• Title/Summary/Keyword: SearchEngine

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Design and Implementation of RSS feed search engine for Effective Contents Service (효과적인 콘텐츠 서비스를 위한 RSS피드 검색 엔진의 설계 및 구현)

  • Lee, Hae sung;Kwon, Joon Hee
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.4 no.1
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    • pp.1-8
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    • 2008
  • In the Web 2.0, besides more gaining information on the web, the number of web sites that take advantage of RSS increases explosively. Commonly each users search RSS channels through the web search engine before registering RSS channel's url to the RSS reader. Users judge whether the site is RSS channel or not and register an RSS channel's url through theirs interests. Because accomplished by users themselves, those processes conflict to user's convenience and quick consumption of information. Techniques of current search engines can't provide users with reliable RSS feed information as search results. In this paper, we analysis appropriateness of current search engines' techniques that offer users RSS feed search service and discuss their limitations. Also, we make up RSS feed database through classification of RSS tag being possible to search RSS feed information effectively and apply update rate of each RSS channel's feed to ranking algorithm providing more reliable search results.

Internet Search Engine: Technological Mode that Draws User's Attention to Make Its Expertise Reinforce (인터넷 검색엔진: 사용자의 관심을 흡수하여 전문성을 강화하는 기술)

  • Kim, Ji Yeon
    • Journal of Science and Technology Studies
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    • v.13 no.1
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    • pp.181-216
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    • 2013
  • This paper tries to analyze technologies of search engine generally, and reveal the additional modes of Korean search engine at the same time. Recently it said that search engine becomes a self-moving and is getting more strong power than the former one existed. There are many difference interpretative views from technological determination to instrumentalism surrounding this system. Search engine invents the technological mode that draws user's attention to make its own expertise reinforce. It is stemmed from the rationality of its own. Especially Korean search engine exposed unique mutation as self-proliferation of it during past a decade, as for example "related keyword" or "real-time popular keyword" service. Its automatic decision aroused democracy matter, now it is not only web guide. How we do make it to serve in democracy, accepting the independent expertise of it simultaneously? We might find new prospect when focusing on interactional modality between engine and human actor, instead counting both as a separate one.

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Spamming page filtering algorithm using Web structure management management (Web Structure Management기법을 이용한 Spamming page filtering algorithm)

  • 신광섭;이우기;강석호
    • Proceedings of the Korean Information Science Society Conference
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    • 2004.04b
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    • pp.238-240
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    • 2004
  • 정보 통신 기술의 발달로 엄청난 양의 정보가 World Wide Web을 통해 저장되고 공유된다. 특히, 사용자가 WWW을 이용하여 필요한 정보를 얻고자할 때, 가장 많이 사용되는 것이 Web search engine이다. 그러나 Web search engine의 algorithm 자체의 부정확성과 악의적으로 작성된 Web page로 인해 search engine 결과가 사용자의 요구와 일치하지 못하는 문제가 발생한다. 본 논문에서는 여러 Web search algorithm 중에서 Web structure management 기법을 중심으로 문제점을 분석하고 이를 해결할 수 있는 수정된 algorithm을 제시한다. 마지막으로 제시된 algorithm이 spamming page를 filtering하는 과정을 예시하여 논증한다.

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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.

Selection of Search Engine and the number of documents in Meta Search Engine to reduce network traffic (메타서치엔진에서 네트워크의 트래픽을 줄이기 위한 검색엔진의 선택 및 검색문서의 수 결정)

  • 이진호;박선진;박상호;남인길
    • Journal of Korea Society of Industrial Information Systems
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    • v.4 no.4
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    • pp.100-110
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    • 1999
  • The decision method for the selection of search engine and the number of returned documents for meta search engine proposed in this paper could provide a solution to reduce network traffic and to maintain the precision ratio. The experiments are performed to evaluate the proposed scheme using currently popular search engines and most frequently used queries.

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Effective Scheme for File Search Engine in Mobile Environments (모바일 환경에서 파일 검색 엔진을 위한 효과적인 방식)

  • Cho, Jong-Keun;Ha, Sang-Eun
    • The Journal of the Korea Contents Association
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    • v.8 no.11
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    • pp.41-48
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    • 2008
  • This study focuses on the modeling file search engine and suggesting modified file search schema based on weight value using file contents in order to improve the performance in terms of search accuracy and matching time. Most of the file search engines have used string matching algorithms like KMP(Knuth.Morris.Pratt), which may limit portability and fast searching time. However, this kind of algorithms don't find exactly the files what you want. Hence, the file search engine based on weight value using file contents is proposed here in order to optimize the performance for mobile environments. The Comparison with previous research shows that the proposed schema provides better.

