• The Korean Journal of Archival Studies
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• no.19
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• pp.57-102
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• 2009

Recently, distribution of record via web and coefficient of utilization are increase. so, Archival information service using website becomes essential part of record center. The main point of archival information service by website is making record information retrieval easy. It has need of matching user's request and representation of record resources correctly to making archival information retrieval easy. Archivist and record manager have used various information representation tools from taxonomy to recent thesaurus, still, the accuracy of information retrieval has not solved. This study constructed record retrieval system based on Topic Map by modeling record resources which focusing on description metadata of the records to improve this problem. The target user of the system is general web users and its range is limited to the president related sources in the National Archives Portal Service. The procedure is as follows; 1) Design an ontology model for archival information service based on topic map which focusing on description metadata of the records. 2) Buildpractical record retrieval system with topic map that received information source list, which extracted from the National Archives Portal Service, by editor. 3) Check and assess features of record retrieval system based on topic map through user interface. Through the practice, relevance navigation to other record sources by semantic inference of description metadata is confirmed. And also, records could be built up as knowledge with result of scattered archival sources.

• Journal of Korean Society of Archives and Records Management
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• v.17 no.1
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• pp.217-244
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• 2017

With the development of information technology, users can freely search records and archives without the involvement of archivists. However, existing records retrieval systems show only partial search results, which do not consider the users' intention. To overcome this problem, semantic web technology is being developed, and the International Council on Archives (ICA) is working to develop RIC (Records In Context), a new archival description standard, which reflects the trend. The conceptual model for archival description and its ontology of RIC are the basis for implementing semantic-based retrieval. In other words, it is necessary to consider the viewpoint of the users on how the records retrieval based on meaning should be designed and provided. Therefore, this study selected three cases of systems, which are built as semantic web technology, and conducted interviews of the users for the evaluation of the systems based on user experience. This study proposes the kind of interface that can be implemented for the ontology-based record retrieval system.

• Journal of the Korean Society for Library and Information Science
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• v.35 no.4
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• pp.97-122
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• 2001

This empirical study investigated the effect of choice of record field(s) upon which to search on retrieval performance for a large operational bibliographic database. The query terms used in the study were identified algorithmically from each target set in four different ways: (1) controlled terms derived from index term frequency weights, (2) uncontrolled terms derived from index term frequency weights. (3) controlled terms derived from inverse document frequency weights, and (4) uncontrolled terms based on universe document frequency weights. Su potable choices of record field were recognised. Using INSPEC terminology, these were the fields: (1) Abstract. (2) 'Anywhere'(i.e., ail fields). (3) Descriptors. (4) Identifiers, (5) 'Subject'(i.e., 'Descriptors' plus Identifiers'). and (6) Title. The study was undertaken in an operational web-based IR environment using the INSPEC bibliographic database. The retrieval performances were evaluated using D measure (bivariate in Recall and Precision). The main findings were that: (1) there exist significant differences in search performance arising from choice of field, using 'mean performance measure' as the criterion statistic; (2) the rankings of field-choices for each of these performance measures is sensitive to the choice of query : and (3) the optimal choice of field for the D-measure is Title.

• Journal of the Korea Society of Computer and Information
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• v.20 no.8
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• pp.77-83
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• 2015

The storage and retrieval of multimedia data is becoming increasingly important in many application areas including record management, video(CCTV) management and Internet of Things (IoT). In these applications, the files containing multimedia that need to be stored and managed is tremendous and constantly scaling. In this paper, we propose a technique to retrieve a very large number of files, in multimedia format, using the Hadoop Framework. Our strategy is based on the management of metadata that describes the characteristic of files that are stored in Hadoop Distributed File System (HDFS). The metadata schema is represented in Hbase and looked up using SQL On Hadoop (Hive, Tajo). Both the Hbase, Hive and Tajo are part of the Hadoop Ecosystem. Preliminary experiment on multimedia data files stored in HDFS shows the viability of the proposed strategy.

• Journal of the Korean Society for Library and Information Science
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• v.17
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• pp.49-83
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• 1989

A Full text retrieval system is a natural language document retrieval system in which the full text of all documents in a collection is stored on a computer so that every word in every sentence of every document can be located by the machine. This kind of IR System is recently becoming rapidly available online in the field of legal, newspaper, journal and reference book indexing. Increased research interest has been in this field. In this paper, research on full text databases and retrieval systems are reviewed, directions for research in this field are speculated, questions in the field that need answering are considered, and variables affecting online full text retrieval and various role that variables play in a research study are described. Two obvious research questions in full text retrieval have been how full text retrieval performs and how to improve the retrieval performance of full text databases. Research to improve the retrieval performance has been incorporated with ranking or weighting algorithms based on word occurrences, combined menu-driven and query-driven systems, and improvement of computer architectures and record structure for databases. Recent increase in the number of full text databases with various sizes, forms and subject matters, and recent development in computer architecture artificial intelligence, and videodisc technology promise new direction of its research and scholarly growth. Studies on the interrelationship between every elements of the full text retrieval situation and the relationship between each elements and retrieval performance may give a professional view in theory and practice of full text retrieval.

