Search (1307 results, page 1 of 66)

  • × year_i:[2000 TO 2010}
  1. Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004) 0.10 
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    Content
    Vgl.: http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&ved=0CEAQFjAA&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.91.4940%26rep%3Drep1%26type%3Dpdf&ei=dOXrUMeIDYHDtQahsIGACg&usg=AFQjCNHFWVh6gNPvnOrOS9R3rkrXCNVD-A&sig2=5I2F5evRfMnsttSgFF9g7Q&bvm=bv.1357316858,d.Yms.
    Date
    8. 1.2013 10:22:32
  2. Behme, H.: Stöberei : Endlich fertig: Mozilla 1.0 (2002) 0.08 
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    Abstract
    Kaum war am 5. Juni dieses Jahres die Version 1.0 des Internet-Client Mozilla freigegeben, ließen die Entwickler - ebenfalls im Juni - eine Alpha-Version 1.1 auf testwütige Surfer los. In diesem Heft jedoch ein Blick auf den fertigen 1.0 Browser
  3. Frodl, C. (Bearb.); Fischer, T. (Bearb.); Baker, T. (Bearb.); Rühle, S. (Bearb.): Deutsche Übersetzung des Dublin-Core-Metadaten-Elemente-Sets (2007) 0.07 
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    Content
    Das vorliegende Dokument ist eine Übersetzung des "Dublin Core Metadata Element Set, Version 1.1". Grundlage der Übersetzung ist: NISO Standard Z39.85-2007 (May 2007): http://www.niso.org/standards/resources/Z39-85-2007.pdf.
    Issue
    Version 1.1 vom 22.08.2007.
  4. Kramer, A.: Such, Programm! : Elf kostenlose Desktop-Tools schnüffeln um die Wette (2005) 0.07 
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    Object
    Yahoo Desktop Search 1.1
  5. Schrodt, R.: Tiefen und Untiefen im wissenschaftlichen Sprachgebrauch (2008) 0.05 
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    Content
    Vgl. auch: https://studylibde.com/doc/13053640/richard-schrodt. Vgl. auch: http%3A%2F%2Fwww.univie.ac.at%2FGermanistik%2Fschrodt%2Fvorlesung%2Fwissenschaftssprache.doc&usg=AOvVaw1lDLDR6NFf1W0-oC9mEUJf.
  6. Behrens-Neumann, R.: Aus der 53. Sitzung der Arbeitsgemeinschaft der Verbundsysteme am 6. und 7. November 2007 in München (2008) 0.05 
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    Content
    - KIM - Kompetenzzentrum Interoperable Metadaten (DFG) Das Kompetenzzentrum Interoperable Metadaten (KIM) ist ein von der Deutschen Forschungsgemeinschaft (DFG) gefördertes Projekt, das unter Federführung der Niedersächsischen Staats- und Universitätsbibliothek Göttingen (SUB Göttingen) in Zusammenarbeit mit der Deutschen Nationalbibliothek (DNB) durchgeführt wird. Ziel ist es, die Interoperabilität von Metadaten im deutschsprachigen Raum zu verbessern. In diesem Sinne wird mit KIM eine lnformations- und Kommunikationsplattform mit Experten aus Deutschland, Österreich und der Schweiz aufgebaut, die Metadatenanwender bei der Entwicklung interoperabler Metadatenprofile mittels Beratungsangeboten, Schulungen und Best-Practice-Lösungen unterstützen und beraten. Im August 2007 hat die AG Übersetzung DCMES von KIM das Dublin-Core-Metadata-Elemente-Set in der Version 1.1. vom Englischen ins Deutsche übersetzt. Die für die Übersetzung zuständige Expertengruppe wurde dabei direkt durch den Usage Board Director von Dublin Core beraten und unterstützt. Die fertige Übersetzung steht auf der KIM-Homepage zur Verfügung. KIM hat von Juli bis September 2007 eine Umfrage zur Nutzung von Metadaten durchgeführt, um seine Dienstleistungen optimieren und diese bestmöglich auf die Bedürfnisse von Metadatenanwendern und -entwicklern ausrichten zu können. Teilnehmer der Umfrage waren Metadatenanwender aus Bibliotheken, Forschung, Verwaltung, Industrie und Wirtschaft. Eine Auswertung der Umfrage wurde Ende Oktober 2007 veröffentlicht. Langfristig soll das Kompetenzzentrum Interoperable Metadaten als Affiliate der Dublin Core Metadata Initiative (DCMI) im deutschsprachigen Raum (Deutschland, Schweiz, Österreich) etabliert werden, um die Interessen von Forschung, Behörden, Wirtschaft und Industrie in den Gremien von DCMI zu vertreten. Projektpartner in der Schweiz sind die Hochschule für Technik und Wirtschaft (FH-HTW) Chur und die Eidgenössische Technische Hochschule (ETH) Zürich. Partner in Österreich ist die Universität Wien.
