• Title/Summary/Keyword: Document Search

Search Result 383, Processing Time 0.024 seconds

Efficient Web Document Search based on Users' Understanding Levels (사용자의 이해수준에 따른 효율적인 웹문서 검색)

  • Shim, Sang-Hee;Lee, Soo-Jung
    • Journal of KIISE:Computing Practices and Letters
    • /
    • v.15 no.1
    • /
    • pp.38-46
    • /
    • 2009
  • With the rapid increase in the number of Web documents, the problem of information overload is growing more serious in Internet search. In order to ease the problem, researchers are paying attention to personalization, which creates Web environment fittingly for users' preference, but most of search engines produce results focused on users' queries. Thus, the present study examined the method of producing search results personalized based on a user's understanding level. A characteristic that differentiates this study from previous researches is that it considers users' understanding level and searches documents of difficulty fit for the level first. The difficulty level of a document is adjusted based on the understanding level of users who access the document, and a user's understanding level is updated periodically based on the difficulty of documents accessed by the user. A Web search system based on the results of this study is expected to bring very useful results to Web users of various age groups.

Blog Search Method using User Relevance Feedback and Guru Estimation (사용자 적합성 피드백과 구루 평가 점수를 고려한 블로그 검색 방법)

  • Jeong, Kyung-Seok;Park, Hyuk-Ro
    • The KIPS Transactions:PartB
    • /
    • v.15B no.5
    • /
    • pp.487-492
    • /
    • 2008
  • Most Web search engines use ranking methods that take both the relevancy and the importance of documents into consideration. The importance of a document denotes the degree of usefulness of the document to general users. One of the most successful methods for estimating the importance of a document has been Page-Rank algorithm which uses the hyperlink structure of the Web for the estimation. In this paper, we propose a new importance estimation algorithm for the blog environment. The proposed method, first, calculates the importance of each document using user's bookmark and click count. Then, the Guru point of a blogger is computed as the sum of all importance points of documents which he/she wrote. Finally, the guru points are reflected in document ranking again. Our experiments show that the proposed method has higher correlation coefficient than the traditional methods with respect to correct answers.

A Study on the Effect of Data Fusion on the Retrieval Effectiveness of Web Documents (데이터 결합이 웹 문서 검색성능에 미치는 영향 연구)

  • Park, Ok-Hwa;Chung, Young-Mee
    • Journal of Information Management
    • /
    • v.38 no.1
    • /
    • pp.1-19
    • /
    • 2007
  • This study investigates the effect of data fusion on the retrieval effectiveness by performing an experiment combining multiple representations of Web documents. The types of document representation combined in the study include content terms, links, anchor text, and URL. The experimental results showed that the data fusion technique combining document representation methods in Web environment did not bring any significant improvement in retrieval effectiveness.

History Document Image Background Noise and Removal Methods

  • Ganchimeg, Ganbold
    • International Journal of Knowledge Content Development & Technology
    • /
    • v.5 no.2
    • /
    • pp.11-24
    • /
    • 2015
  • It is common for archive libraries to provide public access to historical and ancient document image collections. It is common for such document images to require specialized processing in order to remove background noise and become more legible. Document images may be contaminated with noise during transmission, scanning or conversion to digital form. We can categorize noises by identifying their features and can search for similar patterns in a document image to choose appropriate methods for their removal. In this paper, we propose a hybrid binarization approach for improving the quality of old documents using a combination of global and local thresholding. This article also reviews noises that might appear in scanned document images and discusses some noise removal methods.

Keyword Analysis Based Document Compression System

  • Cao, Kerang;Lee, Jongwon;Jung, Hoekyung
    • Journal of information and communication convergence engineering
    • /
    • v.16 no.1
    • /
    • pp.48-51
    • /
    • 2018
  • The traditional documents analysis was centered on words based system was implemented using a morpheme analyzer. These traditional systems can classify used words in the document but, cannot help to user's document understanding or analysis. In this problem solved, System needs extract for most valuable paragraphs what can help to user understanding documents. In this paper, we propose system extracts paragraphs of normalized XML document. User insert to system what filename when wants for analyze XML document. Then, system is search for keyword of the document. And system shows results searched keyword. When user choice and inserts keyword for user wants then, extracting for paragraph including keyword. After extracting paragraph, system operating maintenance paragraph sequence and check duplication. If exist duplication then, system deletes paragraph of duplication. And system informs result to user what counting each keyword frequency and weight to user, sorted paragraphs.