• Proceedings of the Korean Information Science Society Conference
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• 1999.10b
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• pp.298-300
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• 1999

컴퓨터 지원 협동작업(Computer Supported Cooperative Work, CSCW)을 실혐시키는 그룹웨어에 대한 연구는 여러 분야에서 활발히 이루어지고 있으나, 공동 프로젝트 수행시 참여자간 의사 소통에 필요한 정보 공유를 위해 효율적인 자료 기록 및 검색에 대한 연구는 미비한 실정이다. 따라서 본 논문에서는 공동 작업시 필요한 자료 공유와 효과적인 검색을 위하여 DBMS 질의를 이용한 자료 기록과 검색 뿐 아니라 규칙 기반의 검색 엔진 설계를 포함하는 지능적인 검색기능을 제공하는 그룹웨어 회의 시스템인 IReRCoS(Record and Retrieval based Conferencing System)를 설계한다. JAVA Applet 인터페이스를 통해 공유 자료 기록 조건과 검색 조건을 입력하고 데이터베이스에 저장된 자료를 MSSQL 질의어 및 JESS의 검색 엔진을 통해 해당 파일을 추출한다. IReRCoS는 지능적인 공유자료 기록 및 검색 기능을 지원함으로써 컴퓨터 기반의 다수가 참여한 공동 작업을 원활히 수행할 수 있는 통합된 그룹웨어 환경을 제공하는 것을 목표로 한다.

• Journal of Korean Society of Archives and Records Management
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• v.13 no.3
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• pp.67-97
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• 2013

The purpose of this study is to design and evaluate an individual instance-based ontology retrieval system for archival records of the "Saemaul Movement". We used Protege editor 4.1 to design an individual instance-based ontology. To evaluate the proposed ontology retrieval system, five short queries and ten narrative queries were used and compared their precision and recall against the NARA keyword-based retrieval system. The performance results showed that the individual-based ontology retrieval system outperformed the keyword-based retrieval system in terms of the measurement of precision and recall.

• Journal of Korean Library and Information Science Society
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• v.40 no.3
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• pp.317-336
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• 2009

Several protocols have been developed to efficiently utilize a great number of distributed resources. This paper investigated the background, operations and elements of SRU and SRU Record Update protocol, compared them with other protocols, and reviewed their implementation cases. The purpose of this pager is to broaden the understanding of the two new standards and to provide a practical guide to ensure their interoperability for libraries and information service centers which want to expose their own contents and to access to external resources.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.14 no.2
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• pp.122-129
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• 2014

Effective information gathering and retrieval of the most relevant web documents on the topic of interest is difficult due to the large amount of information that exists in various formats. Current information gathering and retrieval techniques are unable to exploit semantic knowledge within documents in the "big data" environment; therefore, they cannot provide precise answers to specific questions. Existing commercial big data analytic platforms are restricted to a single data type; moreover, different big data analytic platforms are effective at processing different data types. Therefore, the development of a common big data platform that is suitable for efficiently processing various data types is needed. Furthermore, users often possess more than one intelligent device. It is therefore important to find an efficient preference profile construction approach to record the user context and personalized applications. In this way, user needs can be tailored according to the user's dynamic interests by tracking all devices owned by the user.

• Journal of the Korean Society for information Management
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• v.24 no.3
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• pp.343-362
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• 2007

The purpose of this study is to design and implement an ontology-based retrieval system for the electronic records of universities and to compare its performance with the existing keyword-based retrieval system. We used OntoStudio 1.4 for implementing an ontology-based retrieval system, and the test collection consisted of the following: (1) 5,099 electronic records of the 'personnel management notification' created by Korea Maritime University, (2) 20 topics (10 short-topics and 10 long-topics), and (3) the relevant assessments were conducted by the group of human experts. 10 university staff participated in the experiment of keyword-based searching and used the same test collection as used in the experiment of ontology-based searching. The ontology-based retrieval system outperformed to the keyword-based retrieval system in terms of Recall and Precision, and the same results showed in the test of the short-topics and long-topics comparison.