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  1. Donsbach, W.: Wahrheit in den Medien : über den Sinn eines methodischen Objektivitätsbegriffes (2001) 0.30
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    Source
    Politische Meinung. 381(2001) Nr.1, S.65-74 [https%3A%2F%2Fwww.dgfe.de%2Ffileadmin%2FOrdnerRedakteure%2FSektionen%2FSek02_AEW%2FKWF%2FPublikationen_Reihe_1989-2003%2FBand_17%2FBd_17_1994_355-406_A.pdf&usg=AOvVaw2KcbRsHy5UQ9QRIUyuOLNi]
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  2. Malsburg, C. von der: ¬The correlation theory of brain function (1981) 0.30
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    Source
    http%3A%2F%2Fcogprints.org%2F1380%2F1%2FvdM_correlation.pdf&usg=AOvVaw0g7DvZbQPb2U7dYb49b9v_
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  3. Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 0.30
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    Source
    https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
  4. Semantische Technologien : Grundlagen - Konzepte - Anwendungen (2012) 0.25
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    Abstract
    Dieses Lehrbuch bietet eine umfassende Einführung in Grundlagen, Potentiale und Anwendungen Semantischer Technologien. Es richtet sich an Studierende der Informatik und angrenzender Fächer sowie an Entwickler, die Semantische Technologien am Arbeitsplatz oder in verteilten Applikationen nutzen möchten. Mit seiner an praktischen Beispielen orientierten Darstellung gibt es aber auch Anwendern und Entscheidern in Unternehmen einen breiten Überblick über Nutzen und Möglichkeiten dieser Technologie. Semantische Technologien versetzen Computer in die Lage, Informationen nicht nur zu speichern und wieder zu finden, sondern sie ihrer Bedeutung entsprechend auszuwerten, zu verbinden, zu Neuem zu verknüpfen, und so flexibel und zielgerichtet nützliche Leistungen zu erbringen. Das vorliegende Buch stellt im ersten Teil die als Semantische Technologien bezeichneten Techniken, Sprachen und Repräsentationsformalismen vor. Diese Elemente erlauben es, das in Informationen enthaltene Wissen formal und damit für den Computer verarbeitbar zu beschreiben, Konzepte und Beziehungen darzustellen und schließlich Inhalte zu erfragen, zu erschließen und in Netzen zugänglich zu machen. Der zweite Teil beschreibt, wie mit Semantischen Technologien elementare Funktionen und umfassende Dienste der Informations- und Wissensverarbeitung realisiert werden können. Hierzu gehören etwa die Annotation und das Erschließen von Information, die Suche in den resultierenden Strukturen, das Erklären von Bedeutungszusammenhängen sowie die Integration einzelner Komponenten in komplexe Ablaufprozesse und Anwendungslösungen. Der dritte Teil beschreibt schließlich vielfältige Anwendungsbeispiele in unterschiedlichen Bereichen und illustriert so Mehrwert, Potenzial und Grenzen von Semantischen Technologien. Die dargestellten Systeme reichen von Werkzeugen für persönliches, individuelles Informationsmanagement über Unterstützungsfunktionen für Gruppen bis hin zu neuen Ansätzen im Internet der Dinge und Dienste, einschließlich der Integration verschiedener Medien und Anwendungen von Medizin bis Musik.
    Content
    Inhalt: 1. Einleitung (A. Dengel, A. Bernardi) 2. Wissensrepräsentation (A. Dengel, A. Bernardi, L. van Elst) 3. Semantische Netze, Thesauri und Topic Maps (O. Rostanin, G. Weber) 4. Das Ressource Description Framework (T. Roth-Berghofer) 5. Ontologien und Ontologie-Abgleich in verteilten Informationssystemen (L. van Elst) 6. Anfragesprachen und Reasoning (M. Sintek) 7. Linked Open Data, Semantic Web Datensätze (G.A. Grimnes, O. Hartig, M. Kiesel, M. Liwicki) 8. Semantik in der Informationsextraktion (B. Adrian, B. Endres-Niggemeyer) 9. Semantische Suche (K. Schumacher, B. Forcher, T. Tran) 10. Erklärungsfähigkeit semantischer Systeme (B. Forcher, T. Roth-Berghofer, S. Agne) 11. Semantische Webservices zur Steuerung von Prooduktionsprozessen (M. Loskyll, J. Schlick, S. Hodeck, L. Ollinger, C. Maxeiner) 12. Wissensarbeit am Desktop (S. Schwarz, H. Maus, M. Kiesel, L. Sauermann) 13. Semantische Suche für medizinische Bilder (MEDICO) (M. Möller, M. Sintek) 14. Semantische Musikempfehlungen (S. Baumann, A. Passant) 15. Optimierung von Instandhaltungsprozessen durch Semantische Technologien (P. Stephan, M. Loskyll, C. Stahl, J. Schlick)
    Footnote
    Auch als digitale Ausgabe verfügbar. Auf S. 5 befindet sich der Satz: "Wissen ist Information, die in Aktion umgesetzt wird".
