• Proceedings of the IEEK Conference
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• 2002.07a
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• pp.575-578
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• 2002

In this study, it enabled to perform keyword search on Geographic Information Systems (GIS) more flexibly by taking in the concept of geographic thesaurus in order to make the keyword search that was more efficiently. The search procedure depends on the history when user information is included. This study provides a system for keyword searching as well as check the validity of the system. Furthermore, by establishing this reference method, the search that took in the query of a user flexibly is attained rather than a chosen type reference system.

• Journal of the Korea Society of Computer and Information
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• v.3 no.1
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• pp.35-46
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• 1998

In the Information Retrieval System. the relevance of retrieved items is determined by the judgement of the user and thus the evaluation of the system efficiency counts on the cognizance of users to some extent. The relevance feedback mechanism provides a device allowing iterative searches during which the query can be modified and refined based on user input from the relevant documents. The feedback system are generally reported to outperform non-feedback systems. The procedures and algorithms to implement the feedback mechanism are surveyed in this paper.

• Journal of Korean Academy of Nursing Administration
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• v.7 no.3
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• pp.425-437
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• 2001

This reserch was to develop database software in order to handle a lot of clinical nursing data with nursing diagnoses, related factors, defining characteristics, nursing interventions, nursing activities and nursing outcomes. MS Access2000 and SQL was selected to use a general purpose database logic with an efficiency. MS Visual Basic 6.0 was used to construct the circumstance of Graphic User Interface. The Linkage Database of abdominal surgery patients was constructed from the clinical data and questionnaire. This database system could add related factors, defining characteristics, nursing activities in the database and analyze the statistical results through Access query. In the final stage, end-users satisfaction analysis using 5 points Likert scale was dong with the response of using the database system. The accuracy/trustworthiness of the database system was verified with the highest average scores as 4.42 and also, the efficiency as 4.21, user friendly function as 4.1.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2007.02a
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• pp.116-119
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• 2007

In a keyword search scheme a user stores encrypted data on an untrusted server and gives a database manager a capability for a keyword which enables a database manager to find encrypted data containing the keyword without revealing the keyword to the database manager. Conjunctive keyword search scheme enables a user to obtain data containing all of several keywords through only one query. One of the security requirements of conjunctive keyword search schemes is that a malicious adversary should not be able to generate new valid capabilities from the observed capabilities. In U:5 paper we show that conjunctive keyword search schemes are not secure. In particular, given two capabilities corresponding two sets of keywords, an adversary is able to generate a new capability corresponding to the dierence set of two keywords sets.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2000.04a
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• pp.240-243
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• 2000

An apparel products retrieval system was proposed in which users can refer to products using Kansei evaluation values. The system adopts relevance feedback using history of the retrieval to learn the tendency of user evaluation. The system is based on a vector space retrieval model using products images expression as semantic scales. The system makes a query from user inputting information and retrieves closest products from the database. Revising algorithms of the difference method. linear multiple regression performed to investigate the effectiveness and criteria of the search. As a result of evaluation of the accuracy, it was found that the linear multiple regression and the neural network models are effective for the retrieval considering the individual Kansei.

• Journal of Computing Science and Engineering
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• v.6 no.4
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• pp.243-256
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• 2012

In this paper we present a framework for a novel kind of context-aware preference query composition whereby queries for the Preference SQL system are created. We choose a commercial e-business platform for outdoor activities as a use case and develop a context model for this domain within our framework. The suggested model considers explicit user input, domain-specific knowledge, contextual knowledge and location-based sensor data in a comprehensive approach. Aside from the theoretical background of preferences, the optimization of preference queries and our novel generator based model we give special attention to the aspects of the implementation and the practical experiences. We provide a sketch of the implementation and summarize our user studies which have been done in a joint project with an industrial partner.

• Journal of the Korean Professional Engineers Association
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• v.30 no.6
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• pp.59-67
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• 1997

As Information society evolves, there is a growing need that substitutes agents for users to do the given Jobs in distributed computing environments. Agents can retrieve and browse the diverse information via Internet, as the users request, and can deal with the complicated routine jobs on behalf of users with timeliness and efficiency. Especially, mobile agent can support the paradigm for distributed application programs in Internet environments. This is suitable to jump-to-jump model without any hesitations because agent moves. Agents can be applied to various applications, but we restrict it to market information retrieval in this paper. On recognizing a query about merchandise information by an user, agent by itself retrieves the corresponding information by navigating the Internet and informs the result to the user. In this paper, we review the mobile agent configuration to do this kind of work, propose the system architecture based on this review. By using this system, users can be free from complicated routine jobs and pursue his/her wishes to promote ones welfare.

• Journal of Korean Library and Information Science Society
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• v.22
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• pp.373-401
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• 1995

This study aims to improve subject retrieval by constructing the hypertext-based thesaurus to provide a browsing interface to a thesaurus. The experimental system used IBM 486 DXII as a hardware, C++ language as a programming language and Hangul Window 3.1 version as a user interface. The results of this study are summarized as follows : (1) The experimental hypertext-based thesaurus can be used as an efficient search aid for query formulation for the retrieval of bibliographic information. (2) The initial access to the hypertext-based thesaurus is via a keyword index. This index is consist of all the words used to form thesaurus terms, whether descriptors or nondescriptors. (3) Hypertext-based thesaurus allow bookmark button and history button to alleviating the problem of disorientation. (4) This system allow an end-user to view a rich variety of inter-term relationships and a complete conceptus of associations through the information space in a nonsequential manner.

• The Journal of the Acoustical Society of Korea
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• v.16 no.5
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• pp.92-95
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• 1997

Thlephone pushbuttons simply consist of 0~9 digits, #, and ${\ast}$). So it is difficulty for user to input the various query command for information retrieval of audio response sevice. We suggest the new retrieval algorithm for audio response service using Korean initial sounds sequences. User those who do not know the retrieval code can retrieve the audio response service by pushing the telephone digit buttons which correspond to initial sounds of its name.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.5 no.6
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• pp.539-545
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• 2004

For question answering system that extracts an answer and output to user‘s natural language question, a process of question type classification from user’s natural language query is very important. This paper proposes a question and answer type classifier using the interrogatives and word semantic categories instead of complicated classifying rules and huge dictionaries. Synonyms and postfix information are also used for question type classification. Experiments show that the semantic categories are helpful for question type classifying without interrogatives.