• Journal of the Korean Society for Library and Information Science
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• v.28
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• pp.247-266
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• 1995

The purpose of information retrieval is to help users solve their problems. To fulfill the purpose the user's problem needs to be focused on. The purpose of this study is to identify components and the structure of the user's problem in an academic research environment. From this study it was found that the scientific problem dealt within an academic environment is complicate and the problem is composed of 8 topical and 4 non-topical components. And they could be organized into a stucture. This study has three implications for user-oriented information retrieval. (1) The components and the structure of the problem need to be the framework for the effective information retrieval process and for the evaluation of information retrieval. (2) The research methodology used in this study can be applied to other information service situations and this will result in greater practical implication of a study for more effective information retrieval. And (3) for more effective user-oriented information retrieval, the user needs to be observed and studied in the actual' situation. This study showed that the complicate problem of the actual user can be studied in a systematic way and this resulted in important implications for information retrieval.

• Journal of the Korean Society for Library and Information Science
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• v.16
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• pp.177-205
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• 1989

Retrieval effectiveness is the principal criteria for measuring the performance of an information retrieval system. This paper deals with the characteristics of 'relevance' of information and various measuring techniques of retrieval effectivess. The outlines of this study are as follows: 1) Relevance decision for evaluation should be devided into the user-oriented and the system-oriented decisions. 2) The recall-precision measure seems to be user-oriented, and the recall-fallout measure to be system-oriented. 3) Many of composite measures can not be justified III any rational manner unfortunately. 4) The Swets model has demonstrated that it yields, in general, a straight line instead of a curve of varying curvature and emphasized the fundamentally probabilistic nature of information retrieval. 5) The Cooper model seems to be a good substitute for precision and a useful measure for systems which ranked documents. 6) The Rocchio model were proposed for the evaluation of retreval systems which ranked documents, and were designed to be independent of cut-off. 7) The Cawkell model suggested that the Shannon's equation for entropy can be applied to measuring of retrieval effectiveness.

• Journal of Information Science Theory and Practice
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• v.1 no.3
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• pp.12-32
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• 2013

The paper introduces the research area of interactive information retrieval (IIR) from a historical point of view. Further, the focus here is on evaluation, because much research in IR deals with IR evaluation methodology due to the core research interest in IR performance, system interaction and satisfaction with retrieved information. In order to position IIR evaluation, the Cranfield model and the series of tests that led to the Cranfield model are outlined. Three iconic user-oriented studies and projects that all have contributed to how IIR is perceived and understood today are presented: The MEDLARS test, the Book House fiction retrieval system, and the OKAPI project. On this basis the call for alternative IIR evaluation approaches motivated by the three revolutions (the cognitive, the relevance, and the interactive revolutions) put forward by Robertson & Hancock-Beaulieu (1992) is presented. As a response to this call the 'IIR evaluation model' by Borlund (e.g., 2003a) is introduced. The objective of the IIR evaluation model is to facilitate IIR evaluation as close as possible to actual information searching and IR processes, though still in a relatively controlled evaluation environment, in which the test instrument of a simulated work task situation plays a central part.

• Journal of the Korean Society for Library and Information Science
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• v.49 no.4
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• pp.99-124
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• 2015

As the improvement of digital technologies increases the use of images from various fields, the domain of image retrieval has evolved and become a growing topic of research in the Library and Information Science field. The purpose of this study is to identify the knowledge structure of the image retrieval domain by using the author co-citation analysis and author bibliographic coupling as analytical tools in order to understand the domain's past and present. The data set for this study is 245 articles with 8,031 cited articles in the field of image retrieval from 1998 to 2013, from the Web of Science citation database. According to the results of author co-citation analysis for the past of the image retrieval domain, our findings demonstrate that the intellectual structure of image retrieval in the LIS field consists of predominantly user-oriented approaches, but also includes some areas influenced by the CBIR area. More specifically, the user-oriented approach contains six specific areas which include image needs, information seeking, image needs and search behavior, image indexing and access, indexing of image collection, and web image search. On the other hand, for CBIR approaches, it contains feature-based image indexing, shape-based indexing, and IR & CBIR. The recent trends of image retrieval based on the results from author bibliographic coupling analysis show that the domain is expanding to emerging areas of medical images, multimedia, ontology- and tag-based indexing which thus reflects a new paradigm of information environment.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.4
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• pp.871-876
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• 2015

Recently, the Web is becoming more difficult to manage efficiently retrieve with the increase of data. However, the retrieval systems that are currently used have not been applied to the Semantic Web technology. Thus, the development of the Semantic Web is not activated. User of the retrieval system also the Semantic Web usage is low is the situation. In this paper, we are analyzed the retrieval system that is currently being used. we are proposed added the rule of the RDF representation during ontology implementation of the retrieval system. And we propose the user-centric of retrieval system design and implementation.