    Date
    22. 2.2008 13:51:27
  7. Garcia-Barriocanal, E.; Sicilia, M.A.; Sanchez-Alonso, S.: Usability evaluation of ontology editors (2005) 0.05 
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    WebOde 1.1
  8. Ravichandra Rao, I.K.; Sahoo, B.B.: Studies and research in informetrics at the Documentation Research and Training Centre (DRTC), ISI Bangalore (2006) 0.05 
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    Abstract
    Contributions of DRTC to informetric studies and research are discussed. A report on recent work - a quantitative country-wise analysis of software literature based on the data from two bibliographic databases i.e. COMPENDEX and INSPEC is presented. The number of countries involved in R & D activities in software in the most productive group is increasing. The research contribution on software is decreasing in developed countries as compared to that in developing and less developed countries. India 's contribution is only 1.1% and it has remained constant over the period of 12 years 1989-2001. The number of countries involved in R&D activities in software has been increasing in the 1990s. It is also noted that higher the budget for higher education, higher the number of publications; and that higher the number of publications, higher the export as well as the domestic consumption of software.
  9. Botana Varela, J.: Unscharfe Wissensrepräsentationen bei der Implementation des Semantic Web (2004) 0.05 
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    Abstract
    In der vorliegenden Arbeit soll einen Ansatz zur Implementation einer Wissensrepräsentation mit den in Abschnitt 1.1. skizzierten Eigenschaften und dem Semantic Web als Anwendungsbereich vorgestellt werden. Die Arbeit ist im Wesentlichen in zwei Bereiche gegliedert: dem Untersuchungsbereich (Kapitel 2-5), in dem ich die in Abschnitt 1.1. eingeführte Terminologie definiert und ein umfassender Überblick über die zugrundeliegenden Konzepte gegeben werden soll, und dem Implementationsbereich (Kapitel 6), in dem aufbauend auf dem im Untersuchungsbereich erarbeiteten Wissen einen semantischen Suchdienst entwickeln werden soll. In Kapitel 2 soll zunächst das Konzept der semantischen Interpretation erläutert und in diesem Kontext hauptsächlich zwischen Daten, Information und Wissen unterschieden werden. In Kapitel 3 soll Wissensrepräsentation aus einer kognitiven Perspektive betrachtet und in diesem Zusammenhang das Konzept der Unschärfe beschrieben werden. In Kapitel 4 sollen sowohl aus historischer als auch aktueller Sicht die Ansätze zur Wissensrepräsentation und -auffindung beschrieben und in diesem Zusammenhang das Konzept der Unschärfe diskutiert werden. In Kapitel 5 sollen die aktuell im WWW eingesetzten Modelle und deren Einschränkungen erläutert werden. Anschließend sollen im Kontext der Entscheidungsfindung die Anforderungen beschrieben werden, die das WWW an eine adäquate Wissensrepräsentation stellt, und anhand der Technologien des Semantic Web die Repräsentationsparadigmen erläutert werden, die diese Anforderungen erfüllen. Schließlich soll das Topic Map-Paradigma erläutert werden. In Kapitel 6 soll aufbauend auf die im Untersuchtungsbereich gewonnenen Erkenntnisse ein Prototyp entwickelt werden. Dieser besteht im Wesentlichen aus Softwarewerkzeugen, die das automatisierte und computergestützte Extrahieren von Informationen, das unscharfe Modellieren, sowie das Auffinden von Wissen unterstützen. Die Implementation der Werkzeuge erfolgt in der Programmiersprache Java, und zur unscharfen Wissensrepräsentation werden Topic Maps eingesetzt. Die Implementation wird dabei schrittweise vorgestellt. Schließlich soll der Prototyp evaluiert und ein Ausblick auf zukünftige Erweiterungsmöglichkeiten gegeben werden. Und schließlich soll in Kapitel 7 eine Synthese formuliert werden.
  10. Vetere, G.; Lenzerini, M.: Models for semantic interoperability in service-oriented architectures (2005) 0.05 
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    Content
    Vgl.: http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=5386707&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D5386707.
