• Journal of the Korean Society for Library and Information Science
• /
• v.43 no.2
• /
• pp.277-298
• /
• 2009

In order to utilize the operational metadata retrieval system which is based on the semantic association between the research outcomes of the Korean Research Memory (KRM), the systematic integration of the metadata of the research outcomes with the term data registry (DR) was required. This study presents the ontology which can be used effectively to support the KRM. It includes the concept modeling of the knowledge structure of research outcomes, information retrieval service modeling that applies an analytical approach to researchers' needs in conjunction with the term DR, and also some technical and administrative suggestions for future system management.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.9 no.4
• /
• pp.367-374
• /
• 1999

This paper suggests an integrated method based on concept ascension and attribute reduction for efficient induction of decision rules from a large database. We study an automatic scheme to generate concept trees by a clustering technique, a method for generalizing databases by the concept ascension technique, an optimal reduction method by means of attributes reduction using the sibmificance of attributes, and an efficient way of reduction of attribute values applying the discernible matrix and functions. The method can be used for the decision making tasks such as an investment planning or price evaluation, the construction of knowledge bases for diagnosis of defects or medical diagnosis, data analysis such as marketing or experimental data, information retrieval for high level inquiries, and so on.

• Journal of Korea Multimedia Society
• /
• v.8 no.5
• /
• pp.596-605
• /
• 2005

Conventional XML query methods such as simple keyword match or structural query expansion are not sufficient to catch the underlying information in the documents. Moreover, these methods inefficiently try to query all the documents. This paper proposes document tittering and query expansion methods that are based on ontology. Using ontology, we construct a universal DTD that can filter off unnecessary documents. Then, query expansion method is developed through the analysis of concept hierarchy and association among concepts. The proposed methods are applied on variety of sample XML documents to test the effectiveness.

• Journal of the Korean Society for Library and Information Science
• /
• v.45 no.3
• /
• pp.235-257
• /
• 2011

In this study, we proposed the FRAD concept model of authority data schema for author, organization and journal titles included in the academic papers. Academic information includes author names, affiliations, publishers, journals and conferences. They are used as access points, and there are multiple relationships among these entities. It is expected that the use of authority data for academic information based on FRAD conceptual model could improve more accurate retrieval of information, systematic management of academic information, and various forms of knowledge representation. In this study, our entity-relationship authority data will be linked to the document, and included the several properties and relationship to identify the object.

• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.25 no.2
• /
• pp.41-57
• /
• 2014

The objectives of this study is to propose the direction of developing the reading activities of the individuals in the future society, and to develop the "model of Web-based reading strategy", based on the understanding of the information literacy reading strategies, and the characteristic and concept of web 3.0., for adapting to the changes in the media environment. In this study, 6 reading strategy models based on the web platform were developed. These 6 strategy models are Metacognitive Strategy, Information Retrieval Model, Personalization Strategy, Reading Strategy, Writing Strategy and Interpreting Strategy.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2010.04a
• /
• pp.451-454
• /
• 2010

정보검색 분야에서 어휘 불일치 문제를 해결하기 위해 질의에서의 어휘 사이의 관계를 반영하는 것은 필수적인 요구사항이 되었다. 본 논문에서는 문장-문장 번역쌍을 이용하여 어휘 번역확률을 계산하였고, 어휘관계 정보를 반영하는 번역기반 언어모델에 어휘와 질의 개념과의 연관 정도를 반영한 모델을 제안한다. 뉴스 컬렉션 집합인 TREC AP 컬렉션에 대한 비교실험을 하였다. 실험결과에서 언어모델보다 어휘 관계를 반영한 번역기반 언어모델의 성능이 향상되었고 어휘의 질의개념 연관도를 반영한 모델이 번역기반 언어모델보다 성능이 향상됨을 보였다.

• The KIPS Transactions:PartB
• /
• v.11B no.4
• /
• pp.509-516
• /
• 2004

Semantic interpretation of image is incomplete without some mechanism for understanding semantic content that is not directly visible. For this reason, human assisted content-annotation through natural language is an attachment of textual description to image. However, keyword-based retrieval is in the level of syntactic pattern matching. In other words, dissimilarity computation among terms is usually done by using string matching not concept matching. In this paper, we propose a method for computerized semantic similarity calculation In WordNet space. We consider the edge, depth, link type and density as well as existence of common ancestors. Also, we have introduced method that applied similarity measurement on semantic image retrieval. To combine wi#h the low level features, we use the spatial color distribution model. When tested on a image set of Microsoft's 'Design Gallery Line', proposed method outperforms other approach.

• Journal of the Korean Society for information Management
• /
• v.18 no.3
• /
• pp.29-40
• /
• 2001

In this paper, we suggest a query optimization algorithm to select the optimal processing method of an extended boolean query on inverted files. There can be a lot of methods for processing an extended boolean query according to the processing sequence oh the keywords con tamed in the query, In this sense, the problem of optimizing an extended boolean query it essentially that of optimizing the keyword sequence in the query. In this paper, we show that the problem is basically analogous to the problem of finding the optimal join order in database query optimization, and apply the ideas in the area to the problem solving. We establish the cost model for processing an extended boolean query and develop an algorithm to filled the optimal keyword-processing sequence based on the concept of keyword rank using the keyword selectivity and the access costs of inverted file. We prove that the method selected by the optimization algorithm is really optimum, and show, through experiments, that the optimal method is superior to the others in performance We believe that the suggested optimization algorithm will contribute to the significant enhancement of the information retrieval performance.

• Journal of the Korea Society of Computer and Information
• /
• v.14 no.11
• /
• pp.21-30
• /
• 2009

Semantic web uses ontology languages such as RDF, RDFS, and OWL to define the metadata on the web. There have been many researching efforts in the semantic web technologies based on an agent for extracting triple and relation about concept of ontology. But the extraction of relation and triple about the concept of ontology based on an agent ends up writing a limited query statement as characteristics of an agent. As for this, there is the less of flexibility when extracting triple and relation about the other concept of ontology. We are need a query tool for flexible information retrieval of ontology that is can access the standard ontology and can be used standard query language. In this paper, we propose a SPARQL query tool that is can access the OWL ontology via HTTP protocol and it can be used to make a query. Query result can be output to the soap message. These operations can be support the web service.

• Journal of the Korean Society for information Management
• /
• v.25 no.4
• /
• pp.43-66
• /
• 2008

Currently be proceeded a lot of researchers for 'user information demand description' for interface of an information retrieval system or Web search engines, but user information demand description for a natural language form is a difficult situation. These reasons are as they cannot provide the semantic similarity that an information retrieval model can be completely satisfied with variety regarding an information demand expression and semantic relevance for user information description. Therefore, this study using the description logic that is a knowledge representation base of OWL and a vector model-based weight between concept, and to be able to satisfy variety regarding an information demand expression and semantic relevance proposes a decision way for perfect assistances of user information demand description. The experiment results by proposed method, semantic similarity of a polyseme and a synonym showed with excellent performance in decision.