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  1. Berry, M.W.; Browne, M.: Understanding search engines : mathematical modeling and text retrieval (1999) 0.30 
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    Abstract
    This book discusses many of the key design issues for building search engines and emphazises the important role that applied mathematics can play in improving information retrieval. The authors discuss not only important data structures, algorithms, and software but also user-centered issues such as interfaces, manual indexing, and document preparation. They also present some of the current problems in information retrieval that many not be familiar to applied mathematicians and computer scientists and some of the driving computational methods (SVD, SDD) for automated conceptual indexing
    RSWK
    Suchmaschine / Information Retrieval
    World Wide Web / Suchmaschine / Mathematisches Modell (BVB)
    Suchmaschine / Information Retrieval / Mathematisches Modell (HEBIS)
    Subject
    Suchmaschine / Information Retrieval
    World Wide Web / Suchmaschine / Mathematisches Modell (BVB)
    Suchmaschine / Information Retrieval / Mathematisches Modell (HEBIS)
  2. Li, L.; Shang, Y.; Zhang, W.: Improvement of HITS-based algorithms on Web documents 0.20 
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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/.
  3. Berry, M.W.; Browne, M.: Understanding search engines : mathematical modeling and text retrieval (2005) 0.15 
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    Abstract
    The second edition of Understanding Search Engines: Mathematical Modeling and Text Retrieval follows the basic premise of the first edition by discussing many of the key design issues for building search engines and emphasizing the important role that applied mathematics can play in improving information retrieval. The authors discuss important data structures, algorithms, and software as well as user-centered issues such as interfaces, manual indexing, and document preparation. Significant changes bring the text up to date on current information retrieval methods: for example the addition of a new chapter on link-structure algorithms used in search engines such as Google. The chapter on user interface has been rewritten to specifically focus on search engine usability. In addition the authors have added new recommendations for further reading and expanded the bibliography, and have updated and streamlined the index to make it more reader friendly.
    Content
    Inhalt: Introduction Document File Preparation - Manual Indexing - Information Extraction - Vector Space Modeling - Matrix Decompositions - Query Representations - Ranking and Relevance Feedback - Searching by Link Structure - User Interface - Book Format Document File Preparation Document Purification and Analysis - Text Formatting - Validation - Manual Indexing - Automatic Indexing - Item Normalization - Inverted File Structures - Document File - Dictionary List - Inversion List - Other File Structures Vector Space Models Construction - Term-by-Document Matrices - Simple Query Matching - Design Issues - Term Weighting - Sparse Matrix Storage - Low-Rank Approximations Matrix Decompositions QR Factorization - Singular Value Decomposition - Low-Rank Approximations - Query Matching - Software - Semidiscrete Decomposition - Updating Techniques Query Management Query Binding - Types of Queries - Boolean Queries - Natural Language Queries - Thesaurus Queries - Fuzzy Queries - Term Searches - Probabilistic Queries Ranking and Relevance Feedback Performance Evaluation - Precision - Recall - Average Precision - Genetic Algorithms - Relevance Feedback Searching by Link Structure HITS Method - HITS Implementation - HITS Summary - PageRank Method - PageRank Adjustments - PageRank Implementation - PageRank Summary User Interface Considerations General Guidelines - Search Engine Interfaces - Form Fill-in - Display Considerations - Progress Indication - No Penalties for Error - Results - Test and Retest - Final Considerations Further Reading
    RSWK
    Suchmaschine / Information Retrieval
    Suchmaschine / Information Retrieval / Mathematisches Modell (HEBIS)
    Subject
    Suchmaschine / Information Retrieval
    Suchmaschine / Information Retrieval / Mathematisches Modell (HEBIS)
  4. Wild, F.: Visuelle Verfahren im Information Retrieval (2005) 0.07 
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    Abstract
    Bislang wird dem Studium bestehender Verfahren in der Visualisierung des Document Retrieval von Suchmaschinen zu wenig Aufmerksamkeit geschenkt. Der vorliegende Beitrag widmet sich dem Studium von acht Systemen und Prototypen, um die best-practice-Auslese und die Identifikation erfolgsrelevanter Features und Element zu erleichtern. Er legt dazu ein Modell für das visuelle Information Retrieval in Suchmaschinen vor, beschreibt und analysiert die ausgewählten Verfahren und deduziert Herausforderungen für künftige Forschungen. Die wichtigsten Erkenntnisse dabei sind, dass zwar zu wenig integrale Systeme existieren, die den gesamten Retrievalprozess integriert visuell unterstützen, die vorhandenen aber bereits (trotz ihrer Unvollständigkeit) einen Ausweg aus der linearen Krise der Ergebnispräsentation textbasierter Suchmaschinen aufzeigen. Wenngleich noch nicht alle Informationsbedürfnisse von den untersuchten Verfahren erfüllt werden, so zeichnet sich doch ab, dass insbesondere durch die Innovation von Interaktions- und Manipulationsformen neue Wege beschritten werden, die sich auf Effektivität und Effizienz derRetrievalverfahren auswirken.
