Search (654 results, page 1 of 33)

  • × theme_ss:"Suchmaschinen"
  1. Li, L.; Shang, Y.; Zhang, W.: Improvement of HITS-based algorithms on Web documents 0.36
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    Content
    Vgl.: http%3A%2F%2Fdelab.csd.auth.gr%2F~dimitris%2Fcourses%2Fir_spring06%2Fpage_rank_computing%2Fp527-li.pdf. Vgl. auch: http://www2002.org/CDROM/refereed/643/.
  2. Bradley, P.: Advanced Internet searcher's handbook (1998) 0.02
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    Footnote
    Rez. in: Information world review. 1999, no.146, S.26 (D. Parr)
    LCSH
    World Wide Web (Information retrieval system)
    Information retrieval
    Subject
    World Wide Web (Information retrieval system)
    Information retrieval
  3. Garcés, P.J.; Olivas, J.A.; Romero, F.P.: Concept-matching IR systems versus word-matching information retrieval systems : considering fuzzy interrelations for indexing Web pages (2006) 0.02
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    Abstract
    This article presents a semantic-based Web retrieval system that is capable of retrieving the Web pages that are conceptually related to the implicit concepts of the query. The concept of concept is managed from a fuzzy point of view by means of semantic areas. In this context, the proposed system improves most search engines that are based on matching words. The key of the system is to use a new version of the Fuzzy Interrelations and Synonymy-Based Concept Representation Model (FIS-CRM) to extract and represent the concepts contained in both the Web pages and the user query. This model, which was integrated into other tools such as the Fuzzy Interrelations and Synonymy based Searcher (FISS) metasearcher and the fz-mail system, considers the fuzzy synonymy and the fuzzy generality interrelations as a means of representing word interrelations (stored in a fuzzy synonymy dictionary and ontologies). The new version of the model, which is based on the study of the cooccurrences of synonyms, integrates a soft method for disambiguating word senses. This method also considers the context of the word to be disambiguated and the thematic ontologies and sets of synonyms stored in the dictionary.
    Date
    22. 7.2006 17:14:12
    Footnote
    Beitrag in einer Special Topic Section on Soft Approaches to Information Retrieval and Information Access on the Web
    Source
    Journal of the American Society for Information Science and Technology. 57(2006) no.4, S.564-576
  4. Ardo, A.; Lundberg, S.: ¬A regional distributed WWW search and indexing service : the DESIRE way (1998) 0.02
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    Abstract
    Creates an open, metadata aware system for distributed, collaborative WWW indexing. The system has 3 main components: a harvester (for collecting information), a database (for making the collection searchable), and a user interface (for making the information available). all components can be distributed across networked computers, thus supporting scalability. The system is metadata aware and thus allows searches on several fields including title, document author and URL. Nordic Web Index (NWI) is an application using this system to create a regional Nordic Web-indexing service. NWI is built using 5 collaborating service points within the Nordic countries. The NWI databases can be used to build additional services
    Date
    1. 8.1996 22:08:06
    Theme
    Klassifikationssysteme im Online-Retrieval
  5. Park, E.-K.; Ra, D.-Y.; Jang, M.-G.: Techniques for improving web retrieval effectiveness (2005) 0.02
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    Abstract
    This paper talks about several schemes for improving retrieval effectiveness that can be used in the named page finding tasks of web information retrieval (Overview of the TREC-2002 web track. In: Proceedings of the Eleventh Text Retrieval Conference TREC-2002, NIST Special Publication #500-251, 2003). These methods were applied on top of the basic information retrieval model as additional mechanisms to upgrade the system. Use of the title of web pages was found to be effective. It was confirmed that anchor texts of incoming links was beneficial as suggested in other works. Sentence-query similarity is a new type of information proposed by us and was identified to be the best information to take advantage of. Stratifying and re-ranking the retrieval list based on the maximum count of index terms in common between a sentence and a query resulted in significant improvement of performance. To demonstrate these facts a large-scale web information retrieval system was developed and used for experimentation.
