• Title/Summary/Keyword: Knowledge Retrieval

Search Result 396, Processing Time 0.026 seconds

Cross-Lingual Text Retrieval Based on a Knowledge Base (지식베이스에 기반한 다언어 문서 검색)

  • Choi, Myeong-Bok;Jo, Jun
    • The Journal of the Institute of Internet, Broadcasting and Communication
    • /
    • v.10 no.1
    • /
    • pp.21-32
    • /
    • 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.

A Study on the Improvement of Performance of Concept-Based Information Retrieval Model Using a Distributed Subject Knowledge Base (주제별 분산 지식베이스에 의한 개념기반 정보검색시스템의 성능향상에 관한 연구)

  • 노영희
    • Journal of the Korean Society for information Management
    • /
    • v.19 no.1
    • /
    • pp.47-69
    • /
    • 2002
  • The concept based retrieval model has shown a higher performance than those of the simple matching function method or the P-norm retrieval method introduced to compensate the demerits of the Boolean retrieval model. However. it takes too long to create a semantic-net knowledge base, which is essential in concept exploration. In order to solve such demerits. a method was sought out by creating a distributed knowledge base by subjects to reduce construction time without hindering the performance of retrieval.

Development of Information Visualization Tool using Knowledge Representation (지식 표상 방법을 이용한 정보 검색 시각화 도구 개발)

  • Ji, Hye-Sung;Park, Ki-Nam;Lim, Heui-Seok
    • Journal of Digital Convergence
    • /
    • v.10 no.9
    • /
    • pp.383-390
    • /
    • 2012
  • In this paper, we suggest an information retrieval visualization tool using the knowledge representation method. Information retrieval visualization tool suggested in this paper is designed to automatically extract retrieval intention using user's search history data and visualize extracted retrieval intention in the knowledge representation method structure. A psychological knowledge representation methodology was adopted for schema for retrieval intention representation and its effectiveness has been proved through the behavioral experiments. Result of experiment revealed that information retrieval visualization tool has been improved approximately 39% in user satisfaction compared to existing retrieval method, suggesting a measure to solve re-retrieval problem in the process of information retrieval.

ONTOLOGY BASED KNOWLEDGE RETRIEVAL IN CONSTRUCTION PROJECTS: FOCUSED ON THE CONSTRUCTION PROCESS

  • Kyung-won Lee;Moonseo Park;Hyunsoo Lee;Soonseok Kwon
    • International conference on construction engineering and project management
    • /
    • 2009.05a
    • /
    • pp.949-955
    • /
    • 2009
  • Managing knowledge effectively is a critical factor for the competitive power of a company. There are efforts to use knowledge as an important resource in many industrial areas and likewise the interest in knowledge management is growing in the construction industry. Nevertheless, there are limitations in the current capture and reuse of knowledge in the construction industry owing to the unique characteristics of the knowledge created during the processes of projects. The knowledge produced during the processes of construction projects is project-oriented, experiential and context specific and due to these characteristics the reuse of knowledge is difficult. In this research, we focus on capturing and identifying the characteristics of construction knowledge and propose a method to apply these characteristics in developing an ontology based construction knowledge retrieval system to improve construction knowledge retrieval and enhance knowledge reuse.

  • PDF

Information Retrieval: A Communication Process in the 21st Century Library

  • Umeozor, Susan Nnadozie
    • International Journal of Knowledge Content Development & Technology
    • /
    • v.10 no.2
    • /
    • pp.7-18
    • /
    • 2020
  • Communication is a process involving a group of interrelated elements working together for the purpose of information transfer. This paper discusses information retrieval as a communication process in the 21st century library. The difficulties associated with access to recorded knowledge through bibliographic control devices have been exacerbated by the interposition of additional encoding processes in the library and further decoding by the users. In addition, the innovation of internet/web has revolutionized the means and mode of communication process in the library by flooding information seekers with information and creating an illusion of self-sufficiency in many users. With these changes in information seeking behaviour and pattern, a cybernetic approach to information retrieval has emerged emphasizing adaptive control mechanisms and feedback processes. This paper argues that libraries should strive to continuously remain relevant by keeping abreast with changes in the behavior of information users. To this end, this paper proposes apomediatic-cybernetic model of communication, which illustrates information retrieval processes for the 21st-century library.

An Expert System for Content-based Image Retrieval with Object Database (객체 데이터베이스를 이용한 내용기반 이미지 검색 전문가 시스템)

  • Kim, Young-Min;Kim, Seong-In
    • Journal of Institute of Control, Robotics and Systems
    • /
    • v.14 no.5
    • /
    • pp.473-482
    • /
    • 2008
  • In this paper we propose an expert system for content-based image retrieval with object database. The proposed system finds keyword by using knowledge-base and feature of extracted object, and retrieves image by using keyword based image retrieval method. The system can decrease error of image retrieval and save running time. The system also checks whether similar objects exist or not. If not, user can store information of object in object database. Proposed system is flexible and extensible, enabling experts to incrementally add more knowledge and information. Experimental results show that the proposed system is more effective than existing content-based image retrieval method in running time and precision.

