• Proceedings of the Korean Information Science Society Conference
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• 2004.10b
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• pp.103-105
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• 2004

최근 바이오 인포매틱스 분야의 발전에 따라 방대한 양의 유전체 데이터에 대한 연구가 진행되고 있으며, 이러한 데이터를 효율적으로 다루기 위해 다양한 형태의 파일과 데이터베이스들이 사용되고 있다. 하지만 표준화의 미비로 인하여 데이터의 관리 및 변환에 어려움이 많다. 따라서 이 논문에서는 시퀀싱을 통해 생성된 유전체 및 단백질 서열 데이터의 통합 저장 관리를 위해 서열 정보의 편집, 저장 및 검색과 서열 파일 포맷 변환을 수행하는 서열 정보관리 시스템의 구현을 목적으로 한다. 이러한 요구사항을 만족시키기 위해 바이오 인포메틱스 데이터를 다루기 위한 표준으로 BSML(Bioinformatic Sequence Markup Language)을 채택하고 이질적 플랫파일들은 DTD를 기반으로 BSML 스키마로 통합 및 저장한다. 그리고 객체 관계 데이터베이스 특성을 적용하여 XML 문서를 보다 쉽게 저장 관리하고 범위 또는 구조적 질의에 효율적인 XPath 질의 처리를 위한 시스템을 개발하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.10
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• pp.4987-5005
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• 2017

This paper introduces a new method to solve Similarity Recognition for Cloth Products, which is based on Fuzzy logic and Particle swarm optimization algorithm. For convenience, it is called the SRCPFP method hereafter. In this paper, the SRCPFP method combines Fuzzy Logic (FL) and Particle Swarm Optimization (PSO) algorithm to solve similarity recognition for cloth products. First, it establishes three features, length, thickness, and temperature resistance, respectively, for each cloth product. Subsequently, these three features are engaged to construct a Fuzzy Inference System (FIS) which can find out the similarity between a query cloth and each sampling cloth in the cloth database D. At the same time, the FIS integrated with the PSO algorithm can effectively search for near optimal parameters of membership functions in eight fuzzy rules of the FIS for the above similarities. Finally, experimental results represent that the SRCPFP method can realize a satisfying recognition performance and outperform other well-known methods for similarity recognition under considerations here.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2005.09a
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• pp.383-387
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• 2005

One of the most important issues in post-genome era is identifying functions of genes and understanding the interaction among them. Such interactions from complex biochemical pathways, which are very useful to understand the organism system. We present an integrated biochemical pathway database system with a set of software tools for reconstruction, visualization, and simulation of the pathways from the database. The novel features of the presented system include: (a) automatic integration of the heterogeneous biochemical pathway databases, (b) gene ontology for high quality of database in the integration and query (c) various biochemical simulations on the pathway database, (d) dynamic pathway reconstruction for the gene list or sequence data, (e) graphical tools which enable users to view the reconstructed pathways in a dynamic form, (f) importing/exporting SBML documents, a data exchange standard for systems biology.

• Proceedings of the Korean Information Science Society Conference
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• 2006.10c
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• pp.214-217
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• 2006

XML 문서의 검색을 위한 질의 언어인 XQuery는 다양한 데이터 소스로부터 가져온 고유한 구조를 가진 질의 결과로 구성할 수 있도록 설계되어 XML질의 언어의 표준이 되었다. XQuery를 이용해 특별히, 분산 환경에서 다중 XML문서 를 대상으로 하는 통합 질의의 경우, 질의 처리 계획을 결정하는 것은 처리 효율과 직결된다. 따라서 질의 처리 계획을 결정하는 요소 중 하나인 조인 처리 방법의 연구는 중요하다. 그러나 통합 질의에서 조인구조를 기준으로 단일 XML문서에 대한 질의 처리방법을 결정하는 것은 쉽지 않다. 본 논문에서는 분산환경에서 다중 XML문서를 대상으로 하는 조인을 포함한 다양한 통합 질의를 대상으로 실험을 통해 병렬처리 방법과 순차처리 방법 그리고 두 가지 처리방법을 조합한 하이브리드 방법을 적용하여 처리 시간을 비교 분석하고, 다중 문서에 대한 효율적인 조인방법과 순서를 모색한다.