    Source
    Information processing and management. 41(2005) no.5, S.1207-1224
  6. Chen, L.-C.: Next generation search engine for the result clustering technology (2012) 0.02
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    Abstract
    Result clustering has recently attracted a lot of attention to provide the users with a succinct overview of relevant search results than traditional search engines. This chapter proposes a mixed clustering method to organize all returned search results into a hierarchical tree structure. The clustering method accomplishes two main tasks, one is label construction and the other is tree building. This chapter uses precision to measure the quality of clustering results. According to the results of experiments, the author preliminarily concluded that the performance of the system is better than many other well-known commercial and academic systems. This chapter makes several contributions. First, it presents a high performance system based on the clustering method. Second, it develops a divisive hierarchical clustering algorithm to organize all returned snippets into hierarchical tree structure. Third, it performs a wide range of experimental analyses to show that almost all commercial systems are significantly better than most current academic systems.
    Date
    17. 4.2012 15:22:11
    Source
    Next generation search engines: advanced models for information retrieval. Eds.: C. Jouis, u.a
  7. Mooney, G.; John, R.: Intelligent information retrieval from the World Wide Web using fuzzy user modelling (1997) 0.01
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    Abstract
    Investigates the application of fuzzy logic and user modelling to information retrieval (IR) from the WWW. To overcome existing problems IR systems must become 'intelligent'. User modelling is employed in the form of user stereotypes represented as adaptive fuzzy sets. This novel approach is applied to query formulation. The results of using this approach in a prototype system are reported. In the system a query is refined before it is submitted to an existing WWW search engine. Results from a user study show that the prototype system improves upon the performance of the search engine alone
    Source
    Electronic library and visual information research: Proceedings of the 4th ELVIRA Conference (ELVIRA 4), Electronic Library and Visual Information Research, De Montfort University, Milton Keynes, May 1997. Ed. by C. Davies u. A. Ramsden
  8. Zeynali-Tazehkandi, M.; Nowkarizi, M.: ¬ A dialectical approach to search engine evaluation (2020) 0.01
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    Abstract
    Evaluation of information retrieval systems is a fundamental topic in Library and Information Science. The aim of this paper is to connect the system-oriented and the user-oriented approaches to relevant philosophical schools. By reviewing the related literature, it was found that the evaluation of information retrieval systems is successful if it benefits from both system-oriented and user-oriented approaches (composite). The system-oriented approach is rooted in Parmenides' philosophy of stability (immovable) which Plato accepts and attributes to the world of forms; the user-oriented approach is rooted in Heraclitus' flux philosophy (motion) which Plato defers and attributes to the tangible world. Thus, using Plato's theory is a comprehensive approach for recognizing the concept of relevance. The theoretical and philosophical foundations determine the type of research methods and techniques. Therefore, Plato's dialectical method is an appropriate composite method for evaluating information retrieval systems.
  9. Gossen, T.: Search engines for children : search user interfaces and information-seeking behaviour (2016) 0.01
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    Abstract
    The doctoral thesis of Tatiana Gossen formulates criteria and guidelines on how to design the user interfaces of search engines for children. In her work, the author identifies the conceptual challenges based on own and previous user studies and addresses the changing characteristics of the users by providing a means of adaptation. Additionally, a novel type of search result visualisation for children with cartoon style characters is developed taking children's preference for visual information into account.
