• Journal of the Korean Society for Library and Information Science
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• v.32 no.1
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• pp.129-154
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• 1998

In these days the online full-text database are increasing, but conventional full-text information retrieval system has been proved with high recall ratio and low precision ratio. One of the disadvantages of full-text IR system is that it is not designed to reflect the user's information need it is due to the fact that full-text IR system has been designed based on physical and logical structure of document without considering the content of document. Therefore, the purpose of the study examined feasibility of document content structure in full-text IR system by resolving such disadvantages of conventional system. 180 Journal articles have been analyzed to find common structure of document content and finally general model of the structure of journal articles were developed. The result shows that have relation to between user's cogntive schema structure, user's information need and contents structure of document. Thus it is concluded that full-text IR system need to be designed by using document content structure in order to meet user's information need more effectively.

• Journal of the Korean Society for information Management
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• v.4 no.1
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• pp.24-46
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• 1987

The recent growth of full-text database operations has brought new opportunities for subject access. The fundamental problem of subject access in the online environment is the indexing language and technology. The purpose of this paper is to identify the characteristics and capabilities of full-text retrieval as compared to traditional bibliographic retrieval. Retrieval performance of indexing languages, full-text systems features achieved so far, and the new role of a controlled vocabulary, are examined. This paper also includes a review of the research on full-text retrieval performance.

• Journal of the Korean Society for information Management
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• v.14 no.2
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• pp.123-141
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• 1997

This study examined the extent to which variations in relevance assessments affect the evaluation of the performance of full-text retrieval system. Four sets of relevance judgments obtained by examining the full-text of documents were used to test the retrieval effectiveness. There was no noticeable difference in retrieval performance among the four relevance judgment sets. It implies that a variety of definitions of relevance has no effect on the evaluation of the performance of the full-text retrieval system. Furth r retrieval experiments on this topic incorporating relevance feedback, which is one of the sophisticated retrieval techniques using relevance information, are suggested.

• Journal of information and communication convergence engineering
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• v.18 no.1
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• pp.33-38
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• 2020

Elasticsearch is an open source search and analytics engine that can search petabytes of data in near real time. It is designed as a distributed system horizontally scalable and highly available. It provides RESTful APIs, thereby making it programming-language agnostic. Full text search of multilingual text requires language-specific analyzers and field mappings appropriate for indexing and searching multilingual text. Additionally, a language detector can be used in conjunction with the analyzers to improve the multilingual text search. Elasticsearch provides more than 40 language analysis plugins that can process text and extract language-specific tokens and language detector plugins that can determine the language of the given text. This study investigates three different approaches to index and search Chinese, Japanese, and Korean (CJK) text (single analyzer, multi-fields, and language detector-based), and identifies the advantages of the language detector-based approach compared to the other two.

• Asia pacific journal of information systems
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• v.1 no.1
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• pp.87-101
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• 1991

The primary purpose of this study was to investigate a robust search methodology that could be used in full-text information retrieval systems. A robust search methodology is one that can be easily used by a variety of users (particularly naive users) and it will give them comparable search performance regardless of their different expertise or interests In order to develop a possibly robust search methodology, a fully functional prototype of a fuzzy knowledge based information retrieval system was developed. Also, an experiment that used this prototype information retreival system was designed to investigate the performance of that search methodology over a small exploratory sample of user queries To probe the relatonships between the possibly robust search performance and the query organization using fuzzy inference logic, the search performance of a shallow query structure was analyzes. Consequently the following several noteworthy findings were obtained: 1) the hierachical(tree type) query structure might be a better query organization than the linear type query structure 2) comparing with the complex tree query structure, the simple tree query structure that has at most three levels of query might provide better search performance 3) the fuzzy search methodology that employs a proper levels of cut-off value might provide more efficient search performance than the boolean search methodology. Even though findings could not be statistically verified because the experiments were done using a single replication, it is worth noting however, that the research findings provided valuable information for developing a possibly robust search methodology in full-text information retrieval.

• Journal of the Korean Society for Library and Information Science
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• v.32 no.3
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• pp.281-296
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• 1998

This study indicates that it is necessary to have characteristic information the information experts recognize-that is to say, experimental and inherent knowledge only human being can have built-in into the system rather than to approach the information system by the linguistic, statistic or structuralistic way, and it can be more essential and intelligent information system. As this study proves that the cited primary legal information within the secondary legal information functions as the index which represents the contents of the text because of the characteristics of legal information, the automatic indexing in the secondary legal full-text databases can be possible without the assitance of the experts. In case of the establishment, amendment or repealing of law, change of index terms can be possible through revising the legal text cited in the secondary legal information full-text databases. Even when we don't input the full-text about retrospective documents, automatic indexing is also possible, and the establishment and the practice of expert knowledge and integrated databases are possible in case of the retrospective documents.

• Journal of the Korean Society for information Management
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• v.10 no.2
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• pp.43-67
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• 1993

The primary purpose of the study is to improve the low preclslon often found In full-text retrleval systems. In order to enhance the low precision of full-text retrleval wh~le retaining ~ t s hgh recall, relevance feedback mechanisms based on probabilistic retrieval models (binary independence and two-Polsson Independence models) were employed. Thls paper investigates the effect of relevance feedback on the performance of full-text retrieval systems.

• Journal of Information Management
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• v.24 no.1
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• pp.1-20
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• 1993

KTRC(Korea Telecom Research Center) has developed the KTRIMS(Korea Telecom Research Information Management System) to keep and share the full text of the various up-to-date research information which many research institutes in KT have produced. This paper has presented the structure and the features of the KTRIMS.

• The KIPS Transactions:PartD
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• v.11D no.3
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• pp.509-518
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• 2004

Recently there has been some efforts to add XML full-text retrievals and XML updates into new standardization of XML queries. XML full-text retrievals plays an important role in XML query languages. of like tables in relational model an XML document has complex and unstructured natures. We believe that when we try to get some information from unstructured XML documents a full-text retrieval query is much more convenient approach than a regular structured query XML update is another core function that an XML query have to have. In this paper we propose an inverted index to support XML updates and XML full-text queries in relational environment. Performance comparisons exhibit that our approach maintains a comparable size of inverted indexes and it supports many full-text retrieval functions very well. It also shows very stable retrieval performance especially for large size of XML documents. Foremost our approach handles XML updates efficiently by removing cascading effects.

• Journal of Information Management
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• v.27 no.4
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• pp.35-56
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• 1996

SGML(Standard Generalized Markup Language) and its application to full-text database including a table, a figure and a picture are explained. A structure of SGML based full-text database Is defined by DTD(document type definition) written in SGML, and full-text itself is described with generalized markup depending on DTD. This article explains how to represent a document structure : a hierarchical structure like a chapter, a section, or a paragraph, or non-hierarchical(referencial) structure like a note, a table, a figure or a picture. Merits of SGML, electronic publishing, a retrieval system or hypertext and SGML tools are also described.