AN EFFICIENT DENSITY BASED ANT COLONY APPROACH ON WEB DOCUMENT CLUSTERING

  • M. REKA
    • Journal of applied mathematics & informatics
    • /
    • v.41 no.6
    • /
    • pp.1327-1339
    • /
    • 2023
  • World Wide Web (WWW) use has been increasing recently due to users needing more information. Lately, there has been a growing trend in the document information available to end users through the internet. The web's document search process is essential to find relevant documents for user queries.As the number of general web pages increases, it becomes increasingly challenging for users to find records that are appropriate to their interests. However, using existing Document Information Retrieval (DIR) approaches is time-consuming for large document collections. To alleviate the problem, this novel presents Spatial Clustering Ranking Pattern (SCRP) based Density Ant Colony Information Retrieval (DACIR) for user queries based DIR. The proposed first stage is the Term Frequency Weight (TFW) technique to identify the query weightage-based frequency. Based on the weight score, they are grouped and ranked using the proposed Spatial Clustering Ranking Pattern (SCRP) technique. Finally, based on ranking, select the most relevant information retrieves the document using DACIR algorithm.The proposed method outperforms traditional information retrieval methods regarding the quality of returned objects while performing significantly better in run time.

A Search Method for Components Based-on XML Component Specification (XML 컴포넌트 명세서 기반의 컴포넌트 검색 기법)

  • Park, Seo-Young;Shin, Yoeng-Gil;Wu, Chi-Su
    • Journal of KIISE:Software and Applications
    • /
    • v.27 no.2
    • /
    • pp.180-192
    • /
    • 2000
  • Recently, the component technology has played a main role in software reuse. It has changed the code-based reuse into the binary code-based reuse, because components can be easily combined into the developing software only through component interfaces. Since components and component users have increased rapidly, it is necessary that the users of components search for the most proper components for HTML among the enormous number of components on the Internet. It is desirable to use web-document-typed specifications for component specifications on the Internet. This paper proposes to use XML component specifications instead of HTML specifications, because it is impossible to represent the semantics of contexts using HTML. We also propose the XML context-search method based on XML component specifications. Component users use the contexts for the component properties and the terms for the values of component properties in their queries for searching components. The index structure for the context-based search method is the inverted file indexing structure of term-context-component specification. Not only an XML context-based search method but also a variety of search methods based on context-based search, such as keyword, search, faceted search, and browsing search method, are provided for the convenience of users. We use the 3-layer architecture, with an interface layer, a query expansion layer, and an XML search engine layer, of the search engine for the efficient index scheme. In this paper, an XML DTD(Document Type Definition) for component specification is defined and the experimental results of comparing search performance of XML with HTML are discussed.

  • PDF

New Data Model for Efficient Search and Reusability of XML Documents (XML 문서의 효율적인 검색과 재사용성을 지원하는 데이터 모델)

  • Kim Eun-Young;Chun Se-Hak
    • Journal of Intelligence and Information Systems
    • /
    • v.10 no.3
    • /
    • pp.27-37
    • /
    • 2004
  • XML has been proposed as a document standard for the representation and exchange of data on the WWW, and also becoming a standard for the search and reuse of scattered documents. When implementing a XML contents management system, special consideration should be imposed on how to model data and how to store the modelled data for effective and efficient management of the semi-structured data. In this paper, we proposed a new data model for the storage and search of XML document data. This proposed data model could represent both of data and structure views of XML documents, and be applied to the new data system for XML documents as well as the existing data systems.

  • PDF

Design of XQL Query Processing System for Structural information retrieval (구조적 정보 검색을 위한 XQL 질의 처리 시스템 설계)

  • 김상영;김철원;김광현;박종훈;정현철
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2003.10a
    • /
    • pp.892-896
    • /
    • 2003
  • XML is used in various fields such as interface format for data swapping between application between several various system passing over thing to mark to web browser simply. Accordingly, a lot of studies about system that can manage effectively and search XML document with formation of information, reusability, disposal and durability, portability are proceeding. In this paper, explain about XQL and document structure processor and language processor of quality and make contents of XML document by tree structure, structure information presents method that find XML document tree structure information that is correct on question using XQL while do parsing. Through this, described for design and embodiment of efficient XML document search system that use XQL that compose structure information of document in tree structure and is proposed in language of quality after do parsing absorbing XML document that is scattered on web.

  • PDF

Multimedia documents for user interfaces of cooperative work (공동 작업을 위한 사용자 인터페이스로서의 멀티미디어 문서)

  • 성미영
    • Proceedings of the ESK Conference
    • /
    • 1995.10a
    • /
    • pp.46-55
    • /
    • 1995
  • The multimedia documents becomes the most natural user interface for CSCW(Conputer Supported Cooperative Work) in distributed environment. The objective of this study is to propose a multimedia document architecture and to develop a system that can manage it well. The new architecture is for revisable documents and is the basic layer for hypermedia documents. A good document architecture for CSCW must support pointing, marking, and editing over a part of documents. The user views, version control, and full- content search are also desirable features. In this paper, we discuss the basic concept of a new document architecture for CSCW. We also present the user interfaces for spatio-temporal compositions of multimedia documents.

  • PDF