    RSWK
    Wissensrepräsentation / Semantisches Netz / RDF <Informatik> / OWL <Informatik> / Aufsatzsammlung
    Semantic Web / Information Extraction / Suche / Wissensbasiertes System / Aufsatzsammlung
    Semantic Web / Web Services / Semantische Modellierung / Ontologie <Wissensverarbeitung> / Suche / Navigieren / Anwendungsbereich / Aufsatzsammlung
    Subject
    Wissensrepräsentation / Semantisches Netz / RDF <Informatik> / OWL <Informatik> / Aufsatzsammlung
    Semantic Web / Information Extraction / Suche / Wissensbasiertes System / Aufsatzsammlung
    Semantic Web / Web Services / Semantische Modellierung / Ontologie <Wissensverarbeitung> / Suche / Navigieren / Anwendungsbereich / Aufsatzsammlung
    Theme
    Semantic Web
  5. Piros, A.: Az ETO-jelzetek automatikus interpretálásának és elemzésének kérdései (2018) 0.25
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    Content
    Vgl. auch: New automatic interpreter for complex UDC numbers. Unter: <https%3A%2F%2Fudcc.org%2Ffiles%2FAttilaPiros_EC_36-37_2014-2015.pdf&usg=AOvVaw3kc9CwDDCWP7aArpfjrs5b>
  6. Knowledge organization, information systems and other essays : Professor A. Neelameghan festschrift (2006) 0.21
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    RSWK
    Indien / Wissensbasiertes System / Aufsatzsammlung
    Indien / Informations- und Dokumentationswissenschaft / Aufsatzsammlung
    Subject
    Indien / Wissensbasiertes System / Aufsatzsammlung
    Indien / Informations- und Dokumentationswissenschaft / Aufsatzsammlung
  7. Handbook on ontologies (2004) 0.16
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    LCSH
    Knowledge representation (Information theory)
    Conceptual structures (Information theory)
    RSWK
    Informationssystem / Wissenstechnik / Ontologie <Wissensverarbeitung> / Aufsatzsammlung
    Semantic Web / Wissensbasiertes System / Ontologie <Wissensverarbeitung> / Aufsatzsammlung
    Informationssystem / Konzeptionelle Modellierung / Ontologie <Wissensverarbeitung> / Aufsatzsammlung
    Series
    International handbook on information systems
    Subject
    Informationssystem / Wissenstechnik / Ontologie <Wissensverarbeitung> / Aufsatzsammlung
    Semantic Web / Wissensbasiertes System / Ontologie <Wissensverarbeitung> / Aufsatzsammlung
    Informationssystem / Konzeptionelle Modellierung / Ontologie <Wissensverarbeitung> / Aufsatzsammlung
    Knowledge representation (Information theory)
    Conceptual structures (Information theory)
    Theme
    Semantic Web
  8. Knowledge organization, information systems and other essays : professor A. Neelameghan Festschrift (2006) 0.11
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    Content
    Inhalt: KNOWLEDGE ORGANIZATION Towards a Future for Knowledge Organization Ingetraut Dahlberg Professor Neelameghan's Contribution to the Advancement and Development of Classification in the Context of Knowledge Organization Nancy J. Williamson Knowledge Orgnization System Over Time S. Seetharama The Facet Concept as a Universal Principle of Subdivisio Clare Beghtol Facet Analysis as a Knowledge Management Tool on the Internet Kathryn La Barre and Pauline Atherton Cochrane The Universal Decimal Classification: A Response to a Challenge I. C. Mellwaine Controlled Vocabularies as a Sphere of Influence Anita S. Coleman and Paul Bracke Aligning Systems of Relationship Rebecca Green and Carol A. Bean Terminologies, Ontologies and Information Access Widad Mustafa El Hadi SATSAN AUTOMATRIX Version 1 : A Computer Programme for Synthesis