• Title/Summary/Keyword: Information Retrieval Engine

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A Study on the XML-based Dynamic Search Engine for Internet Information Retrieval

  • Lee, Yang-Weon
    • Journal of information and communication convergence engineering
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    • v.1 no.3
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    • pp.143-146
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    • 2003
  • In the study, a new-concept search agent system for the WWW by using XML-based technology is proposed. The implementation of the prototype of this proposed system, the comparison with traditional search engines, and the evaluation of the prototype system are also.

Using Query Word Senses and User Feedback to Improve Precision of Search Engine (검색엔진의 정확률 향상을 위한 질의어 의미와 사용자 반응 정보의 이용)

  • Yoon, Sung-Hee
    • Journal of the Korean Society for information Management
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    • v.26 no.4
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    • pp.81-92
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    • 2009
  • This paper proposes a technique for improving performance using word senses and user feedback in web information retrieval, compared with the retrieval based on ambiguous user query and index. Disambiguation using query word senses can eliminating the irrelevant pages from the search result. According to semantic categories of nouns which are used as index for retrieval, we build the word sense knowledge-base and categorize the web pages. It can improve the precision of retrieval system with user feedback deciding the query sense and information seeking behavior to pages.

Design and Implementation of a XML Document Retrieval System Using the BRS/Search System (BRS/Search 시스템을 이용한 XML 문서 검색시스템 설계 및 구현)

  • 손충범;이병엽;유재수
    • Journal of Internet Computing and Services
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    • v.2 no.2
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    • pp.51-63
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    • 2001
  • In this paper, we design and implement a XML document retrieval system to support structure-based retrieval using the BRS/Search system that is a commercial search engine, The implemented system in this paper represents the logical structure of XML documents as the directory structure of the Unix file system. In addition, we define the database schema of BRS/Search system to store documents, We also implement a ETID extractor, a structure information extractor, a storage manager and a query processor additionally to support content retrieval, structure retrieval, mixed retrieval and attribute retrieval in the BRS/Search system.

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Access to Information on the Internet (인터넷을 통한 정보접근: Telnet에서 WWW까지)

  • Seo, Whee
    • Journal of Information Management
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    • v.26 no.4
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    • pp.28-62
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    • 1995
  • This paper introduced Internet totally, which is continuously changing, for the aspect of service-improvement to users. Particulary, the concepts, the features and methods of Gopher, Veronica, Archie, WAIS and WWW which are used broadly in the aspect of information retrieval, have been introduced with command-language in Internet. Among them, this paper intends not only to describe in detail the use of Web-browser's method but also to explain about the search engine which is provided in the large online service on the base of actual experience.

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A Study on the Relevance Improvement of Enterprise Search using Tag Information (TAG 정보를 활용한 기업검색의 적합성 향상 기법에 관한 연구)

  • Shon, Tae-Shik;Park, Byoung-Seob;Choi, Hyo-Hyun
    • Journal of the Korea Society of Computer and Information
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    • v.15 no.12
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    • pp.101-108
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    • 2010
  • In this paper, how fast and accurate the companies provides exponentially increasing information to the users is the most important in the corporate competitiveness. The enhancement of the retrieval relevance became the important element in enhancing company competitiveness and it is required to provide the services that are beyond simple retrieval service for good quality search service. This paper proposes the effective scheme that enhances retrieval relevance by utilizing registered tag information. By proposed scheme, we can overcome the limitations of retrieval relevance that usual search engines provide. And we compare the proposed scheme with existing web retrieval service on retrieval relevance evaluation and related search keyword.

Fuzzy Traffic Control Expert System (퍼지 교통 제어 전문가 시스템)

  • 진정애;김용기
    • Journal of Intelligence and Information Systems
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    • v.1 no.2
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    • pp.17-32
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    • 1995
  • 본 논문에서는 추론엔진 (inference engine)내에 퍼지정보 검색부(Fuzzy Information Retrieval part)를 갖는 교통신도 제어 전문가 시스템을 제안한다. 제안하는시스템은 다양하고 복잡한 도로 상화을 고려하여 그에 따른 적절한 주기를 각 도로별로 할당함으로써 원활한 교통 흐름을 제어한다. 추론엔진내의 퍼지정보 검색부는 퍼지 삼각 논리곱을 이용하여 도로의 상황을 분석한 후 각 도로에 맞는 가장 적절한 신호주기를 생성한다.