    Content
    Inhalt: Acknowledgments; Abstract; Zusammenfassung; Contents; List of Figures; List of Tables; List of Acronyms; Chapter 1 Introduction ; 1.1 Research Questions; 1.2 Thesis Outline; Part I Fundamentals ; Chapter 2 Information Retrieval for Young Users ; 2.1 Basics of Information Retrieval; 2.1.1 Architecture of an IR System; 2.1.2 Relevance Ranking; 2.1.3 Search User Interfaces; 2.1.4 Targeted Search Engines; 2.2 Aspects of Child Development Relevant for Information Retrieval Tasks; 2.2.1 Human Cognitive Development; 2.2.2 Information Processing Theory; 2.2.3 Psychosocial Development 2.3 User Studies and Evaluation2.3.1 Methods in User Studies; 2.3.2 Types of Evaluation; 2.3.3 Evaluation with Children; 2.4 Discussion; Chapter 3 State of the Art ; 3.1 Children's Information-Seeking Behaviour; 3.1.1 Querying Behaviour; 3.1.2 Search Strategy; 3.1.3 Navigation Style; 3.1.4 User Interface; 3.1.5 Relevance Judgement; 3.2 Existing Algorithms and User Interface Concepts for Children; 3.2.1 Query; 3.2.2 Content; 3.2.3 Ranking; 3.2.4 Search Result Visualisation; 3.3 Existing Information Retrieval Systems for Children; 3.3.1 Digital Book Libraries; 3.3.2 Web Search Engines 3.4 Summary and DiscussionPart II Studying Open Issues ; Chapter 4 Usability of Existing Search Engines for Young Users ; 4.1 Assessment Criteria; 4.1.1 Criteria for Matching the Motor Skills; 4.1.2 Criteria for Matching the Cognitive Skills; 4.2 Results; 4.2.1 Conformance with Motor Skills; 4.2.2 Conformance with the Cognitive Skills; 4.2.3 Presentation of Search Results; 4.2.4 Browsing versus Searching; 4.2.5 Navigational Style; 4.3 Summary and Discussion; Chapter 5 Large-scale Analysis of Children's Queries and Search Interactions; 5.1 Dataset; 5.2 Results; 5.3 Summary and Discussion Chapter 6 Differences in Usability and Perception of Targeted Web Search Engines between Children and Adults 6.1 Related Work; 6.2 User Study; 6.3 Study Results; 6.4 Summary and Discussion; Part III Tackling the Challenges ; Chapter 7 Search User Interface Design for Children ; 7.1 Conceptual Challenges and Possible Solutions; 7.2 Knowledge Journey Design; 7.3 Evaluation; 7.3.1 Study Design; 7.3.2 Study Results; 7.4 Voice-Controlled Search: Initial Study; 7.4.1 User Study; 7.5 Summary and Discussion; Chapter 8 Addressing User Diversity ; 8.1 Evolving Search User Interface 8.1.1 Mapping Function8.1.2 Evolving Skills; 8.1.3 Detection of User Abilities; 8.1.4 Design Concepts; 8.2 Adaptation of a Search User Interface towards User Needs; 8.2.1 Design & Implementation; 8.2.2 Search Input; 8.2.3 Result Output; 8.2.4 General Properties; 8.2.5 Configuration and Further Details; 8.3 Evaluation; 8.3.1 Study Design; 8.3.2 Study Results; 8.3.3 Preferred UI Settings; 8.3.4 User satisfaction; 8.4 Knowledge Journey Exhibit; 8.4.1 Hardware; 8.4.2 Frontend; 8.4.3 Backend; 8.5 Summary and Discussion; Chapter 9 Supporting Visual Searchers in Processing Search Results 9.1 Related Work
    Date
    1. 2.2016 18:25:22
    LCSH
    Information storage and retrieval
    Subject
    Information storage and retrieval
  10. Chaudiron, S.; Ihadjadene, M.: Studying Web search engines from a user perspective : key concepts and main approaches (2012) 0.01
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    Abstract
    This chapter shows that the wider use of Web search engines, reconsidering the theoretical and methodological frameworks to grasp new information practices. Beginning with an overview of the recent challenges implied by the dynamic nature of the Web, this chapter then traces the information behavior related concepts in order to present the different approaches from the user perspective. The authors pay special attention to the concept of "information practice" and other related concepts such as "use", "activity", and "behavior" largely used in the literature but not always strictly defined. The authors provide an overview of user-oriented studies that are meaningful to understand the different contexts of use of electronic information access systems, focusing on five approaches: the system-oriented approaches, the theories of information seeking, the cognitive and psychological approaches, the management science approaches, and the marketing approaches. Future directions of work are then shaped, including social searching and the ethical, cultural, and political dimensions of Web search engines. The authors conclude considering the importance of Critical theory to better understand the role of Web Search engines in our modern society.
