• 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.

• 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 the Korean Society for Library and Information Science
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• v.17
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• pp.339-366
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• 1989

Appearance of full-text online is the most encouraging phenomenon ·during the development of databases. The full-text databases of today is derived from by-product of electronic publication of printed materials. Now, there are also some movements toward electronic production of documents in Korea although not powerful. The present study is designed to examine the characteristics and effective retrieval method of full-text databases now commercially available through various vendors. The outline of this paper IS as follows: First, background and present situation of existing full-text database services through national and worldwide are examined. Second, free-text searching system of full-text databases is compared with controlled vocabulary system. The factors influencing on free-text retrieval performance, searching thesaurus, and hybrid or compromising system, which is using limited controlled vocabulary in conjunction with natural language for the enrichment needed for practical operation of the . system, are examined. Third, user demands through the analysis of preceding studies on 'various types of full-text databases are recognised. Fouth, application of CD-ROM full-text database to the libraries and information centers is examined as prospective resources for them. Finally, some problems and prospect of full-text databases are presented.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2000.10a
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• pp.337-340
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• 2000

Using the Information Retrieval systems on the Internet, the demand of exact and specific information has also been popularized. To offer exact information, there k3 been generalized demand of searching from the keyword of the shortened text and also of the full-text. This study is to suggest a scheme for full-text searches. It is to compare the existing scheme of information search and full-text information search with interMedia text. We suggest search methods for the full-text.

• The Journal of the Korea Contents Association
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• v.5 no.2
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• pp.229-242
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• 2005

We constructed a full-text retrieval system for the scanned Hangul document images. The system consists of three parts; preprocessing, recognition, and retrieval components. The retrieval algorithm uses recognition results up to k-ranks. The algorithm is not only insensitive to the recognition errors, but also has the advantage of user-controllable recall and precision. For the objective performance evaluation, we used the scanned images of the Journal of Korea Information Science Society provided by KISTI. The system was shown to be practical through theevaluationofrecognitionandretrievalrates.

• 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.

• 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 the Korean Society for information Management
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• v.32 no.3
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• pp.277-293
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• 2015

This study examined the relative retrieval effectiveness after relevance feedback between two systems (Title/Abstract and Full-text) using four different sets of relevance judgment. Four relevance levels (not relevant, marginally relevant, relevant, highly relevant) are also used, each of which is determined by referees giving a relevance score to documents. This study also investigated how much the average precision was improved after relevance feedback when "marginally relevant" documents are included in the relevant class with the Title/Abstract system, and with the Full-text retrieval system as well. It is found that the Title/Abstract system benefited from relevance feedback with the marginally relevant documents. In case of the Title/Abstract system, the higher percentage of improvement was consistently obtained when including the marginally relevant documents in the relevance class, however the result was vice versa in case of the Full-text retrieval system. It implied that the marginally relevant documents in the relevant class had caused noises in the Full-text retrieval system.

• Journal of the Korean Society for information Management
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• v.16 no.3
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• pp.49-63
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• 1999

The purpose of this study is to investigate whether the terms in queries are distributed according to the 2-Poisson model in the documents represented by abstract/title or full-text. In this study, retrieval experiments using Binary independence and 2-Poisson independence model, which are based on the probabilistic theory, were conducted to see if the 2-Poisson distribution of the query terms has an influence on the retrieval effectiveness, particularly of full-text information retrieval system.