  11. Reinmann-Rothmeier, G.: Wissen Managen : das Münchener Modell (2001) 0.04 
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    Content
    1. Mit Wissensmanagement zur lernenden Organisation 1.1 " Outlearning the wolves" - eine Geschichte zum Enstieg 1.2 Der individuelle und der organisationale Lernzyklus 2. Das Wissens- und Managementverständnis im Münchener Modell 2.1 Bedeutungswandel beim Wissensbegriff 2.2 Balanceakt beim Managementbegriff 3. Die Auffassung von Wissensmanagement im Münchener Modell 3.1 Die Integrationsfunktion des Münchener Modells 3.2 Der Bedeutungsrahmen des Münchener Modells 4. Vier Phänomenbereiche im Münchener Modell 4.1 Wissensrepräsentation 4.2 Wissenskommunikation 4.3 Wissensgenerierung 4.4 Wissensnutzung 5. Die Rolle von Communities im Münchener Modell 5.1 Communities als innovative Organisationsstruktur 5.2 Communities als Keimzelle des Wissensmanagements 6. Ausblick: Forschungsstrategische Überlegungen zum Wissensmanagement
  12. Goldberg, J.E.: Development of a universal law classification : a retrospective on Library of Congress Class K (2003) 0.04 
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    Abstract
    Introduction 1. The Early Years of Library of Congress Collecting and Classifying (1801-1901) 1.1 Setting the Stage. The American Century 1.2 Expanding General Collections: The Window on Europe 1.3 A New Classification for the Library of Congress 2. Breaking Ground for Law: Classifications for the Discipline and its Literature 2.1 The Early Proposals for a Law Book Classification 2.2 Expanding Law Collections: The Second Window on Europe 2.3 The Law Classification Theater and the Players 2.4 Structure and Scope of the Anticipated Class K. Jurisdictionality 3. The Code vs. the Court report: Model Schemes for Civil and Common Law 3.1 The Washington Dialogues: Law for Law 3.2 In Search for Common Ground 3.2.1 The Committee Dialogues: Joint in Dissent 3.3 The Anglo-American Law: Model KF (Law of the United States) 3.4 The Law of the American Indians 4. The Civil law: Model KK (Law of Germany) 4.1 The Historic German Split and History of Law 4.2 KF and KK Comparatively 4.2.1 Private Law: Mixed Aspects 4.2.2 Constitutional and Administrative Law: Mixed Messages 4.3 KKA (Law of East Germany): Classification by Comparison 4.4 German States and Territories 5. The Regional Law: Model KJ (Law of Europe). Regionalism 5.1 The Resulting New Hierarchy 5.2 European Legal History: A Comparative Discipline 5.3 KJC Regional Comparative and Uniform Law 5.4 KJE Regional Organization and Integration 6. Regional Classification: KL-KWX ("The Rest of the World") Conclusion
  13. Goldberg, J.E.: Development of a universal law classification : a retrospective on Library of Congress Class K (2003) 0.04 
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    Abstract
    Introduction 1. The Early Years of Library of Congress Collecting and Classifying (1801-1901) 1.1 Setting the Stage. The American Century 1.2 Expanding General Collections: The Window on Europe 1.3 A New Classification for the Library of Congress 2. Breaking Ground for Law: Classifications for the Discipline and its Literature 2.1 The Early Proposals for a Law Book Classification 2.2 Expanding Law Collections: The Second Window on Europe 2.3 The Law Classification Theater and the Players 2.4 Structure and Scope of the Anticipated Class K. Jurisdictionality 3. The Code vs. the Court report: Model Schemes for Civil and Common Law 3.1 The Washington Dialogues: Law for Law 3.2 In Search for Common Ground 3.2.1 The Committee Dialogues: Joint in Dissent 3.3 The Anglo-American Law: Model KF (Law of the United States) 3.4 The Law of the American Indians 4. The Civil law: Model KK (Law of Germany) 4.1 The Historic German Split and History of Law 4.2 KF and KK Comparatively 4.2.1 Private Law: Mixed Aspects 4.2.2 Constitutional and Administrative Law: Mixed Messages 4.3 KKA (Law of East Germany): Classification by Comparison 4.4 German States and Territories 5. The Regional Law: Model KJ (Law of Europe). Regionalism 5.1 The Resulting New Hierarchy 5.2 European Legal History: A Comparative Discipline 5.3 KJC Regional Comparative and Uniform Law 5.4 KJE Regional Organization and Integration 6. Regional Classification: KL-KWX ("The Rest of the World") Conclusion
  14. Weichselgartner, E.: ZPID bindet Thesaurus in Retrievaloberfläche ein (2006) 0.04 
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    Abstract