of Colon Class Number According to the Postulational Approach B. G. Satyapal and N. Sanjivini Satyapal. INTEROPERABILITY, DIGITAL LIBRARY AND INFORMATION RETRIEVAL Interoperable Institutional Digital Research Repositories and Their Potential for Open Access Research Knowledge Management T. B. Rajashekar Boundary Objects and the Digital Library Michael Shepherd and Corolyn Watters A PFT-based Approach to Make CDS/ISIS Data based OAI-Compliant Francis Jayakanth and L. Aswath The changing Language Technology and CDS/ ISIS: UNICODE and the Emergence of OTF K. H. Hussain and J. S. Rajeev Text Mining in Biomedicine: Challenges and Opportunities Padmini Srinivasan Determining Authorship of Web Pages Timothy C. Craven
    KNOWLEDGE MANAGEMENT IN SPECIALIZED AREAS Information System for Knowledge Management in the Specialized Division of a Hospital M. C. Vasudevan; Murali Mohan and Amit Kapoor Five Laws of Information Service and Architecting Knowledge Infrastructure for Education and Development k. R. Srivathsan Documentation of Compositions in Carnatic Music: Need for and Utility of a Computerized Database K. S. Nagarajan Saint Tyagaraja CD: A Model for Knowledge Organization and Presentation of Classical Carnatic Music---T. N. Rajan The National Tuberculosis Institute, Bangalore; Recent Development in Library and Information Services Sudha S. Murthy Sri Ramakrishna Math Libraries: Computer Applications D.N. Nagaraja Rao Save the Time of the Godly: Information Mediator's Role in Promoting Spiritual and Religious Accommodation Mohamed Taher INFORMATION SOCIETY Information Society, Information Networks and National Development : An Overview P. B. Mangla Digital Divide in India-Narrowing the Gap: An Appraisal with Special Reference to Karnataka K. N. Prasad Future of the Book: Will the Printed Book Survive the Digital Age? K. A. Isaac Role of Traditional Librarianship in the Internet/Digital Era a. Ratnakar A New Paradigm of Education System for Reaching the Unreached Through Open and Distance Education with Special Reference to the Indian Initiative S. B. Ghosh Knowledge Workers of the New Millennium: An Instance of Interdisciplinary Exchange and Discovery Michael Medland
    RSWK
    Wissensorganisation / Aufsatzsammlung (GBV)
    Indien / Wissensbasiertes System / Aufsatzsammlung (SWB)
    Indien / Informations- und Dokumentationswissenschaft / Aufsatzsammlung (SWB)
    Dewey-Dezimalklassifikation / Elektronische Bibliothek / Informationsgesellschaft / Information Retrieval (GBV)
    Subject
    Wissensorganisation / Aufsatzsammlung (GBV)
    Indien / Wissensbasiertes System / Aufsatzsammlung (SWB)
    Indien / Informations- und Dokumentationswissenschaft / Aufsatzsammlung (SWB)
    Dewey-Dezimalklassifikation / Elektronische Bibliothek / Informationsgesellschaft / Information Retrieval (GBV)
  9. Cremers, A.B.; Oechtering, V.; Heege, R.: KONDOR: ein wissensbasiertes Unterstützungssystem zur individuellen Optimierung von Online-Suchstrategien (1988) 0.11
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    Abstract
