• 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.

• Proceedings of the Korean Information Science Society Conference
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• 2004.10b
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• pp.43-45
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• 2004

웹 서비스의 등록, 검색, 조합, 실행을 자동적으로 수행할 수 있도록 웹 서비스에 시맨틱 웹 기술을 적용시킨 것이 시맨틱 웹 서비스(Semantic Web Services)이다. 시맨틱 웹 서비스는 원하는 서비스를 찾으려는 사용자의 노력을 줄이기 위해 기계가 이해할 수 있는 정보를 서비스에 추가시킴으로써 정확하게 원하는 서비스를 찾을 수 있게 해준다. 수많은 서비스들 중 같은 역할을 하는 서비스들이 있을 수가 있다. 그 중 하나의 서비스만을 선택해야 할 때 서비스의 기능이 아닌 질적인 측면에서 QoS(Quality of Service)를 고려하면 최선의 서비스를 선택을 하는데 도움을 줄 수 있다. 따라서 시맨틱 웹 서비스의 검색과 조합의 측면에서 매치메이킹(matchmaking)에 대한 연구의 하나로써 QoS의 매칭에 대한 연구를 수행하게 되었다. 기존의 QoS 매칭과 관련된 연구에서 QoS의 유사도를 계산하는 방법은 QoS 요소의 값의 특성을 반영하지 않는다는 것과 QoS 유사도의 순위가 놓더라도 좋은 서비스라는 것을 의미하지 않는다는 두 가지 문제점을 발견하였다. 따라서 본 논문에서는 기존 연구의 문제점을 해결할 수 있는 방법을 제시하고자 한다. 먼저 기존의 웹 서비스 관련 연구에서 논의된 여러 QoS 모델을 수렴하여 QoS 모델의 요소들을 결정하였다. 그리고 기존 연구의 두 가지 문제점을 해결하기 위해 각 QoS 요소의 표준편차를 이용한 표준 값을 구하여 QoS 요소의 값의 특성을 반영하였다. 또한 매칭 결과 순위가 높은 것이 사용자에게 더 선호되는 좋은 서비스라는 것을 보장하는 메커니즘을 제안하였다.

• The KIPS Transactions:PartD
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• v.13D no.5 s.108
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• pp.725-730
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• 2006

Recently Web services have become a key technology which is indispensable for e-business. Due to its ability to provide the desired information or service regardless of time and place, integrating current application systems within a single business or between multiple businesses with standardized technologies are realized using the open network and Internet. However, the current Web Services Retrieval Systems, based on text oriented search are incapable of providing reliable search results by perceiving the similarity or interrelation between the various terms. Currently there are no web services retrieval models containing such semantic web functions. This research work is purported for solving such problems by designing and implementing an extended Semantic Web Services Retrieval Model that is capable of searching for general web documents, UDDI and semantic web documents. Execution result is proposed in this paper and its efficiency and accuracy are verified through it.

• KIPS Transactions on Computer and Communication Systems
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• v.6 no.6
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• pp.281-288
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• 2017

In Smart-cities, various types of integrated services must be linked to provide services to applications. Therefore, flexibility must be ensured between services so that various services can be efficiently provided. In order to secure the flexibility among services, it is very important to have a function to dynamically discover and invoke a desired service by searching for a semantic service by reflecting a recognized context through real-time context-aware in smart-cities. To date, quite a number of semantic service discovery techniques have been developed. However, they have not been verified as suitable for use in the smart-city domain. In this study, we tried to verify the existing ones to use a suitable one. We tested most of existing semantic service discovery techniques, but we found that none of them is suitable to our research. Therefore, we developed our own semantic service discovery technique. This paper introduces our work and presents the performance evaluation results that demonstrate that our developed works well and show good performance. For the performance evaluation, the experimental system was actually constructed and the real performance was measured. In the experiment, we implemented the semantic service discovery scenario that dynamically searches and calls the services needed to provide fire accident management services in smart cities.