• Title/Summary/Keyword: Web Searching

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A Segment Algorithm for Extracting Item Blocks based on Mobile Devices in the Web Contents (웹 콘텐츠에서 모바일 디바이스 기반 아이템 블록을 추출하기 위한 세그먼트 알고리즘)

  • Kim, Su-Do;Park, Tae-Jin;Park, Man-Gon
    • Journal of Korea Multimedia Society
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    • v.12 no.3
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    • pp.427-435
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    • 2009
  • Users are able to search and read interesting items and hence click hyperlink linked to the item which is detailed content unit such as menu, login, news, video, etc. Small screen like mobile device is very difficult to viewing all web contents at once. Browsing and searching for interesting items by scrolling to left and right or up and down is discomfort to users in small screen. Searching and displaying directly the item preferred by users can reduces difficulty of interface manipulation of mobile device. To archive it, web contents based on desktop will be segmented on a per-item basis which component unit of web contents. Most segment algorithms are based on segment method through analysis of HTML code or mobile size. However, it is difficult to extract item blocks. Because present web content is getting more complicated and diversified in structure and content like web portal services. A web content segment algorithm suggested in this paper is based on extracting item blocks is component units of web contents.

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Modeling a Multi-Agent based Web Mining System on the Hierarchical Web Environment (계층적 웹 환경에서의 멀티-에이전트 기반 웹 마이닝 시스템 설계)

  • Yoon, Hee-Byung;Kim, Hwa-Soo
    • Journal of the Korean Institute of Intelligent Systems
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    • v.13 no.6
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    • pp.643-648
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    • 2003
  • In order to provide efficient retrieving results for user query on the web environment, the various searching algorithms have developed and considered user's preference and convenience. However, the searching algorithms are developed on the horizontal and non hierarchical web environment in general and could not apply to the complex hierarchical and functional web environments such like the enterprise network. In this paper, we purpose the multi-agent based web mining system which can provide the efficient mining results to the user on the special web environment. For doing this, we suggest the network model with the hierarchical web environment and model the multi agent based web mining system which has four corporation agents and fourteen process modules. Then, we explain the detailed functions of each agent considered the hierarchical environment according to the module. Especially, we purpose the new merging agent and improved ranking algorithm by using the graph theory.

Design of Web Services Quality Description Model (웹 서비스 품질 기술 모델의 설계)

  • 윤석현;김동준;한상용
    • Proceedings of the CALSEC Conference
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    • 2003.09a
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    • pp.224-229
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    • 2003
  • A Web service is a software system designed to support interoperable machine-to-machine interaction over a network. These systems may then interact with the Web service in a manner prescribed by its definition, using XML based such as SOAP, WSDL, UDDI messages conveyed by Internet protocols. Especially, UDDI is the Web Services Registry enabling to register and search Web Services, that takes charge of providing infrastructure for Web Services. However, the existing UDDI has a few problems that searching process is very simple and it cannot provide information of Web Services quality and quality-based retrieval. Therefore, this study suggest the Web Services quality description model that evaluates the Web Services quality.

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An Implementation and Performance Evaluation of Fast Web Crawler with Python

  • Kim, Cheong Ghil
    • Journal of the Semiconductor & Display Technology
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    • v.18 no.3
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    • pp.140-143
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    • 2019
  • The Internet has been expanded constantly and greatly such that we are having vast number of web pages with dynamic changes. Especially, the fast development of wireless communication technology and the wide spread of various smart devices enable information being created at speed and changed anywhere, anytime. In this situation, web crawling, also known as web scraping, which is an organized, automated computer system for systematically navigating web pages residing on the web and for automatically searching and indexing information, has been inevitably used broadly in many fields today. This paper aims to implement a prototype web crawler with Python and to improve the execution speed using threads on multicore CPU. The results of the implementation confirmed the operation with crawling reference web sites and the performance improvement by evaluating the execution speed on the different thread configurations on multicore CPU.

Personalized web searching with Reinforcement Learning (강화학습을 사용한 개인화된 웹 검색)

  • 이승준;장병탁
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2001.12a
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    • pp.259-262
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    • 2001
  • 본 논문에서는 사용자의 취향에 맞춰 특정 웹 문서를 탐색하는 개인화된 웹 검색기의 구현을 다룬다. 사용자의 취향은 사용자의 직접적인 평가와 사용자의 검색 과정을 통해 얻어지는 간접적인 평가를 사용한 강화 학습을 사용하여 학습된다. 웹 문서의 검색은 사용자의 취향과 현재 문서와의 관련 도를 보상으로 사용한 강화 학습을 통하여 이루어진다.

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Efficient Blog Retrieval System by Topic-based Weighting (주제어 가중치 기법에 의한 효율적인 블로그 검색 시스템)

  • Shin, Hyeon-Il;Yun, Un-Il;Ryu, Keun-Ho
    • Journal of the Korea Society of Computer and Information
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    • v.15 no.4
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    • pp.1-9
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    • 2010
  • In the new generation of Web, commonly called "Web 2.0", blogging has facilitated the publishing information or his/her opinion on the web. Various blog retrieval algorithms have been proposed to search for blogs more effectively. However, actually keyword-based searching or link-analysis blog ranking system cannot satisfy the user's requirement. In this paper, we suggest a topic-based weighting blog retrieval system in which the links between blog writings and searching words are considered to improve the search results. Our system extracts topics from each blog and weights them much higher than other guide words. In the comparison with other systems, we see that the proposed topic-base system has better recall rate of search results.