    Date
    20. 4.2012 13:22:37
    Source
    Next generation search engines: advanced models for information retrieval. Eds.: C. Jouis, u.a
  11. Markey, K.: Twenty-five years of end-user searching : part 2: future research directions (2007) 0.01
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    Abstract
    This is the second part of a two-part article that examines 25 years of published research findings on end-user searching of online information retrieval (IR) systems. In Part 1, it was learned that people enter a few short search statements into online IR systems. Their searches do not resemble the systematic approach of expert searchers who use the full range of IR-system functionality. Part 2 picks up the discussion of research findings about end-user searching in the context of current information retrieval models. These models demonstrate that information retrieval is a complex event, involving changes in cognition, feelings, and/or events during the information seeking process. The author challenges IR researchers to design new studies of end-user searching, collecting data not only on system-feature use, but on multiple search sessions and controlling for variables such as domain knowledge expertise and expert system knowledge. Because future IR systems designers are likely to improve the functionality of online IR systems in response to answers to the new research questions posed here, the author concludes with advice to these designers about retaining the simplicity of online IR system interfaces.
    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.8, S.1123-1130
  12. Horch, A.; Kett, H.; Weisbecker, A.: Semantische Suchsysteme für das Internet : Architekturen und Komponenten semantischer Suchmaschinen (2013) 0.01
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    RSWK
    Suchmaschine / Semantic Web / Information Retrieval
    Suchmaschine / Information Retrieval / Ranking / Datenstruktur / Kontextbezogenes System
    Subject
    Suchmaschine / Semantic Web / Information Retrieval
    Suchmaschine / Information Retrieval / Ranking / Datenstruktur / Kontextbezogenes System
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  13. Peereboom, M.: DutchESS : Dutch Electronic Subject Service - a Dutch national collaborative effort (2000) 0.01
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    Abstract
    This article gives an overview of the design and organisation of DutchESS, a Dutch information subject gateway created as a national collaborative effort of the National Library and a number of academic libraries. The combined centralised and distributed model of DutchESS is discussed, as well as its selection policy, its metadata format, classification scheme and retrieval options. Also some options for future collaboration on an international level are explored
    Date
    22. 6.2002 19:39:23
    Source
    Online information review. 24(2000) no.1, S.46-48
    Theme
    Information Gateway
    Klassifikationssysteme im Online-Retrieval
  14. Hübener, M.: Suchmaschinenoptimierung kompakt : anwendungsorientierte Techniken für die Praxis (2009) 0.01
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    RSWK
    Suchmaschine / Information-Retrieval-System / Optimierung
    Subject
    Suchmaschine / Information-Retrieval-System / Optimierung
  15. Ding, L.; Finin, T.; Joshi, A.; Peng, Y.; Cost, R.S.; Sachs, J.; Pan, R.; Reddivari, P.; Doshi, V.: Swoogle : a Semantic Web search and metadata engine (2004) 0.01
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    Abstract
    Swoogle is a crawler-based indexing and retrieval system for the Semantic Web, i.e., for Web documents in RDF or OWL. It extracts metadata for each discovered document, and computes relations between documents. Discovered documents are also indexed by an information retrieval system which can use either character N-Gram or URIrefs as keywords to find relevant documents and to compute the similarity among a set of documents. One of the interesting properties we compute is rank, a measure of the importance of a Semantic Web document.