    In dieser Arbeit werden der Entwurf und die Entwicklung eines Vermittlersystems erläutert, das vor allem hochspezialisierte Wissenschaftler und Ingenieure bei der eigenständigen Suche in einer Vielzahl wichtiger Online-Datenbanken unterstützt. Online-Recherchen sind bisher überwiegend den Informationsvermittlern vorbehalten, die die Verbindung herstellen zwischen dem Informationssuchenden und dem Online-Dienst, der die Information möglicherweise anbietet. Üblicherweise schlägt der Informationssuchende Suchbegriffe vor und beurteilt die Relevanz der Ergebnisse, während die Aufgabe des Informationsvermittlers darin besteht, passende Datenbanken und Hosts auszuwählen und dann die Suche durchzuführen, wobei er auf sein Wissen über Strukturen und Inhalte der verschiedenen Datenbanken sowie über Online-Suchtechniken zurückgreift. Teile dieses komplexen Wissens sind in unser System integriert worden und stehen den Selten- bzw. Endnutzern in höchst benutzerfreundlicher Form zur Verfügung. Zukünftige Weiterentwicklungen des Systems werden auch professionelle Online-Rechercheure umfassend unterstützen
  10. Jung, H.; Yi, E.; Kim, D.; Lee, G.G.: Information extraction with automatic knowledge expansion (2005) 0.10
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    Abstract
    POSIE (POSTECH Information Extraction System) is an information extraction system which uses multiple learning strategies, i.e., SmL, user-oriented learning, and separate-context learning, in a question answering framework. POSIE replaces laborious annotation with automatic instance extraction by the SmL from structured Web documents, and places the user at the end of the user-oriented learning cycle. Information extraction as question answering simplifies the extraction procedures for a set of slots. We introduce the techniques verified on the question answering framework, such as domain knowledge and instance rules, into an information extraction problem. To incrementally improve extraction performance, a sequence of the user-oriented learning and the separate-context learning produces context rules and generalizes them in both the learning and extraction phases. Experiments on the "continuing education" domain initially show that the F1-measure becomes 0.477 and recall 0.748 with no user training. However, as the size of the training documents grows, the F1-measure reaches beyond 0.75 with recall 0.772. We also obtain F-measure of about 0.9 for five out of seven slots on "job offering" domain.
    Source
    Information processing and management. 41(2005) no.2, S.217-242
  11. Corporate Semantic Web : wie semantische Anwendungen in Unternehmen Nutzen stiften (2015) 0.10
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    Abstract
    Beim Corporate Semantic Web betrachtet man Semantic Web-Anwendungen, die innerhalb eines Unternehmens oder einer Organisation - kommerziell und nicht kommerziell - eingesetzt werden, von Mitarbeitern, von Kunden oder Partnern. Die Autoren erläutern prägende Erfahrungen in der Entwicklung von Semantic Web-Anwendungen. Sie berichten über Software-Architektur, Methodik, Technologieauswahl, Linked Open Data Sets, Lizenzfragen etc. Anwendungen aus den Branchen Banken, Versicherungen, Telekommunikation, Medien, Energie, Maschinenbau, Logistik, Touristik, Spielwaren, Bibliothekswesen und Kultur werden vorgestellt. Der Leser erhält so einen umfassenden Überblick über die Semantic Web-Einsatzbereiche sowie konkrete Umsetzungshinweise für eigene Vorhaben.
    Content
