• International Journal of Knowledge Content Development & Technology
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• v.14 no.4
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• pp.47-64
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• 2024

The role of librarians has evolved beyond traditional bookkeeping and cataloging to include dynamic responsibilities in research information retrieval. This study examined the determinants influencing effective research information retrieval among Nigerian librarians, specifically focusing on ICT competencies, web competencies, and web search strategies. A descriptive survey was conducted, sampling 112 librarians from eight universities using questionnaires as the data collection instrument. The findings revealed that all three determinants-ICT competencies, web competencies, and web search strategies-were positively correlated with librarians' effective information retrieval for research in university libraries. Among them, web search strategies had the most significant impact, while web competencies had the least. Additionally, the combined influence of these determinants accounted for 68% of librarians' effective information retrieval for research. A multiple regression analysis was performed, yielding an F-ratio value of 37.85, which was significant at the 0.05 level. This underscores the importance of these determinants in shaping the effectiveness of information retrieval practices among librarians in university libraries.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.12 no.4
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• pp.324-328
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• 2012

With the recent advances in information retrieval, cross-media retrieval has been attracting lot of attention, but several issues remain problems such as constructing effective correlations, calculating similarity between different kinds of media objects. To gain better cross-media retrieval performance, it is crucial to mine the semantic correlations among the heterogeneous multimedia data. This paper introduces a new method for cross-media retrieval which uses ontology to organize different media objects. The experiment results show that the proposed method is effective in cross-media retrieval.

• 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.

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 2005.10a
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• pp.450-455
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• 2005

Effective information "query and retrieval" process is one of the fundamental problems in the field communication and information science and has become especially important due to dramatic increase in magnitude of information to be processed in modern era. Of particular importance at information exchange process, our study focuses on compositions of proper queries and retrieval of rural amenity resources. This particular task has been difficult because the rural amenity resources does not necessarily carry measurable traits and also contains huge amount of data. In this Letter, we propose an alternative approach to the architecture of the resource information system by use of a noble retrieval algorithm based on ontology. Test of efficiency and applicability of this new scheme was conducted, and it showed that this has possibility to be effective information retrieval process of rural amenity resources.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.10 no.1
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• pp.21-32
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• 2010

User query formation highly acts on the effectiveness of information retrieval when we retrieve documents from the general domain as a web. This thesis proposes a intelligent information retrieval method based on a cross-lingual knowledge base to effectively perform a cross-lingual text retrieval from the web. The inferred knowledge from the cross-lingual knowledge base helps user's word association to make up user query easily and exactly for effective cross-lingual text information retrieval. This thesis develops user's query reformation algorithm and experiments it with Korean and English web. Experimental results show that the algorithm based on the proposed knowledge base is much more effective than without knowledge base in the cross-lingual text retrieval.

• 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.

• Journal of Korea Society of Digital Industry and Information Management
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• v.6 no.1
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• pp.143-149
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• 2010

In ubiquitous environment, information retrieval using collaborative filtering is a popular technique for reducing information overload. Collaborative filtering systems can produce personal recommendations by computing the similarity between your preference and the one of other people. We integrate the collaboration filtering method and context-aware information retrieval method. The proposed method enables to find some relevant information to specific user's contexts. It aims to makes more effective information retrieval to the users. The proposed method is conceptually comprised of two main tasks. The first task is to tag context tags by automatic tagging technique. The second task is to recommend items for each user's contexts integrating collaborative filtering and information retrieval. We describe a new integration method algorithm and then present a u-commerce application prototype.

• Journal of the Korean Society for information Management
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• v.20 no.3
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• pp.111-127
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• 2003

The purpose of this study is to ascertain whether event tracking is more effective in event retrieval than information filtering. This study examined the two techniques for event retrieval to suggest the more effective one. The event-retrieval performances of the event tracking technique based on a kNN classifier and the query-based information filtering technique were compared. Two event tracking experiments, one with the static training set and the other with the dynamic training set , were carried out. Two information filtering experiments, one with initial queries and the other with refined queries, were also carried out to evaluate the event-retrieval effectiveness. We found that the event tracking technique with the static training set performed better than on with the dynamic training set. It was also found that the information fitering technique using intial queries performed better than one using the refined queries. In conclusion, the comparison of the best cases of event tracking and information filtering revealed that the information filtering technique outperformed the event tracking technique in event retrieval.

• 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 Information Management
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• v.24 no.3
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• pp.73-100
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• 1993

In attempting to respond to boolean retrieval system's limitations, this paper presents the design of a retrieval system using fuzzy logic. The fuzzy retrieval system introduces the weights of terms in the documents and in the query and makes use of them to determine how much relevant a document is to the given query. After comparing and analyzing the previous researches, an effective model of the fuzzy retrieval system is suggested and the performance of the system is evaluated through actual examples.