• Proceedings of the KSRS Conference
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• 2004.10a
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• pp.367-370
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• 2004

We model a moving object as a sizable physical entity equipped with GPS, wireless communication capability, and a computer such as a PDA and mobile phone. Furthermore, we have observed that a real trajectory of a moving object is the result of interactions among moving objects in the system yielding Multi-points instead of a line segment. In this paper, the new types and operations are integrated seamlessly into the moving object framework to achieve a relatively simple, consistent and powerful overall model and query language for constrained and unconstrained movement.

• Spatial Information Research
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• v.21 no.1
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• pp.1-13
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• 2013

This paper describes a GIS framework for geo-semantic information retrieval in mobile computing environments. We built geographic ontologies of POI (point of interest) and weather information for use in the combination of semantic, spatial, and temporal functions in a fully integrated database. We also implemented a geo-semantic app for Android-based smartphones that can extract more appropriate POIs in terms of user contexts and geographic ontologies and can visualize the POIs using Google Maps API (application programming interface). The feasibility tests showed our geo-semantic app can provide pertinent POI information according to mobile user contexts such as location, time, schedule, and weather. We can discover a baking CVS (convenience store) in the test of bakery search and can find out a drive-in theater for a not rainy day, which are good examples of the geo-semantic query using semantic, spatial, and temporal functions. As future work, we should need ontology-based inference systems and the LOD (linked open data) of various ontologies for more advanced sharing of geographic knowledge.

• Journal of the Korea Society of Computer and Information
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• v.9 no.2
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• pp.57-62
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• 2004

In these days, application systems for processing information using database is increasing. Enterprises holding a lot of data do not possess needed data but instead include unrelated, independent and individual data. As a result, it only contains disparate data. Disparate data is ambiguous and it does not support current integrated information. In response to the above problems, data warehouse may provide a solution. Building a data warehouse needs a systematic design because of its complexity. This paper describes an efficient design methodology using visual environment for data warehouse to cope with the requirements of end users. Also, the system is able to process existential SQL query.

• Asia pacific journal of information systems
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• v.16 no.4
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• pp.151-178
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• 2006

The objective of this research is to develop a formal framework and methodology to facilitate real-time data integration, thus enabling semantic interoperability among distributed and heterogeneous information systems. The proposed approach is based on the concepts of "ontology" and "semantic mediators." An ontology is developed and used to capture the intension (including structure, integrity rules and meta-properties) of the database schema. We also develop the agent communication protocol for semantic reconciliation, which is based on the theory of speech acts and agent communication language. This protocol is used by a set of semantic mediators, which automatically detect and resolve various semantic conflicts at the data- and schema-levels by referring to the ontology. A mediation-based query processing technique is developed to provide uniform and integrated access to the multiple heterogeneous information sources. Prototype tools are being implemented to provide proof of concept for this work.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.32B no.12
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• pp.1687-1696
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• 1995

An integrated fault diagnosis system for heterogeneous manufacturing environments is developed. This system has a contrast with existing diagnosis systems in the respect that they are mostly for diagnosing faults on individual machines. In addition to the usual (e.g., audio, electrical) diagnostic signals, the characteristics of products from the machines are considered as the unifying diagnostic parameters among heterogeneous machines in the diagnosis. The system is composed of a knowledge representation scheme and a diagnostic query processing mechanism. Its knowledge representation scheme allows the diagnostic knowledges from heterogeneous unit diagnostic systems to be uniformly expressed in terms of the causal relations among relevant data items. It is flexible in the sense that causes for one relation can be effects for another may be reflected on our knowledge representation scheme. The diagnosis mechanism is based on a probabilistic inferencing method. This probablistic diagnosis mechanism provides more general diagnosis than existing ones in that it accommodates multiple causes and takes complication among causes into account. These scheme and mechanism are applied to a typical example to demonstrate how our system works.

• Proceedings of the CALSEC Conference
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• 2001.08a
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• pp.253-258
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• 2001

In electronic commerce, a registry is an integrated software system that supports access to registry metadata in order to locate and retrieve registered objects it can be discovered and used by a client or customer. In general, a registry consists of information model and its service. A registry implementation supports a registry services interface that can be used by abstract agents to assist a human or some other software process to register new objects, provide appropriate metadata for those objects, browse or query registry content, filter out irrelevant references, and retrieve the content of selected items. We show a layered registry architecture that is flexible enough to support the required specialization of many different kinds of registry specification of other sponsoring groups. This architecture could easily adopt different registry specification. This paper suggests a prototype implementation model which supports ebXML Registry standard based on this layered architecture.