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Relevance Feedback based on Medicine Ontology for Retrieval Performance Improvement (검색 성능 향상을 위한 약품 온톨로지 기반 연관 피드백)

  • Lim, Soo-Yeon
    • Journal of the Korean Society for information Management
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    • v.22 no.2 s.56
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    • pp.41-56
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    • 2005
  • For the purpose of extending the Web that is able to understand and process information by machine, Semantic Web shared knowledge in the ontology form. For exquisite query processing, this paper proposes a method to use semantic relations in the ontology as relevance feedback information to query expansion. We made experiment on pharmacy domain. And in order to verify the effectiveness of the semantic relation in the ontology, we compared a keyword based document retrieval system that gives weights by using the frequency information compared with an ontology based document retrieval system that uses relevant information existed in the ontology to a relevant feedback. From the evaluation of the retrieval performance. we knew that search engine used the concepts and relations in ontology for improving precision effectively. Also it used them for the basis of the inference for improvement the retrieval performance.

A Study on Dynamic Query Expansion Using Web Mining in Information Retrieval (정보검색에서 웹마이닝을 이용한 동적인 질의확장에 관한 연구)

  • 황인수
    • Journal of Information Technology Applications and Management
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    • v.11 no.2
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    • pp.227-237
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    • 2004
  • While the WWW offers an incredibly rich base of information, organized as a hypertext, it does not provide a uniform and efficient way to retrieve specific information. When one tries to find information entering several query terms into a search engine, the highly-ranked pages in the result usually contain many irrelevant or useless pages. The problem is that single-term queries do not contain sufficient information to specify exactly which web pages are needed by the user. The purpose of this paper is to describe the employment of association rules in data mining for developing networks and computing associative coefficient among the terms. And this paper shows how the dynamic query expansion and/or reduction can be performed in information retrieval.

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An Intelligent Search Modeling using Avatar Agent

  • Kim, Dae Su
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.4 no.3
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    • pp.288-291
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    • 2004
  • This paper proposes an intelligent search modeling using avatar agent. This system consists of some modules such as agent interface, agent management, preprocessor, interface machine. Core-Symbol Database and Spell Checker are related to the preprocessor module and Interface Machine is connected with Best Aggregate Designer. Our avatar agent system does the indexing work that converts user's natural language type sentence to the proper words that is suitable for the specific branch information retrieval. Indexing is one of the preprocessing steps that make it possible to guarantee the specialty of user's input and increases the reliability of the result. It references a database that consists of synonym and specific branch dictionary. The resulting symbol after indexing is used for draft search by the internet search engine. The retrieval page position and link information are stored in the database. We experimented our system with the stock market keyword SAMSUNG_SDI, IBM, and SONY and compared the result with that of Altavista and Google search engine. It showed quite excellent results.

Survey of Automatic Query Expansion for Arabic Text Retrieval

  • Farhan, Yasir Hadi;Noah, Shahrul Azman Mohd;Mohd, Masnizah
    • Journal of Information Science Theory and Practice
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    • v.8 no.4
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    • pp.67-86
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    • 2020
  • Information need has been one of the main motivations for a person using a search engine. Queries can represent very different information needs. Ironically, a query can be a poor representation of the information need because the user can find it difficult to express the information need. Query Expansion (QE) is being popularly used to address this limitation. While QE can be considered as a language-independent technique, recent findings have shown that in certain cases, language plays an important role. Arabic is a language with a particularly large vocabulary rich in words with synonymous shades of meaning and has high morphological complexity. This paper, therefore, provides a review on QE for Arabic information retrieval, the intention being to identify the recent state-of-the-art of this burgeoning area. In this review, we primarily discuss statistical QE approaches that include document analysis, search, browse log analyses, and web knowledge analyses, in addition to the semantic QE approaches, which use semantic knowledge structures to extract meaningful word relationships. Finally, our conclusion is that QE regarding the Arabic language is subjected to additional investigation and research due to the intricate nature of this language.