    Source
    Information - Wissenschaft und Praxis. 56(2005) H.1, S.29-34
  5. Werner, K.: das Confirmation/Disconfirmation-Paradigma der Kundenzufriedenheit im Kontext des Information Retrieval : Größere Zufriedenheit durch bessere Suchmaschinen? (2010) 0.06 
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    Abstract
    In der vorgestellten Studie aus dem Bereich des interaktiven Information Retrieval wurde erstmals die Erwartungshaltung von Suchmaschinennutzern als mögliche Determinante der Benutzerzufriedenheit untersucht. Das experimentelle Untersuchungsdesign basiert auf einem betriebswirtschaftlichen Modell, das die Entstehung von Kundenzufriedenheit durch die Bestätigung bzw. Nicht-Bestätigung von Erwartungen erklärt. Ein zentrales Ergebnis dieser Studie ist, das bei der Messung von Benutzerzufriedenheit besonders auf den Messzeitpunkt zu achten ist. Des Weiteren konnte ein von der Systemgüte abhängiger Adaptionseffekt hinsichtlich der Relevanzbewertung der Benutzer nachgewiesen werden.
    Source
    Information - Wissenschaft und Praxis. 61(2010) H.6/7, S.385-396
  6. Park, E.-K.; Ra, D.-Y.; Jang, M.-G.: Techniques for improving web retrieval effectiveness (2005) 0.03 
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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.
    Date
    26.12.2007 20:28:29
    Source
    Information processing and management. 41(2005) no.5, S.1207-1224
  7. Behnert, C.: Kriterien und Einflussfaktoren bei der Relevanzbewertung von Surrogaten in akademischen Informationssystemen (2019) 0.03 
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    Abstract
    In diesem Beitrag wird ein Nutzermodell für Relevanzbewertungen in akademischen Informationssystemen unter Berücksichtigung von Popularitätsdaten vorgestellt. Das Modell stellt erstmals eine systematische Darstellung der Einflussgrößen von Relevanzbewertungen vor und nimmt eine explizite Unterscheidung zwischen Relevanzmerkmalen, Relevanzkriterien und Relevanzfaktoren vor. Der Fokus liegt auf Suchergebnissen, die neben den üblichen Elementen wie Titel und Beschreibung auch Popularitätsdaten enthalten, wie zum Beispiel Zitations- oder Downloadzahlen zu einem Werk.
    Source
    Information - Wissenschaft und Praxis. 70(2019) H.1, S.24-32
  8. Mukherjea, S.; Hirata, K.; Hara, Y.: Towards a multimedia World-Wide Web information retrieval engine (1997) 0.03 
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    Abstract
    Describes a search engine that integrate text and image search. 1 or more Web site can be indexed for both textual and image information, allowing the user to search based on keywords or images or both. Another problem with the current search engines is that they show the results as pages of scrolled lists; this is not very user-friendly. The search engine allows the user to visualise to results in various ways. Explains the indexing and searching techniques of the search engine and highlights several features of the querying interface to make the retrieval process more efficient. Use examples to show the usefulness of the technology
    Date
    1. 8.1996 22:08:06
    Source
    Computer networks and ISDN systems. 29(1997) no.8, S.1181-1191
  9. Koenemann, J.; Lindner, H.-G.; Thomas, C.: Unternehmensportale : Von Suchmaschinen zum Wissensmanagement (2000) 0.03 
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    Abstract
    Aufgabe des Wissensmanagements ist es, den Mitarbeitern im Unternehmen entscheidungs- und handlungsrelevante Informationen bereitzustellen und die Mitarbeiter bei der intelligenten Verarbeitung dieser Informationen zu unterstützen. Ein hierzu genutztes Werkzeug von wachsender Bedeutung sind Unternehmensportale. Wir beschreiben kurz die Entwicklung von Portalen im World Wide Web (WWW), um dann Web-Portale von verschiedenen Arten von Unternehmensportalen abzugrenzen. Wir zeigen erwartete Funktionalitäten auf und stellen ein 5-Schichten Modell einer Gesamtarchitektur für Portale dar, welche die wesentlichen Komponenten umfasst. Im Anschluss werden die Besonderheiten der organisatorischen Realisierung und im Ausblick der Übergang von Portalen zum ,ubiquitous personalized information supply", der überall verfügbaren und individuellen Informationsversorgung behandelt
    Source
    nfd Information - Wissenschaft und Praxis. 51(2000) H.6, S.325-334
    Theme
    Information Resources Management
  10. Dambeck, H.: Wie Google mit Milliarden Unbekannten rechnet : Teil.1 (2009) 0.03 
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    Abstract
    Ein Leben ohne Suchmaschinen? Für alle, die viel im World Wide Web unterwegs sind, eine geradezu absurde Vorstellung. Bei der Berechnung der Trefferlisten nutzt Google ein erstaunlich simples mathematisches Verfahren, das sogar Milliarden von Internetseiten in den Griff bekommt.