    Kapitel 1; Corporate Semantic Web; 1.1 Das Semantic Web; 1.2 Semantische Anwendungen im Unternehmenseinsatz; 1.3 Bereitstellen von Linked Data reicht nicht; 1.4 Eine global vernetzte Wissensbasis -- Fiktion oder Realität?; 1.5 Semantik)=)RDF?; 1.6 Richtig vorgehen; 1.7 Modellieren ist einfach (?!); 1.8 Juristische Fragen; 1.9 Semantische Anwendungen stiften Nutzen in Unternehmen -- nachweislich!; 1.10 Fazit; Literatur; Kapitel 2; Einordnung und Abgrenzung des Corporate Semantic Webs; 2.1 Grundlegende Begriffe; 2.2 Corporate Semantic Web 2.3 Public Semantic Web2.4 Social Semantic Web 3.0; 2.5 Pragmatic Web; 2.6 Zusammenfassung und Ausblick "Ubiquitous Pragmatic Web 4.0"; Literatur; Kapitel 3; Marktstudie: Welche Standards und Tools werden in Unternehmen eingesetzt?; 3.1 Einleitung; 3.2 Semantische Suche in Webarchiven (Quantinum AG); 3.2.1 Kundenanforderungen; 3.2.2 Technische Umsetzung; 3.2.3 Erfahrungswerte; 3.3 Semantische Analyse und Suche in Kundenspezifikationen (Ontos AG); 3.3.1 Kundenanforderungen; 3.3.2 Technische Umsetzung; 3.3.3 Erfahrungswerte 3.4 Sicherheit für Banken im Risikomanagement (VICO Research & Consulting GmbH)3.4.1 Kundenanforderungen; 3.4.2 Technische Umsetzung; 3.4.3 Erfahrungswerte; 3.5 Interaktive Fahrzeugdiagnose (semafora GmbH); 3.5.1 Kundenanforderungen; 3.5.2 Technische Umsetzung; 3.5.3 Erfahrungswerte; 3.6 Quo Vadis?; 3.7 Umfrage-Ergebnisse; 3.8 Semantic Web Standards & Tools; 3.9 Ausblick; Literatur; Kapitel 4; Modellierung des Sprachraums von Unternehmen; 4.1 Hintergrund; 4.2 Eine Frage der Bedeutung; 4.3 Bedeutung von Begriffen im Unternehmenskontext; 4.3.1 Website-Suche bei einem Industrieunternehmen 4.3.2 Extranet-Suche bei einem Marktforschungsunternehmen4.3.3 Intranet-Suche bei einem Fernsehsender; 4.4 Variabilität unserer Sprache und unseres Sprachgebrauchs; 4.4.1 Konsequenzen des Sprachgebrauchs; 4.5 Terminologiemanagement und Unternehmensthesaurus; 4.5.1 Unternehmensthesaurus; 4.5.2 Mut zur Lücke: Arbeiten mit unvollständigen Terminologien; 4.6 Pragmatischer Aufbau von Unternehmensthesauri; 4.6.1 Begriffsanalyse des Anwendungsbereichs; 4.6.2 Informationsquellen; 4.6.3 Häufigkeitsverteilung; 4.6.4 Aufwand und Nutzen; Literatur; Kapitel 5 Schlendern durch digitale Museen und Bibliotheken5.1 Einleitung; 5.2 Anwendungsfall 1: Schlendern durch das Digitale Museum; 5.3 Anwendungsfall 2: Literatur in Bibliotheken finden; 5.4 Herausforderungen; 5.5 Die Anforderungen treiben die Architektur; 5.5.1 Semantic ETL; 5.5.2 Semantic Logic; 5.5.3 Client; 5.6 Diskussion; 5.7 Empfehlungen und Fazit; Literatur; Kapitel 6; Semantische Suche im Bereich der Energieforschungsförderung; 6.1 Das Projekt EnArgus®; 6.2 Die Fachontologie; 6.2.1 Semantische Suche; 6.2.2 Repräsentation der semantischen Relationen in der Fachontologie
    LCSH
    Information systems
    Information storage and retrieval system
    Information System
    RSWK
    Unternehmen / Semantic Web / Aufsatzsammlung
    Subject
    Unternehmen / Semantic Web / Aufsatzsammlung
    Information systems
    Information storage and retrieval system
    Information System
    Theme
    Semantic Web
  12. Semantic applications (2018) 0.10
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    Content
    Introduction.- Ontology Development.- Compliance using Metadata.- Variety Management for Big Data.- Text Mining in Economics.- Generation of Natural Language Texts.- Sentiment Analysis.- Building Concise Text Corpora from Web Contents.- Ontology-Based Modelling of Web Content.- Personalized Clinical Decision Support for Cancer Care.- Applications of Temporal Conceptual Semantic Systems.- Context-Aware Documentation in the Smart Factory.- Knowledge-Based Production Planning for Industry 4.0.- Information Exchange in Jurisdiction.- Supporting Automated License Clearing.- Managing cultural assets: Implementing typical cultural heritage archive's usage scenarios via Semantic Web technologies.- Semantic Applications for Process Management.- Domain-Specific Semantic Search Applications.
