• 한국문헌정보학회지
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• 제8권
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• pp.73-101
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• 1981

Retrieval effectiveness is the principal criterion for measuring the performance of an information retrieval system. The effectiveness of a retrieval system depends primarily on the extent to which it can retrieve wanted documents without retrieving unwanted ones. So, ultimately, effectiveness is a function of the relevant and nonrelevant documents retrieved. Consequently, 'relevance' of information to the user's request has become one of the most fundamental concept encountered in the theory of information retrieval. Although there is at present no consensus as to how this notion should be defined, relevance has been widely used as a meaningful quantity and an adequate criterion for measures of the evaluation of retrieval effectiveness. The recall and precision among various parameters based on the 'two-by-two' table (or, contingency table) were major considerations in this paper, because it is assumed that recall and precision are sufficient for the measurement of effectiveness. Accordingly, different concepts of 'relevance' and 'pertinence' of documents to user requests and their proper usages were investigated even though the two terms have unfortunately been used rather loosely in the literature. In addition, a number of variables affecting the recall and precision values were discussed. Some conclusions derived from this study are as follows: Any notion of retrieval effectiveness is based on 'relevance' which itself is extremely difficult to define. Recall and precision are valuable concepts in the study of any information retrieval system. They are, however, not the only criteria by which a system may be judged. The recall-precision curve represents the average performance of any given system, and this may vary quite considerably in particular situations. Therefore, it is possible to some extent to vary the indexing policy, the indexing policy, the indexing language, or the search methodology to improve the performance of the system in terms of recall and precision. The 'inverse relationship' between average recall and precision could be accepted as the 'fundamental law of retrieval', and it should certainly be used as an aid to evaluation. Finally, there is a limit to the performance(in terms of effectiveness) achievable by an information retrieval system. That is : "Perfect retrieval is impossible."

• 정보관리학회지
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• 제15권3호
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• pp.113-132
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• 1998

본 연구의 목적은 정보·통신기술의 발전에 따른 정보검색 환경의 변화 및 정보검색서비스의 실제적 요구에 상응하는 정보검색 교육모델을 제시하는 것이다. 이를 위해 먼저 기술 방법론적, 사회·경제적 환경변화와 정보검색서비스 전문가에게 요구되는 기능을 평가하였으며, 이어서 국내 대학 및 대학외 기관에서 이루어지는 정보검색 교육의 실태와 그 내용을 분석하였다. 분석 결과 새로운 환경변화와 이용자의 문제극복 과정에 참여하여 도움을 주는 정보검색서비스 전문가의 양성을 위해서는 교육내용의 확충과 보충이 요구되며, 이를 위해서는 이론교육과 실습교육으로의 이원화가 필요한 것으로 나타났다.

• 정보관리연구
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• 제19권2호
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• pp.37-54
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• 1988

정보검색분야(情報檢索分野)의 연구과제(硏究課題)들을 구분하여 정리하였으며 인공지능(人工知能)의 중요연구분야(重要硏究分野)를 소개하고 이들이 정보검색(情報檢索)에 응용될 수 있는 특성에 대해서 살펴보았다. 그리고 정보검색분야(情報檢索分野)에 이용될 수 있는 인공지능(人工知能)의 응용분야중(應用分野中) 현재까지 활발히 연구되고 있는 몇 가지 분야(分野)를 살펴봄으로써 정보검색(情報檢索)에서의 인공지능기술(人工知能技術)의 응용가능성(應用可能性)과 그 영향(影響)을 정리하였다.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 1996년도 Proceedings International Workshop on New Video Media Technology
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• pp.128-133
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• 1996

In this paper, we describe the design and implementation of a multimedia information system integrating hypermdia, information retrieval, and DBMS technologies. We browse the information space through hypermedia link navigation and also use ad hoc queries for direct retrieval of information from the database. Both the hypermedia and the information retrieval systems are integrated into a database management system (DMBS) so that concurrent edition, update, and retrieval of documents can have the ACID properties of atomicity, consistency, isolation, and durability. We will first explain the architecture of the system and then, describe how the hypermedia system is integrated with information retrieval capability, and finally integrated with DBMS capabilities.

• 디지털산업정보학회논문지
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• 제16권1호
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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.

• 한국문헌정보학회지
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• 제28권
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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 Information Science Theory and Practice
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• 제1권3호
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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.

• 한국정보과학회논문지:소프트웨어및응용
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• 제29권9호
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• pp.631-644
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• 2002

In this paper efficient algorithms for content-based video retrieval using motion information are proposed, including temporal scale-invariant retrieval and temporal scale-absolute retrieval. In temporal scale-invariant video retrieval, the distance transformation is performed on each trail image in database. Then, from a given que교 trail the pixel values along the query trail are added in each distance image to compute the average distance between the trails of query image and database image, since the intensity of each pixel in distance image represents the distance from that pixel to the nearest edge pixel. For temporal scale-absolute retrieval, a new coding scheme referred to as Motion Retrieval Code is proposed. This code is designed to represent object motions in the human visual sense so that the retrieval performance can be improved. The proposed coding scheme can also achieve a fast matching, since the similarity between two motion vectors can be computed by simple bit operations. The efficiencies of the proposed methods are shown by experimental results.

• 컴퓨터교육학회논문지
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• 제6권3호
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• pp.143-150
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• 2003

인터넷에 많은 정보가 있지만, 검색자가 자신이 필요한 정확한 정보를 찾기는 쉽지 않다. 따라서 정보 효율적으로 수집, 분석, 활용하는 능력을 길러주는 교육이 요구된다. 일반적으로 검색자들은 저마다의 방법을 통해 정보 검색 과정을 수행하므로, 이때 검색된 결과물은 개인에 따라 상이하게 나타난다. 본 연구는 초등학생의 정보 검색 활동을 관찰하여 검색자의 개인별 특성, 특히 인지 양식에 따른 정보 검색 전략과 검색 결과의 차이를 분석한다. 또한 이를 통해 정보 검색 능력 신장 및 정보 검색 시스템의 효율성 제고를 위한 교육 방안을 제안한다.

• 한국도서관정보학회지
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• 제40권3호
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• pp.367-387
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• 2009

유사 문헌 검색 시스템은 추출된 색인어 중에서 어떤 것을 선택하는가에 따라 검색 결과에 많은 차이점이 발생한다. 본 연구에서는 추출된 후보 색인어의 선정의 오류를 최소한으로 하는 방법을 제공한다. 본 연구에서는 유사문헌에서 추출된 후보 색인어들을 이용하여 인접한 단어들의 정보와 추출된 키워드 주제어 정보를 이용하였다. 그리고 관련 저자들 정보와 검색 결과의 재순위화 방법을 이용하여 보다 정확도가 높은 유사 문헌 검색 시스템을 개발하였다. 본 논문에서는 과학기술 학회마을 데이터베이스를 이용하여 실험하였다. 실험과 사용자 평가를 통해서 유사 문헌 검색 시스템의 성능을 입증하였다.