A Study of Designing the Knowledge Base System for the Query Extension by Index File (색인파일 기반의 질의어 확장용 지식베이스 구축에 관한 연구)

  • Seo, Whee
    • Journal of Korean Library and Information Science Society
    • /
    • v.40 no.2
    • /
    • pp.139-159
    • /
    • 2009
  • This study is to develop knowledge base system for query extension to the user oriented information retrieval. This study has survey the theories of the concept-based information retrieval method and statistic based information retrieval method. In the construction method of knowledge base, the common hypothesis is that the emergence of related term is the frequency of simultaneous emergence of a set of documents. Using the subject index file algorithms and the 'and' operator of boolean logic based on this hypothesis, this study builds the knowledge base. In this research experiment, a subject of knowledge base is education. Using the book of the Introduction to Education, two experimental knowledge base systems is constructed by the different indexing method. One system has constructed by controlled language indexing method, and another system has constructed by natural language indexing method. The performance of two knowledge base system is evaluated.

  • PDF

The Multi Knowledge-based Image Retrieval Technology for An Automobile Head Lamp Retrieval (자동차 전조등 검색을 위한 다중지식기반의 영상검색 기법)

  • 이병일;손병환;홍성욱;손성건;최흥국
    • Journal of the Institute of Convergence Signal Processing
    • /
    • v.3 no.3
    • /
    • pp.27-35
    • /
    • 2002
  • A knowledge-based image retrieval technique is image searching methods using some features from the queried image. The materials in this study are automobile head lamps. The input data is composed of characters and images which have various pattern. The numbers, special symbols, and general letters are under the category of the character. The image informations are made up of the distribution of pixel data, statistical analysis, and state of pattern which are useful for the knowledge data. In this paper, we implemented a retrieval system for the scientific crime detection at traffic accident using the proposed multi knowledge-based image retrieval technique. The values for the multi knowledge-based image features were extracted from color and gray scale each. With this 22 features, we improved the retrieval efficiency about the color information and pattern information. Visual basic, crystal report and MS access DB were used for this application. We anticipate the efficient scientific detection for the traffic accident and the tracking of suspicious vehicle.

  • PDF

A Study on Designing MPEG-7 Based Multimedia Metadata Generator (MPEG-7에 기반한 멀티미디어 메타정보 생성기 설계에 관한 연구)

  • Park, Sung-Hee;Choi, Dong-Si;Jang, Myung-Gil;Jung, Kyung-Tak;Yoo, Seong-Joon
    • Proceedings of the Korea Information Processing Society Conference
    • /
    • 2000.04a
    • /
    • pp.137-140
    • /
    • 2000
  • 본 논문은 영상, 음성, 문자 정보를 포함한 대용량 멀티미디어 자료의 효율적인 검색을 위하여 진행되고 있는 MPEG-7 국제 표준화 활동의 동향에 대해서 알아 보며 국제표준 MPEG-7을 따르는 MPEG-7 Description Generator의 설계에 관하여 연구한다. 이 생성기는 크게 MPEG-7 DS 편집 모듈과 MPEG-7 Description 편집 모듈로 나뉘다. MPEG-7 Description Generator는 표준화 대상이 아닌 비표준 도구(non-normative tool)로서 세계적인 기업들이 경쟁적으로 개발 중에 있는 멀티미디어 응용 프로그램 중의 하나다. MPEG-7 은 현재 표준화가 진행 중이지만 MPEG-7 Metadata Generator를 개발함으로써 많은 수요가 예상되는 MPEG-7 표준안이 채택될 시점에 MPEG-7 관련 응용프로그램 시장에서 선점하고자 한다.

  • PDF

A Study on the Performance Evaluation of Semantic Retrieval Engines (시맨틱검색엔진의 성능평가에 관한 연구)

  • Noh, Young-Hee
    • Journal of the Korean BIBLIA Society for library and Information Science
    • /
    • v.22 no.2
    • /
    • pp.141-160
    • /
    • 2011
  • This study suggested knowledge base and search engine for the libraries that have the largescaled data. For this purpose, 3 components of knowledge bases(triple ontology, concept-based knowledge base, inverted file) were constructed and 3 search engines(search engine JENA for rule-based reasoning, Concept-based search engine, keyword-based Lucene retrieval engine) were implemented to measure their performance. As a result, concept-based retrieval engine showed the best performance, followed by ontology-based Jena retrieval engine, and then by a normal keyword search engine.