    LCSH
    Information storage and retrieval
    Management information systems
    Information Systems Applications (incl. Internet)
    Management of Computing and Information Systems
    Information Storage and Retrieval
    RSWK
    Wissensbasiertes System
    Information Retrieval
    Semantic Web
    Subject
    Wissensbasiertes System
    Information Retrieval
    Semantic Web
    Information storage and retrieval
    Management information systems
    Information Systems Applications (incl. Internet)
    Management of Computing and Information Systems
    Information Storage and Retrieval
    Theme
    Semantic Web
  13. Goh, A.; Hui, S.C.: TES: a text extraction system (1996) 0.09
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    Abstract
    With the onset of the information explosion arising from digital libraries and access to a wealth of information through the Internet, the need to efficiently determine the relevance of a document becomes even more urgent. Describes a text extraction system (TES), which retrieves a set of sentences from a document to form an indicative abstract. Such an automated process enables information to be filtered more quickly. Discusses the combination of various text extraction techniques. Compares results with manually produced abstracts
    Date
    26. 2.1997 10:22:43
    Source
    Microcomputers for information management. 13(1996) no.1, S.41-55
  14. Multi-source, multilingual information extraction and summarization (2013) 0.08
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    Abstract
    Information extraction (IE) and text summarization (TS) are powerful technologies for finding relevant pieces of information in text and presenting them to the user in condensed form. The ongoing information explosion makes IE and TS critical for successful functioning within the information society. These technologies face particular challenges due to the inherent multi-source nature of the information explosion. The technologies must now handle not isolated texts or individual narratives, but rather large-scale repositories and streams---in general, in multiple languages---containing a multiplicity of perspectives, opinions, or commentaries on particular topics, entities or events. There is thus a need to adapt existing techniques and develop new ones to deal with these challenges. This volume contains a selection of papers that present a variety of methodologies for content identification and extraction, as well as for content fusion and regeneration. The chapters cover various aspects of the challenges, depending on the nature of the information sought---names vs. events,--- and the nature of the sources---news streams vs. image captions vs. scientific research papers, etc. This volume aims to offer a broad and representative sample of studies from this very active research field.
    RSWK
    Natürlichsprachiges System / Information Extraction / Automatische Inhaltsanalyse / Zusammenfassung / Aufsatzsammlung
    Subject
    Natürlichsprachiges System / Information Extraction / Automatische Inhaltsanalyse / Zusammenfassung / Aufsatzsammlung
  15. Riloff, E.: ¬An empirical study of automated dictionary construction for information extraction in three domains (1996) 0.08
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    Abstract
    AutoSlog is a system that addresses the knowledge engineering bottleneck for information extraction. AutoSlog automatically creates domain specific dictionaries for information extraction, given an appropriate training corpus. Describes experiments with AutoSlog in terrorism, joint ventures and microelectronics domains. Compares the performance of AutoSlog across the 3 domains, discusses the lessons learned and presents results from 2 experiments which demonstrate that novice users can generate effective dictionaries using AutoSlog
    Date
    6. 3.1997 16:22:15
  16. Heidorn, P.B.; Wei, Q.: Automatic metadata extraction from museum specimen labels (2008) 0.08
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    Abstract
    This paper describes the information properties of museum specimen labels and machine learning tools to automatically extract Darwin Core (DwC) and other metadata from these labels processed through Optical Character Recognition (OCR). The DwC is a metadata profile describing the core set of access points for search and retrieval of natural history collections and observation databases. Using the HERBIS Learning System (HLS) we extract 74 independent elements from these labels. The automated text extraction tools are provided as a web service so that users can reference digital images of specimens and receive back an extended Darwin Core XML representation of the content of the label. This automated extraction task is made more difficult by the high variability of museum label formats, OCR errors and the open class nature of some elements. In this paper we introduce our overall system architecture, and variability robust solutions including, the application of Hidden Markov and Naïve Bayes machine learning models, data cleaning, use of field element identifiers, and specialist learning models. The techniques developed here could be adapted to any metadata extraction situation with noisy text and weakly ordered elements.
