• Proceedings of the Korea Information Processing Society Conference
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• 2019.05a
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• pp.731-734
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• 2019

새로운 IoT 디바이스의 수가 증가되고 수집 방법 및 새롭게 재가공할 수 있는 기술의 필요성이 증가되고 있다. 이에 따라 보다 가치 있는 데이터 정보로 가공 및 활용하기 위한 개방형 플랫폼 기반의 IoT 서비스 매쉬업에 대한 연구가 필요하다. 본 논문에서는 모여진 데이터를 보다 가치 있는 데이터 정보로 가공 및 활용하기 위한 시맨틱 IoT 매쉬업 처리 기술 개발 및 이를 활용하기 위한 온톨로지를 설계하고 그에 맞는 시스템을 제안한다.

• Journal of Internet Computing and Services
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• v.13 no.3
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• pp.115-126
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• 2012

Mashups have become very popular over the last few years, and their use also varies for IT convergency services. In spite of their popularity, there are several challenging issues when combining Open APIs into mashups, First, since portal sites may have a large number of APIs available for mashups, manually searching and finding compatible APIs can be a tedious and time-consuming task. Second, none of the existing portal sites provides a way to leverage semantic techniques that have been developed to assist users in locating and integrating APIs like those seen in traditional SOAP-based web services. Third, although suitable APIs have been discovered, the integration of these APIs is required for in-depth programming knowledge. To solve these issues, we first show that existing techniques and algorithms used for finding and matching SOAP-based web services can be reused, with only minor changes. Next, we show how the characteristics of APIs can be syntactically defined and semantically described, and how to use the syntactic and semantic descriptions to aid the easy discovery and composition of Open APIs. Finally, we propose a goal-directed interactive approach for the dynamic composition of APIs, where the final mashup is gradually generated by a forward chaining of APIs. At each step, a new API is added to the composition.

• Journal of Intelligence and Information Systems
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• v.13 no.3
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• pp.1-15
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• 2007

Recently, semantic web technology, represented by ontology building, is being combined with web services technology, creating 'Semantic Web Services' as a new promising field in information retrieval research. Accordingly, many brokering and matchmaking agents are being developed and used in the field. However, literature review revealed that most models do not take QoS(Quality of Services) into consideration. In this study, a QoS-augmented matchmaking algorithm is developed based on service availability, response time, maximum transaction amount, reliability, accessibility and price as critical QoS items. A prototype for Intelligent Semantic Web Services System is developed using publicly available data. Performance test was conducted and reported at the end.

• Journal of Digital Contents Society
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• v.6 no.4
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• pp.201-208
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• 2005

In high-technology digital age that change everyday fast, Web became most familiar and essential tool to public. Since creation of web, web began from the first step web that offer simple information and contents. and now, it have developed to step offer dynamic contents that various multimedia components are combined. In future, it will develop to the next generation, intelligence style Semantic Web that Meta Communication of meaning-base is possible. In this paper, we examine about concept and characteristic of Semantic web that is a point technology in next generation. Also, we studied about example and practical use in personalized contents side that is based on Semantic Meta-Communication system. Semantic web is value industry field that has infinite possibility and has necessary of a lot of studies and development yet. Therefore in digital age, we expect this paper will help for space construction of more mature communication.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.05a
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• pp.37-39
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• 2022

기존 IoE 환경에서 수집데이터는 특정 서비스를 위한 도메인 지식과 연계되어 서비스를 제공한다. 하지만 수집되는 데이터의 유형이 다양하고, 정적인 지식베이스가 상황에 따라 동적으로 변화하는 IoE 환경에서는 기존의 지식베이스 시스템을 통하여 원활한 서비스를 제공할 수 없었다. 따라서, 본 논문에서는 IoE 환경에서 발생하는 대용량/실시간성 데이터를 시맨틱으로 처리하여 공통 도메인 지식베이스와 연계하고 기존의 지식베이스 추론 방법과 기계학습 기반 지식 임베딩 기법을 통하여 지식 증강을 유기적으로 진행하는 빅시맨틱 시스템을 제시한다. 제시한 시스템은 IoE 환경의 멀티모달(정형, 비정형) 데이터를 수집하고 반자동적으로 시맨틱 변환을 수행하여 도메인 지식베이스에 저장하고, 시맨틱 추론을 통해 지식베이스를 증강 시키며 증강된 지식베이스를 포함한 전체 지식베이스를 정형 및 반정형 사용자 쿼리를 통해 지식정보를 사용자에게 제공한다. 또한, 기계학습 기반 지식 임베딩 기법을 통해 학습·예측을 함으로써, 기존의 지식베이스를 증강하는 기능을 수행한다. 본 논문에서 제시한 시스템은 공장내의 에너지 정보를 수집하여 공정 및 설비 상태 및 운영정보를 바탕으로 실시간 제어를 통한 에너지 절감 시스템인 공장 에너지 관리 시스템의 기반 기술로 구현될 예정이다.

