• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.9
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• pp.1343-1355
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• 2008

This study examined the influences of product knowledge(subject knowledge, purchase experience and information search) on perceived risks and benefits to natural dyeing product. Data were collected from a total of 213 Korean females ranging from 20 to 50 years old who know natural dyeing product through online survey. There were significant differences between(or among) groups with different levels of subject knowledge, purchase experience and information search in several types of perceived risks and benefits to natural dyeing product. Consumers with high knowledge of natural dyeing product perceived several types of risks lower than consumers with low knowledge but they perceived several types of benefits higher than consumers with low knowledge.

• Journal of Digital Convergence
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• v.12 no.6
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• pp.245-252
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• 2014

Semantic search promises to provide more accurate result than present-day keyword matching-based search by using the knowledge base represented logically. But, the ordinary users don't know well the complex formal query language and schema of the knowledge base. So, the system should interpret the meaning of user's keywords. In this paper, we describe a user query interpretation system for the semantic retrieval of multimedia contents. Our system is ontological knowledge base-driven in the sense that the interpretation process is integrated into a unified structure around a knowledge base, which is built on domain ontologies.

• The KIPS Transactions:PartD
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• v.13D no.4 s.107
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• pp.525-534
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• 2006

Ontology specifies the knowledge in a specific domain and defines the concepts of knowledge and the relationships between concepts. It is possible to provide the service based on the semantic web through the ontology. Therefore, to specify and define the knowledge in a specific domain, it is required to generate the ontology which conceptualizes the knowledge. Accordingly, to search the information of potential customers for home-delivery marketing of post office, we design the specific domain to generate the ontology based on the semantic web in this paper. And we propose how to retrieve the information, using the generated ontology. We implement the data search robot which collects the information based on the generated ontology. Also, we confirm that the ontology and the search robot perform the information retrieval exactly.

• Journal of The Korean Association of Information Education
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• v.14 no.3
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• pp.405-416
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• 2010

Knowledge search system is to find the question-answer documents for user question. Even highly qualified question-answer documents could be far different from those that a user want to find. The reason for this failure is that user frequently fails to make user's question to express his/her intension precisely. In this paper, we show our newly developed knowledge search system that recommends additional question-answer documents to include the contents that user want to find with high probability.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.5
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• pp.173-180
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• 2014

In this research, we aim to analyze how different external knowledge search strategies of small and medium enterprises affect technological innovation. In particular, since there has been little comparison between Korean small and medium firms, we investigated the differences of the two groups by employing the "Korean Innovation Survey 2010." As a result, it was found that "external search breadth", which refers to expanding the spectrum of external knowledge search due to lack of resources and capabilities inside small firms, spurred technological innovation. On the other hand, "external search depth", which implies seeking a long-term and close relationship with the subjects that provide outside knowledge for medium firms, catalyzed technological innovation. These results emphasize that we need to separately analyze technological innovation of small and medium firms, which was, in most previous studies, viewed as one group, i.e. SMEs. In addition, the results can be, from the perspective of a firm's growth, interpreted as follows. That is, it is more effective to formulate a "diversity" pursuing strategy in the "small firm" stage where little time has passed since its establishment, whilst it is more useful to apply a "focus" strategy on sophisticated knowledge in the "medium firm" stage where a firm has grown to some extent.

• Journal of the Korea Society of Computer and Information
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• v.8 no.1
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• pp.20-29
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• 2003

According as quantity of information is augmented rapidly in World Wide Web, users are investing more times finding correct information to on. Search function that a search agent is personalized according to user's preference degree or search objective to solve these problem should be offered. Therefore, a search agent accumulates experienced knowledge connected with user's past search in this research. When new query was given, search agent offered learning function of intelligence that decides category group through estimation method of similarity using this knowledge. So this paper showed that case based search can bring superior result in the correctness rate than other search method.

• Journal of Digital Convergence
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• v.10 no.10
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• pp.307-312
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• 2012

For semantic search methods to provide more accurate results than keyword-based search in a logical representation that uses a knowledge base are being studied. Than most of the user to use formal query language and schema used to interpret the meaning of a user keyword. In this paper, we propose to expand the user query for semantic search. In the proposed system, user query expansion component and a component to adjust the results to interpret user queries to take advantage of the knowledge base associated with a search term. Finally, a user query semantic interpretation, the proposed scheme to verify the experimental results of the prototype system is described.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.22 no.2
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• pp.141-160
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• 2011

This study suggested knowledge base and search engine for the libraries that have the largescaled data. For this purpose, 3 components of knowledge bases(triple ontology, concept-based knowledge base, inverted file) were constructed and 3 search engines(search engine JENA for rule-based reasoning, Concept-based search engine, keyword-based Lucene retrieval engine) were implemented to measure their performance. As a result, concept-based retrieval engine showed the best performance, followed by ontology-based Jena retrieval engine, and then by a normal keyword search engine.

• The Journal of Society for e-Business Studies
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• v.7 no.3
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• pp.75-91
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• 2002

As B2B (Business to business) develops swiftly, at home as well as in other advanced countries, plans for activating Electronic business are made and proceeded in a national viewpoint. However, it is essential task for the construction, advancement and activation of B2B framework to make an efficient search for differently built -up data from B2C and thus to look for optimal business partner suitable for his/her own business. For this, in the last Aug. of 2001, government has also referred to ebXML, the exchange model for electronic business data based on XML, as a suggestion for B2B framework. The purpose of this study is to develop search system for efficient choice of business partner and this will play an important role for data processing and competitiveness strengthening of small and medium enterprises. Meanwhile, this system is built up by using systemic characteristics registered in ebXML Registry/Repository and ‘question-expanding’ searching ways based on the particulars of business profiles for both objectiveness and maximum efficiency of search result.

• Journal of applied mathematics & informatics
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• v.10 no.1_2
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• pp.333-351
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• 2002

This paper introduces a search method based on conceptual graph. A hyperlink information is essential to construct conceptual graph in web. The information is very useful as it provides summary and further linkage to construct conceptual graph that has been provided by human. It also has a property which shows review, relation, hierarchy, generality, and visibility. Using this property, we extracted the keywords of web documents and made up of the conceptual graph among the keywords sampled from web pages. This paper extracts the keywords of web pages using anchor text one out of hyperlink information and makes hyperlink of web pages abstract as the link relation between keywords of each web page. 1 suggest this useful search method providing querying word extension or domain knowledge by conceptual graph of keywords. Domain knowledge was conceptualized knowledged as the conceptual graph. Then it is not listing web documents which is the defect of previous search system. And it gives the index of concept associating with querying word.