    Source
    CIKM '04 Proceedings of the thirteenth ACM international conference on Information and knowledge management
  16. Bouidghaghen, O.; Tamine, L.: Spatio-temporal based personalization for mobile search (2012) 0.01
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    Abstract
    The explosion of the information available on the Internet has made traditional information retrieval systems, characterized by one size fits all approaches, less effective. Indeed, users are overwhelmed by the information delivered by such systems in response to their queries, particularly when the latter are ambiguous. In order to tackle this problem, the state-of-the-art reveals that there is a growing interest towards contextual information retrieval (CIR) which relies on various sources of evidence issued from the user's search background and environment, in order to improve the retrieval accuracy. This chapter focuses on mobile context, highlights challenges they present for IR, and gives an overview of CIR approaches applied in this environment. Then, the authors present an approach to personalize search results for mobile users by exploiting both cognitive and spatio-temporal contexts. The experimental evaluation undertaken in front of Yahoo search shows that the approach improves the quality of top search result lists and enhances search result precision.
    Date
    20. 4.2012 13:19:22
    Source
    Next generation search engines: advanced models for information retrieval. Eds.: C. Jouis, u.a
  17. Su, L.T.: ¬A comprehensive and systematic model of user evaluation of Web search engines : I. Theory and background (2003) 0.01
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    Abstract
    The project proposes and tests a comprehensive and systematic model of user evaluation of Web search engines. The project contains two parts. Part I describes the background and the model including a set of criteria and measures, and a method for implementation. It includes a literature review for two periods. The early period (1995-1996) portrays the settings for developing the model and the later period (1997-2000) places two applications of the model among contemporary evaluation work. Part II presents one of the applications that investigated the evaluation of four major search engines by 36 undergraduates from three academic disciplines. It reports results from statistical analyses of quantitative data for the entire sample and among disciplines, and content analysis of verbal data containing users' reasons for satisfaction. The proposed model aims to provide systematic feedback to engine developers or service providers for system improvement and to generate useful insight for system design and tool choice. The model can be applied to evaluating other compatible information retrieval systems or information retrieval (IR) techniques. It intends to contribute to developing a theory of relevance that goes beyond topicality to include value and usefulness for designing user-oriented information retrieval systems.
    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.13, S.1175-1192
  18. Hoeber, O.: Human-centred Web search (2012) 0.01
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    Abstract
    People commonly experience difficulties when searching the Web, arising from an incomplete knowledge regarding their information needs, an inability to formulate accurate queries, and a low tolerance for considering the relevance of the search results. While simple and easy to use interfaces have made Web search universally accessible, they provide little assistance for people to overcome the difficulties they experience when their information needs are more complex than simple fact-verification. In human-centred Web search, the purpose of the search engine expands from a simple information retrieval engine to a decision support system. People are empowered to take an active role in the search process, with the search engine supporting them in developing a deeper understanding of their information needs, assisting them in crafting and refining their queries, and aiding them in evaluating and exploring the search results. In this chapter, recent research in this domain is outlined and discussed.
    Source
    Next generation search engines: advanced models for information retrieval. Eds.: C. Jouis, u.a
  19. Hancock, B.: Subject-specific search engines : using the Harvest system to gather and maintain information on the Internet (1998) 0.01
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    Abstract
    The increasing expansion of the Internet has made resources available to users in sometimes unmanageable abundance. To help users manage this proliferation of information, librarians have begun to add URLs to their home pages. As well, specialized search engines are being used to retrieve information from selected sources in aneffort to return pertinent results. Describes the Harvest system which has been used to develop Index Antiquus, a specialized engine, for the classics and mediaeval studies. Presents a working example of how to search Index Antiquus
    Date
    6. 3.1997 16:22:15
  20. Mauldin, M.L.: Lycos : design choices in an Internet search service (1997) 0.01
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    Abstract
    1st part of a 2 part section on search engines for the WWW. Describes use of Lycos for collection, storing and retrieving information about pages on the WWW. Outlines its history and precursors. Discusses the design choices made in its creation, and briefly examines the issues involved in making a very large retrieval system

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