Analysis of Search Engine Use, Search Behaviors and Aptitude by Web Users (웹 이용자의 검색엔진 활용 및 탐색 행위와 성향 분석)

  • Rieh, Hae-Young
    • Journal of the Korean Society for Library and Information Science
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    • v.36 no.3
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    • pp.69-91
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    • 2002
  • This study examines overall user experience associated with Web search engine use including selection, usage of search features, evaluation. The data were collected through individual interviews with 28 faculty members and graduate students. It was found that users tend to select a search engine based on experience and knowledge of certain features and familiarity with an engine itself more than based on previous experience with search results. The results showed the users had mixed opinions regarding cross language retrieval while they did not believe the usage of operators effect the search results. It appears that users are interested in interface design as well as the accuracy of search results.

A Study on Optimized Information Search Algorithm Using lava (Java를 이용한 정보 검색 최적화 알고리즘에 관한 연구)

  • 김용호;정종근;이윤배
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.6 no.6
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    • pp.797-804
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    • 2002
  • As internet use is being generalized central of WWW(World Wide Web) service of multimedia based recently, we could acquire many informations that exist to all over the world's computer network .Therefore, picking up of information became important problem before that internet is generalized, but it is risen to important problem to acquire correct information rapidly on modem society that use of internet is generalized. This paper designed internet search engine and understand structure of internet search engine drawing URL that is optimized, and secure embodiment technology using Java that is language of object base. Search engine that proposed in this paper maintained user's the convenience by offer keyword search, and simplify user interface And although quantity of searched information site is few, search engine show that the bad link rate of searched result is improved compare with existent domestic manufacture search engines.

Ontology-based User Customized Search Service Considering User Intention (온톨로지 기반의 사용자 의도를 고려한 맞춤형 검색 서비스)

  • Kim, Sukyoung;Kim, Gunwoo
    • Journal of Intelligence and Information Systems
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    • v.18 no.4
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    • pp.129-143
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    • 2012
  • Recently, the rapid progress of a number of standardized web technologies and the proliferation of web users in the world bring an explosive increase of producing and consuming information documents on the web. In addition, most companies have produced, shared, and managed a huge number of information documents that are needed to perform their businesses. They also have discretionally raked, stored and managed a number of web documents published on the web for their business. Along with this increase of information documents that should be managed in the companies, the need of a solution to locate information documents more accurately among a huge number of information sources have increased. In order to satisfy the need of accurate search, the market size of search engine solution market is becoming increasingly expended. The most important functionality among much functionality provided by search engine is to locate accurate information documents from a huge information sources. The major metric to evaluate the accuracy of search engine is relevance that consists of two measures, precision and recall. Precision is thought of as a measure of exactness, that is, what percentage of information considered as true answer are actually such, whereas recall is a measure of completeness, that is, what percentage of true answer are retrieved as such. These two measures can be used differently according to the applied domain. If we need to exhaustively search information such as patent documents and research papers, it is better to increase the recall. On the other hand, when the amount of information is small scale, it is better to increase precision. Most of existing web search engines typically uses a keyword search method that returns web documents including keywords which correspond to search words entered by a user. This method has a virtue of locating all web documents quickly, even though many search words are inputted. However, this method has a fundamental imitation of not considering search intention of a user, thereby retrieving irrelevant results as well as relevant ones. Thus, it takes additional time and effort to set relevant ones out from all results returned by a search engine. That is, keyword search method can increase recall, while it is difficult to locate web documents which a user actually want to find because it does not provide a means of understanding the intention of a user and reflecting it to a progress of searching information. Thus, this research suggests a new method of combining ontology-based search solution with core search functionalities provided by existing search engine solutions. The method enables a search engine to provide optimal search results by inferenceing the search intention of a user. To that end, we build an ontology which contains concepts and relationships among them in a specific domain. The ontology is used to inference synonyms of a set of search keywords inputted by a user, thereby making the search intention of the user reflected into the progress of searching information more actively compared to existing search engines. Based on the proposed method we implement a prototype search system and test the system in the patent domain where we experiment on searching relevant documents associated with a patent. The experiment shows that our system increases the both recall and precision in accuracy and augments the search productivity by using improved user interface that enables a user to interact with our search system effectively. In the future research, we will study a means of validating the better performance of our prototype system by comparing other search engine solution and will extend the applied domain into other domains for searching information such as portal.

A Study on Removal Request of Exposed Personal Information (노출된 개인정보의 삭제 요청에 관한 연구)

  • Jung, Bo-Reum;Jang, Byeong-Wook;Kim, In-Seok
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.15 no.6
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    • pp.37-42
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    • 2015
  • Although online search engine service provide a convenient means to search for information on the World Wide Web, it also poses a risk of disclosing privacy. Regardless of such risk, most of users are neither aware of their personal information being exposed on search results nor how to redress the issue by requesting removal of information. According to the 2015 parliamentary inspection of government offices, many government agencies were criticized for mishandling of personal information and its leakage on online search engine such as Google. Considering the fact that the personal information leakage via online search engine has drawn the attention at the government level, the online search engine and privacy issue needs to be rectified. This paper, by examining current online search engines, studies the degree of personal information exposure on online search results and its underlying issues. Lastly, based on research result, the paper provides a sound policy and direction to the removal of exposed personal information with respect to search engine service provider and user respectively.