시스템에서 매칭하는 단계를 수행하게 된다. 이러한 방법은 메타데이터의 양이 증가하여도 온톨로지부분은 증가하지 않으므로 추론엔진에서 전 방향 추론단계의 수행시간을 단축과 추론엔진의 호출 횟수를 단축시키는 결과를 가져온다.

• The Journal of Information Technology
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• v.1 no.1
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• pp.13-26
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• 1998

In general Information retrieval systems, improper keywords are often extracted and different search results are offered comparing to user's aim bacause the systems use only term frequency informations for selecting keywords and don't consider their meanings. It represents that improving precision is limited without considering semantics of keywords because recall ratio and precision have inverse proportion relation. In this paper, a system which is able to improve precision without decreasing recall ratio is designed and implemented, as client user module is introduced which can send feedbacks to server with user's intention. For this purpose, keywords are selected using relative term frequency and inverse document frequency and co-occurrence words are extracted from original documents. Then, the keywords are clustered by their semantics using calculated mutual informations. In this paper, the system can reject inappropriate documents using segmented semantic informations according to feedbacks from client user module. Consequently precision of the system is improved without decreasing recall ratio.

• The KIPS Transactions:PartD
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• v.14D no.6
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• pp.573-584
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• 2007

As multimedia information recently increases fast, various types of retrieval of multimedia data are becoming issues of great importance. For the efficient multimedia data processing, semantics based retrieval techniques are required that can extract the meaning contents of multimedia data. Existing retrieval methods of multimedia data are annotation-based retrieval, feature-based retrieval and annotation and feature integration based retrieval. These systems take annotator a lot of efforts and time and we should perform complicated calculation for feature extraction. In addition. created data have shortcomings that we should go through static search that do not change. Also, user-friendly and semantic searching techniques are not supported. This paper proposes to develop S-MARS(Semantic Metadata-based Multimedia Annotation and Retrieval System) which can represent and extract multimedia data efficiently using MPEG-7. The system provides a graphical user interface for annotating, searching, and browsing multimedia data. It is implemented on the basis of the semantic metadata model to represent multimedia information. The semantic metadata about multimedia data is organized on the basis of multimedia description schema using XML schema that basically comply with the MPEG-7 standard. In conclusion. the proposed scheme can be easily implemented on any multimedia platforms supporting XML technology. It can be utilized to enable efficient semantic metadata sharing between systems, and it will contribute to improving the retrieval correctness and the user's satisfaction on embedding based multimedia retrieval algorithm method.

• The Journal of Society for e-Business Studies
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• v.8 no.2
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• pp.63-76
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• 2003

The fundamental technology to the b2b e-commerce framework is Registry. Although Registries have developed, it is yet difficult to apply in actual e-business . That is, the e-business information was stored in physically and/or logically distributed and heterogeneous Registries. And Registry uses the keyword-based search to discovery the information stored. But, the keyword-based search technology can't provide the discovery the business information necessary for parties and trading partners. As spreading the understand of this problem, it requires the technologies for the integration of distributed and various Registries and the systematic definition and intelligent discovery of the e-business information. In this paper we propose the architecture of intelligent and integrated e-business registry system for solving these problems . This system composed of the Registry Integration Query Manager for integrating various registries and the Intelligent Registry Agent providing the systematic organization and discovery of e-business information.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.678-680
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• 2013

Recently, A computing environment are provided that can easily be used for services based on the cloud environment. Among them, SaaS(SoftWare as a Service) is that it provides cloud users to be available by placing the cloud systems on the Internet software. But, the problem with this, problems is that user can not be utilized to not find a service registered in the cloud system. The thing to make clear the meaning and relationship between services using the ontology to solve these problems, It must be supported to be used to find the exact service the user wants. Ontology for service discovery can be used to help to find services by guessing relevance by using the function or service names entered by the user. We provide how to configure the service ontology and the search system of services using ontology.