• The Transactions of the Korea Information Processing Society
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• v.4 no.6
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• pp.1519-1530
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• 1997

Object-oriented software, reusability enables to specialize the software techniques by leading the user friendly thought and meets the user's need only concentrating on convenience of development environment. Reuse effect can be maximized through retrieval system. In this paper, we development the MT-Views(Multiple-Template Views) to realize the reuse effect as integrated reuse system including retrieval, understanding and rebuilding tools based on class library. We used the hybrid retrieval model for easy and efficient retrieval of similar software components. With using these tools, users can retrieve the reusable components and reuse the components for constructing therir own applications. Also, we can acquire many informations about retrieved components, so can rebuild components conforming our original intend.

• Journal of Korea Society of Digital Industry and Information Management
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• v.16 no.1
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• pp.21-31
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• 2020

Internet of Things is growing rapidly. As it evolves, the amount of data is increasing significantly. It requires a new personalized information retrieval method. Internet of Things is defined as uniquely identifiable interoperable connected object. The first definition of Internet of Things was from Things oriented perspective. However, previous studies about personalized information retrieval method do not consider Things. To meet user's individual needs, previous studies concentrate on only human, not Things. In this paper, we propose a personalized information retrieval method considering participating device in Internet of Things. It provides personalized information using data type preference for each device. Moreover, it provides personalized results by integrating data type preference for set of devices. This paper describes a new personalized retrieval method and algorithm. It consists of five steps. Then, it presents four scenarios using proposed method. The scenarios show our work is more effective and efficient than existing one.

• Journal of Korean Library and Information Science Society
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• v.18
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• pp.91-138
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• 1991

The paper describes the application areas of the hypertext and the relevance of hypertext principles to the information retrieval system. As to the techniques of the hypertext information retrieval the various navigation method including a guided tour, a history list, a browser, a book-mark, etc. are discussed. The query system is considered as the other technique to be integrated into the hypertext system for the enhancement of the interactive function of the information retrieval. Based on the theoretical background, a conceptual model of hypertext information retrieval system was constructed using GUIDE which was developed by P.J. Brown of Kent University. 16 bibliographic records from LISA of 1991(June) were used for the illustration of the basic operation of the system. Though the study could not reach the implementation level due to the absolute constraints of the time and experimental environments, further efforts will continue to develop a prototype system of a hypertext information retrieval. A few conclusions can be derived from the study : (1) The integration of the hypertext into the information retrieval system can be justified by permitting the end-users to have much stronger and more flexible interaction with the system. (2) The more the degree of the sofistication of the existing information retrieval system is the more the possibility of the development of an effective and user-oriented information retrieval system will be greater by integrating guide as a front end system to the underlying software. (3) The deep knowledge about the functions of information retrieval which can be enhanced by the hypertext could be acquired by the information retrieval specialists.

• The Transactions of the Korea Information Processing Society
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• v.6 no.12
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• pp.3514-3522
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• 1999

While the method of information collection and visual interface technique have been researched actively on web information retrieval, a study on structured modeling for effective classification of a wide collective information leaves to be desired. In this paper, we represent information feature based on structured information model. It aims at carrying out effectively the user's retrieval environment through visualization technique with analyzing the information feature. We propose a information classification method using Facet units and we construct the object model, table model, SQL code to define the relation of the information, and represent the information feature based on a wide range of views. After users gain a better global understanding of the information feature, retrieve more easily through their information. Conventional information retrieval is user-oriented to be what user want, but proposed technique it data-oriented which helps users to understand what exist in database by showing information feature.

• Proceedings of the Korean Information Science Society Conference
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• 2008.06a
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• pp.55-59
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• 2008

In the field of software reuse, several methods for storage and retrieval of assets abound. However, these methods often find their limits; they fail to turn up the suitable reusable assets that satisfy the needs of a particular software system under development. Two problems are the root cause of this situation. One is the lack of accurate semantics for describing software assets. The other is the ignorance of the user query context. In such a context, this paper presents an XML-based asset representation model for describing all kinds of software asset that can be reused within software development process. The proposed model provides semantic metadata for describing assets oriented user context in order to build the foundation for semantic reasoning in the retrieval process.