  11. Peereboom, M.: DutchESS : Dutch Electronic Subject Service - a Dutch national collaborative effort (2000) 0.03 
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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
  12. Bouidghaghen, O.; Tamine, L.: Spatio-temporal based personalization for mobile search (2012) 0.03 
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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
  13. Ke, W.: Decentralized search and the clustering paradox in large scale information networks (2012) 0.03 
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    Abstract
    Amid the rapid growth of information today is the increasing challenge for people to navigate its magnitude. Dynamics and heterogeneity of large information spaces such as the Web raise important questions about information retrieval in these environments. Collection of all information in advance and centralization of IR operations are extremely difficult, if not impossible, because systems are dynamic and information is distributed. The chapter discusses some of the key issues facing classic information retrieval models and presents a decentralized, organic view of information systems pertaining to search in large scale networks. It focuses on the impact of network structure on search performance and discusses a phenomenon we refer to as the Clustering Paradox, in which the topology of interconnected systems imposes a scalability limit.
    Pages
    S.29-46
    Source
    Next generation search engines: advanced models for information retrieval. Eds.: C. Jouis, u.a
  14. Bradley, P.: Advanced Internet searcher's handbook (1998) 0.03 
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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
  15. Sietmann, R.: Suchmaschine für das akademische Internet (2004) 0.02 
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    Abstract
    In Zusammenarbeit mit der norwegischen Suchtechnologie-Firma Fast Search & Transfer hat die Universitätsbibliothek Bielefeld den Prototyp einer Suchmaschine für wissenschaftliche Bibliotheken entwickelt. Dieser demonstriert jetzt mit dem öffentlichen Zugriff auf ausgewählte digitalisierte Sammlungen der Projektteilnehmer die neuen Möglichkeiten des akademischen Retrieval. <http://www.heise.de/RealMedia/ads/adstream_lx.ads/www.heise.de/newsticker/meldungen/wissenschaft/954604605/Middle1/he-test-contentads/zaehler.html/38363566383735383364653062323630?_RM_EMPTY_> Während kommerzielle Suchmaschinen wie Google oder Yahoo sich nicht an akademischen Kriterien orientieren, beschränkt sich die Bielefeld Academic Search Engine (BASE ) auf die von wissenschaftlichen Bibliotheken erschlossenen und aufbereiteten Inhalte. Dazu gehören Hochschulschriften, Preprints, elektronische Zeitschriften und digitale Sammlungen, wie beispielsweise die "Internet Library of Early Journals" des Oxford University Library Service und die "Wissenschaftlichen Rezensionsorgane und Literaturzeitschriften des 18. und 19. Jahrhunderts aus dem deutschen Sprachraum" der UB Bielefeld. Wer etwa bei Google die Stichworte "Immanuel Kant" +Frieden eingibt, kommt zwar schnell an den Originaltext des Aufsatzes "Zum ewigen Frieden" heran, tut sich jedoch schwer, unter den bunt gemischten über 11.000 Treffern gezielt weiter zu recherchieren. Das BASE-Modell dagegen stellt dem Nutzer hierfür vielfältige Navigationshilfen und Metainformationen zur Verfügung. So erleichtert unter anderem die Verfeinerung der Suche auf das Erscheinungsjahr den Zugriff auf die zeitgenössische Diskussion der berühmten Schrift des Königsberger Philosophen. Derzeit ermöglicht der BASE-Prototyp das Retrieval in 15 verschiedenen Archivquellen. Darunter befinden sich die Zeitschriften der Aufklärung, die Elektronischen Dissertationen der Universität Bochum, das elektronische Journal Documenta Mathematica sowie die Mathematischen Volltexte des Springer-Verlags. Der geplante Ausbau soll sich auf eine verteilte Architektur stützen, in der von einzelnen Bibliotheken lokal erstellte Indexe gemeinsam zu einem virtuellen Master-Index beitragen. Dies würde dem Nutzer die nahtlose Navigation durch die verteilten Bestände erlauben."