    Seit 3. Juli 2006 stellt das ZPID eine verbesserte Suchoberfläche für die Recherche in der bibliographischen Psychologie-Datenbank PSYNDEX zur Verfügung. Hauptmerkmal der neuen Version 1.1 des 'ZPID-Retrieval für PSYNDEX' ist die Einbindung von 'PSYNDEX Terms', dem kontrollierten Wortschatz der psychologischen Fachsprache. PSYNDEX Terms basiert auf dem 'Thesaurus of Psychological Index Terms' der American Psychological Association (APA) und enthält im Moment über 5.400 Deskriptoren. Zu jedem Deskriptor werden ggf. Oberbegriffe, Unterbegriffe und verwandte Begriffe angezeigt. Wer die Suchoberfläche nutzt, kann entweder im Thesaurus blättern oder gezielt nach Thesaurusbegriffen suchen. Kommt der eigene frei gewählte Suchbegriff nicht im Thesaurus vor, macht das System selbsttätig Vorschläge für passende Thesaurusbegriffe. DerThesaurus ist komplett zweisprachig (deutsch/englisch) implementiert, sodass er auch als Übersetzungshilfe dient. Weitere Verbesserungen der Suchoberfläche betreffen die Darstellbarkeit in unterschiedlichen Web-Browsern mit dem Ziel der Barrierefreiheit, die Erweiterung der OnlineHilfe mit Beispielen für erfolgreiche Suchstrategien, die Möglichkeit, zu speziellen Themen vertiefte Informationen abzurufen (den Anfang machen psychologische Behandlungsprogramme) und die Bereitstellung eines Export-Filters für EndNote. Zielgruppe des ZPID-Retrieval sind Einzelpersonen, die keinen institutionellen PSYNDEX-Zugang, z.B. am Campus einer Universität, nutzen können. Sie können das kostenpflichtige Retrieval direkt online erwerben und werden binnen weniger Minuten freigeschaltet. Kunden mit existierendem Vertrag kommen automatisch in den Genuss der verbesserten Suchoberfläche.
  15. Mas, S.; Marleau, Y.: Proposition of a faceted classification model to support corporate information organization and digital records management (2009) 0.04 
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    Footnote
    Vgl.: http://ieeexplore.ieee.org/Xplore/login.jsp?reload=true&url=http%3A%2F%2Fieeexplore.ieee.org%2Fiel5%2F4755313%2F4755314%2F04755480.pdf%3Farnumber%3D4755480&authDecision=-203.
  16. RAK-NBM : Interpretationshilfe zu NBM 3b,3 (2000) 0.04 
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    Date
    22. 1.2000 19:22:27
  17. Diederichs, A.: Wissensmanagement ist Macht : Effektiv und kostenbewußt arbeiten im Informationszeitalter (2005) 0.04 
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    Date
    22. 2.2005 9:16:22
  18. Hawking, D.; Robertson, S.: On collection size and retrieval effectiveness (2003) 0.04 
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    Date
    14. 8.2005 14:22:22
  19. Buzydlowski, J.W.; White, H.D.; Lin, X.: Term Co-occurrence Analysis as an Interface for Digital Libraries (2002) 0.03 
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    Date
    22. 2.2003 17:25:39
    22. 2.2003 18:16:22
  20. Spink, A.; Jansen, B.J.; Blakely, C.; Koshman, S.: ¬A study of results overlap and uniqueness among major Web search engines (2006) 0.03 
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    Abstract
    The performance and capabilities of Web search engines is an important and significant area of research. Millions of people world wide use Web search engines very day. This paper reports the results of a major study examining the overlap among results retrieved by multiple Web search engines for a large set of more than 10,000 queries. Previous smaller studies have discussed a lack of overlap in results returned by Web search engines for the same queries. The goal of the current study was to conduct a large-scale study to measure the overlap of search results on the first result page (both non-sponsored and sponsored) across the four most popular Web search engines, at specific points in time using a large number of queries. The Web search engines included in the study were MSN Search, Google, Yahoo! and Ask Jeeves. Our study then compares these results with the first page results retrieved for the same queries by the metasearch engine Dogpile.com. Two sets of randomly selected user-entered queries, one set was 10,316 queries and the other 12,570 queries, from Infospace's Dogpile.com search engine (the first set was from Dogpile, the second was from across the Infospace Network of search properties were submitted to the four single Web search engines). Findings show that the percent of total results unique to only one of the four Web search engines was 84.9%, shared by two of the three Web search engines was 11.4%, shared by three of the Web search engines was 2.6%, and shared by all four Web search engines was 1.1%. This small degree of overlap shows the significant difference in the way major Web search engines retrieve and rank results in response to given queries. Results point to the value of metasearch engines in Web retrieval to overcome the biases of individual search engines.

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