    Source
    Metadata for semantic and social applications : proceedings of the International Conference on Dublin Core and Metadata Applications, Berlin, 22 - 26 September 2008, DC 2008: Berlin, Germany / ed. by Jane Greenberg and Wolfgang Klas
  17. Information Retrieval : GI/GMD-Workshop, Darmstadt, 23.-24.6.1991: Proceedings (1991) 0.08
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    Content
    Enthält die Beiträge: FREI, H.P. u.a.: The perils of interpreting recall and precision values; FREI, H.P. u. S. MEIENBERG: Evaluating weighted search terms as Boolean queries; TZERAS, K.: Zur Aufwandsabschätzung bei der Entwicklung eines Indexierungswörterbuches; PFEIFER, U.: Entwicklung linear-iterativer und logistischer Indexierungsfunktionen; WILLENBORG, J.: ATLAS-Pflesaurus: ein objektorientiertes System zur Unterstützung der Thesauruspflege; MUHR, T.: ATLAS/ti: ein Interpretations-Unterstüzungs-System; AMSTUTZ, H. u. B. HOLLÄNDER-THÖNSSEN: Elektronische Ablage und Archivierung auf der Basiseines Database Management Information Retrieval Systems: Die Bedürfnisse - Das Angebot - Die Realität; ENGLMEIER, K.: WIDAB: Konzeption und Pilotrealisierung eines experimentellen Retrieval-Systems; AUGSBURGER, W. u.a.: Wissensbasiertes, inhaltsorientiertes Retrieval statistischer Daten mit EISREVU; MÜNZENBERGER, M.: Forensisches Informationssystem Handschriften: ein Beispiel für ein klassifizierendes Rechercheverfahren; HERRMANN, J. u. D. MEISER: Suche in Volltextdatenbanken mit Unterstützung von Hypertext; MERKL, D. u.a.: Eine Hypertext-Benutzerschnittstelle für ein juristisches Voltext Information Retrieval System; HERCZEG, J. u.a.: HyperQuery: ein Anfragesystem mit graphischer Benutzeroberfläche
  18. Kara, S.: ¬An ontology-based retrieval system using semantic indexing (2012) 0.07
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    Abstract
    In this thesis, we present an ontology-based information extraction and retrieval system and its application to soccer domain. In general, we deal with three issues in semantic search, namely, usability, scalability and retrieval performance. We propose a keyword-based semantic retrieval approach. The performance of the system is improved considerably using domain-specific information extraction, inference and rules. Scalability is achieved by adapting a semantic indexing approach. The system is implemented using the state-of-the-art technologies in SemanticWeb and its performance is evaluated against traditional systems as well as the query expansion methods. Furthermore, a detailed evaluation is provided to observe the performance gain due to domain-specific information extraction and inference. Finally, we show how we use semantic indexing to solve simple structural ambiguities.
    Source
    Information Systems. 37(2012) no. 4, S.294-305
    Theme
    Semantic Web
  19. Debenham, J.: Knowledge engineering : unifying knowledge base and database design (1998) 0.07
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    Abstract
    This systematic and detailed monograph describes a design methodology for knowledge-based systems. Such systems contain knowledge as well as information and data. The information and data can be modeled and implemented as a database. The knowledge can be implemented either in a programming language or in an expert systems shell. The methodology has 2 special features: it is unified, i.e., it represents the data, information, and knowledge in a homogeneous manner, as well as the relationships between them. Also, it builds a maintenance mechanism into the design. A special benefit of the book is its thourough treatment of constraints for knowledge and for knowledge-based systems. Presenting the material in both a formal and a practical way, it is intended for practitioners as well as researchers and advanced students
    RSWK
    Wissensbasiertes System / Deduktives Datenbanksystem (21)
    Subject
    Wissensbasiertes System / Deduktives Datenbanksystem (21)
  20. Intelligent hypertext : Advanced techniques for the World Wide Web (1997) 0.07
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    Abstract
    This book constitutes a coherent anthology consisting of invited chapter-length papers on intelligent hypertext techniques with special emphasis on how to apply these techniques to the WWW. The book provides an introductory preface, chapters on information comprehension through hypertext, efficient techniques for adaptive hypermedia, annotated 3D environments on the Web, user models for customized hypertext, conceptual analysis of hypertext, two-level models of hypertext, the TELLTALE dynamic hypertext environment, hypertext for collaborative authoring, information retrieval and information agents
    LCSH
    World Wide Web (Information retrieval system)
    RSWK
    World wide web / Hypertext / Aufsatzsammlung (213)
    Subject
    World Wide Web (Information retrieval system)
    World wide web / Hypertext / Aufsatzsammlung (213)

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