  16. Croft, W.B.; Metzler, D.; Strohman, T.: Search engines : information retrieval in practice (2010) 0.02 
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    Abstract
    For introductory information retrieval courses at the undergraduate and graduate level in computer science, information science and computer engineering departments. Written by a leader in the field of information retrieval, Search Engines: Information Retrieval in Practice, is designed to give undergraduate students the understanding and tools they need to evaluate, compare and modify search engines. Coverage of the underlying IR and mathematical models reinforce key concepts. The book's numerous programming exercises make extensive use of Galago, a Java-based open source search engine. SUPPLEMENTS / Extensive lecture slides (in PDF and PPT format) / Solutions to selected end of chapter problems (Instructors only) / Test collections for exercises / Galago search engine
    LCSH
    Information retrieval
    Information Storage and Retrieval
    RSWK
    Suchmaschine / Information Retrieval
    Subject
    Suchmaschine / Information Retrieval
    Information retrieval
    Information Storage and Retrieval
  17. Herrera-Viedma, E.; Pasi, G.: Soft approaches to information retrieval and information access on the Web : an introduction to the special topic section (2006) 0.02 
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    Abstract
    The World Wide Web is a popular and interactive medium used to collect, disseminate, and access an increasingly huge amount of information, which constitutes the mainstay of the so-called information and knowledge society. Because of its spectacular growth, related to both Web resources (pages, sites, and services) and number of users, the Web is nowadays the main information repository and provides some automatic systems for locating, accessing, and retrieving information. However, an open and crucial question remains: how to provide fast and effective retrieval of the information relevant to specific users' needs. This is a very hard and complex task, since it is pervaded with subjectivity, vagueness, and uncertainty. The expression soft computing refers to techniques and methodologies that work synergistically with the aim of providing flexible information processing tolerant of imprecision, vagueness, partial truth, and approximation. So, soft computing represents a good candidate to design effective systems for information access and retrieval on the Web. One of the most representative tools of soft computing is fuzzy set theory. This special topic section collects research articles witnessing some recent advances in improving the processes of information access and retrieval on the Web by using soft computing tools, and in particular, by using fuzzy sets and/or integrating them with other soft computing tools. In this introductory article, we first review the problem of Web retrieval and the concept of soft computing technology. We then briefly introduce the articles in this section and conclude by highlighting some future research directions that could benefit from the use of soft computing technologies.
    Date
    22. 7.2006 16:59:33
    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.511-514
  18. Wiley, D.L.: Beyond information retrieval : ways to provide content in context (1998) 0.02 
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    Abstract
    The days of the traditional abstracting and indexing services are waning, as abstracts and bibliographic data become commodities. However, there are tremedous opportunities for those organizations willing to look beyond the status quo to the new possibilities enabled by the latest wave of advanced technologies. Those who own content need to focus on the delivery mechanisms and new markets that technology can provide. Features like automatic extraction of key concepts or names, collaborative filtering to help with trend analysis, and visualization techniques can take information past the retrieval stage and into the management area
    Source
    Database. 21(1998) no.4, S.18-22
  19. From 'storage and retrieval systems' to 'search engines' : text retrieval in evolution (1998) 0.02 
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    Source
    Bulletin of the American Society for Information Science. 24(1998), April/May, S.6-20
  20. Gardner, T.; Iannella, R.: Architecture and software solutions (2000) 0.02 
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    Abstract
    The current subject gateways have evolved over time when the discipline of Internet resource discovery was in its infancy. This is reflected by the lack of well-established, light-weight, deployable, easy-to-use, standards for metadata and information retrieval. We provide an introduction to the architecture, standards and software solutions in use by subject gateways, and to the issues that must be addressed to support future subject gateways
    Date
    22. 6.2002 19:38:24
    Source
    Online information review. 24(2000) no.1, S.35-39
    Theme
    Information Gateway

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