• Journal of the Korean Society for information Management
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• v.25 no.1
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• pp.149-171
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• 2008

Actually a diffusion of a Semantic Web application and utilization are situations insufficient extremely. Technology most important in Semantic Web application is construction of the Ontology which contents itself with characteristics of Semantic Web. Proposed a suitable a Method of Building Web Ontology for characteristics of Semantic Web and Web Ontology as we compared the existing Ontology construction and Ontology construction techniques proposed for Web Ontology construction, and we analyzed. And modeling did Ontology to bases to Description Logic and the any axiom rule that used an expression way of SWRL, and established Inference-based Web Ontology according to proposed ways. Verified performance of Ontology established through Ontology inference experiment. Also, established an Web Ontology-based Intelligence Image Retrieval System, to experiment systems for performance evaluation of established Web Ontology, and present an example of implementation of a Semantic Web application and utilization. Demonstrated excellence of a Semantic Web application to be based on Ontology through inference experiment of an experiment system.

• Journal of Information Management
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• v.37 no.2
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• pp.109-136
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• 2006

The development of Semantic Web basically requires knowledge which is induced by the formalization and semantization of information, and thus ontology should be introduced as a knowledgization tool. URI(Uniform Resource Identifier) is an indispensible scheme to uniquely indicate individuals on ontology. However, it is difficult to find the use cases of identifiers or URIs in real data sets including science & technology publications. This paper describes the method to construct, manage, and serve reference information based on URI which is a crucial component on establishing national R&D reference information ontology. We expect the reference information which was acquired from about 7,000 proceeding papers would be adopted to Semantic Web applications such as researcher network analysis and outcome statistics.

• The Journal of the Korea Contents Association
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• v.12 no.11
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• pp.502-510
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• 2012

As defense science and technology are developing, smart weapons are being developed continually. The collection and analysis of the future strategic weapon information from all over the world have become a greater priority because information sharing became active. So, a system to manage and analyze heterogeneous defense intelligence is required. Semantic Web is the next generation knowledge information management technology for integrating, searching and navigating heterogeneous knowledge resource. Recently, Semantic Web is wildly being used in intelligent information management system. Semantic Web supports the analysis with the high reliability because it supports the simple keyword search as well as the semantic based information retrieval. In this paper, we propose the semantic web based multi-dimensional information analysis system on the national defense weapons that constructs ontology for various weapons information such as weapon specifications, nations, manufacturers and technologies and searches and analyses the specific weapon based on ontology. The proposed system supports the semantic search and multi-dimensional information analysis based on the relations between weapon specifications. Also, our system improves the efficiency on acquiring smart weapon information because it is developed with ontology based on military experts' knowledge and various web documents related with various weapons and intelligent search service.

• The Journal of Korean Institute of Next Generation Computing
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• v.14 no.5
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• pp.19-30
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• 2018

Visual information understanding is known as one of the most difficult and challenging problems in the realization of machine intelligence. This paper proposes deriving visual verb and construction of ActionNet database as a video database for video semantic understanding. Even though development AI (artificial intelligence) algorithms have contributed to the large part of modern advances in AI technologies, huge amount of database for algorithm development and test plays a great role as well. As the performance of object recognition algorithms in still images are surpassing human's ability, research interests shifting to semantic understanding of video contents. This paper proposes candidates of visual verb requiring in the construction of ActionNet as a learning and test database for video understanding. In order to this, we first investigate verb taxonomy in linguistics, and then propose candidates of visual verb from video description database and frequency of verbs. Based on the derived visual verb candidates, we have defined and constructed ActionNet schema and database. According to expanding usability of ActionNet database on open environment, we expect to contribute in the development of video understanding technologies.

• The Journal of Society for e-Business Studies
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• v.12 no.3
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• pp.211-234
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• 2007

In e-business, XML is a major format of data and it is essential to efficiently process queries against XML data. XML query caching has received much attention for query performance improvement. In employing XML query caching, some efficient technique of cache replacement is required. The previous techniques considered as a replacement unit either the whole query result or the path in the query result. The former is simple to employ but it is not efficient whereas the latter is more efficient and yet the size difference among the potential victims is large, and thus, efficiency of caching would be limited. In this paper, we propose a new technique where the element in the query result is are placement unit to overcome the limitations of the previous techniques. The proposed technique could enhance the cache efficiency to a great extent because it would not pick a victim whose size is too large to store a new cached item, the variance in the size of victims would be small, and the unused space of the cache storage would be small. A technique of XML semantic cache replacement is presented which is based on the replacement function that takes into account cache hit ratio, last access time, fetch time, size of XML semantic region, size of element in XML semantic region, etc. We implemented a prototype XML semantic cache system that employs the proposed technique, and conducted a detailed set of experiments over a LAN environment. The experimental results showed that our proposed technique outperformed the previous ones.