A Personalized Recommender System, WebCF-PT: A Collaborative Filtering using Web Mining and Product Taxonomy (개인별 상품추천시스템, WebCF-PT: 웹마이닝과 상품계층도를 이용한 협업필터링)

  • Kim, Jae-Kyeong;Ahn, Do-Hyun;Cho, Yoon-Ho
    • Asia pacific journal of information systems
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    • v.15 no.1
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    • pp.63-79
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    • 2005
  • Recommender systems are a personalized information filtering technology to help customers find the products they would like to purchase. Collaborative filtering is known to be the most successful recommendation technology, but its widespread use has exposed some problems such as sparsity and scalability in the e-business environment. In this paper, we propose a recommendation system, WebCF-PT based on Web usage mining and product taxonomy to enhance the recommendation quality and the system performance of traditional CF-based recommender systems. Web usage mining populates the rating database by tracking customers' shopping behaviors on the Web, so leading to better quality recommendations. The product taxonomy is used to improve the performance of searching for nearest neighbors through dimensionality reduction of the rating database. A prototype recommendation system, WebCF-PT is developed and Internet shopping mall, EBIB(e-Business & Intelligence Business) is constructed to test the WebCF-PT system.

Implementation of Information Retrieval and Management System Based on Ontology Using Object Oriented Design Pattern (객체지향 설계 유형에 의한 온톨로지 기반 정보검색 및 관리시스템 구현)

  • Lee, Hong-Ro
    • Journal of the Korean Association of Geographic Information Studies
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    • v.12 no.4
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    • pp.146-157
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    • 2009
  • In order to implement ontology data searching system, this paper uses some methods that effectively analyse searching options/key words with event process model and design pattern. I will propose some techniques on object-oriented process model that should improve reusability of system and reusability of ontology data which users can obtain more precise searching results. This paper shows that ontology-based data searching can assure users of the precision of searching results. Therefore, ontology-based data searching system on object-oriented design pattern is expected to show high stability and reliability, enhance reusability and scalability of modules and softwares and provide reliable data searching results to users.

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A Design and Implementation of Heterogeneous Metadata Searching System using Ontology (Ontology를 이용한 이종 메타데이터 검색 시스템의 설계 및 구현)

  • Choe, Hyun-Jong;Kim, Tae-Young
    • Journal of The Korean Association of Information Education
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    • v.8 no.3
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    • pp.353-360
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    • 2004
  • World Wide Web is not more meaningless sea of information but is becoming the Semantic Web that provides many users with meaningful information. The starting point is the XML and metadata, RDF is a stopover which gives technique to relate arbitrary web resources. And now, the semantic and logic of web resources can be settled in the Ontology. A lot of educational multimedia web resources in Korea have produced their metadata with KERIS's KEM(Korea Educational Metadata). Therefore our country have to start the study of the semantic and logic in web resources. But, many researchers in Korea are more eager to study Dublin Core's DC and SCORM's LOM metadata specification than KEM. Thus the study of method about sharing and integrating these three metadata specifications should be performed before the study of semantic and logic in web resources in Korea. We design the Ontology to integrate these three metadata specifications and implement the prototype system using this Ontology. These three metadata have some elements that have same labels and meanings, and other elements have different labels and same meanings. To match these different labels which have same meanings, we adapted the one-to-one mapping technique in designing our Ontology. This designed Ontology was imported as "integrated schema" in our prototype searching system to integrate three different metadata in databases. Moreover we know that the more specific property design of class in Ontology was needed in order to provide users with more informed searching results such as synonym, antonym, hierarchy and associations.

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A Study on IoT information Generation Tool for User Defined Web Services (사용자 정의 웹 서비스를 위한 IoT 정보 자동생성 도구에 관한 연구)

  • Sim, Sungho
    • Journal of Digital Convergence
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    • v.16 no.11
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    • pp.329-334
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    • 2018
  • Web services are standardized software technologies that enable interoperability of operating systems and programming languages through networks and related standards. Web services are distributed computing services that provide and discover services making it possible to access various services. Since the search method of web service considers only the functional aspect, it has a limitation on user-oriented search when selecting a service. In order to solve these problems, this study proposes an automatic IoT information generation tool, and provides IoT extension information when searching a web service, thereby improving the problem so that a suitable service can be selected for a user. Automatic IoT extension information generation tool proposed in this study collects and stores various information generated in the process of sensing, networking, and information processing by collaborating autonomously in a distributed environment of user, object, and service. The proposed method supports the service search suitable for the user by providing the information generated by the user as extended information when searching the web service. The proposed method can be applied to the 4th industry sector to provide a customized service that meets various environment requirements.