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  • × author_ss:"Sure, Y."
  1. Sure, Y.; Tempich, C.: Wissensvernetzung in Organisationen (2006) 0.03 
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    Abstract
    Das richtige Wissen zur richtigen Zeit zur Verfügung zu stellen, ist eines der Hauptziele im Wissensmanagement. Wissensmodellierung mit Ontologien bietet Lösungen für viele der dabei zu bewältigenden Aufgaben wie z. B. der Vernetzung von unterschiedlichen Wissensträgern und Wissensquellen und hat sich als integraler Bestandteil zahlreicher Wissensmanagementanwendungen etabliert. Getrieben durch neue Organisationsparadigmen wie z. B. Virtuelle Organisationen und neue Kommunikationsparadigmen wie z. B. Peer-To-Peer gewinnt dezentrales Wissensmanagement zunehmend an Bedeutung. Insbesondere gibt es in solchen Umgebungen auch neue Herausforderungen für die Modellierung von Wissen wie z. B. Einigung bei der Modellierung in verteilten Umgebungen. In diesem Kapitel wird die Methodik DILIGENT zur Erstellung, Wartung und Pflege von Ontologien in verteilten und dynamischen Umgebungen vorgestellt und anhand praktischer Beispiele veranschaulicht. Neben dem zugrunde liegenden Prozessmodell zur Wissensmodellierung wird schwerpunktartig die Unterstützung von Argumentationen während der Wissensmodellierung in verteilten Umgebungen beleuchtet, welche den dezentralen Einigungsprozess unterstützt.
    Source
    Semantic Web: Wege zur vernetzten Wissensgesellschaft. Hrsg.: T. Pellegrini, u. A. Blumauer
  2. Mayr, P.; Zapilko, B.; Sure, Y.: ¬Ein Mehr-Thesauri-Szenario auf Basis von SKOS und Crosskonkordanzen (2010) 0.02 
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    Abstract
    Im August 2009 wurde SKOS "Simple Knowledge Organization System" als neuer Standard für web-basierte kontrollierte Vokabulare durch das W3C veröffentlicht1. SKOS dient als Datenmodell, um kontrollierte Vokabulare über das Web anzubieten sowie technisch und semantisch interoperabel zu machen. Perspektivisch kann die heterogene Landschaft der Erschließungsvokabulare über SKOS vereinheitlicht und vor allem die Inhalte der klassischen Datenbanken (Bereich Fachinformation) für Anwendungen des Semantic Web, beispielsweise als Linked Open Data2 (LOD), zugänglich und stär-ker miteinander vernetzt werden. Vokabulare im SKOS-Format können dabei eine relevante Funktion einnehmen, indem sie als standardisiertes Brückenvokabular dienen und semantische Verlinkung zwischen erschlossenen, veröffentlichten Daten herstellen. Die folgende Fallstudie skizziert ein Szenario mit drei thematisch verwandten Thesauri, die ins SKOS-Format übertragen und inhaltlich über Crosskonkordanzen aus dem Projekt KoMoHe verbunden werden. Die Mapping Properties von SKOS bieten dazu standardisierte Relationen, die denen der Crosskonkordanzen entsprechen. Die beteiligten Thesauri der Fallstudie sind a) TheSoz (Thesaurus Sozialwissenschaften, GESIS), b) STW (Standard-Thesaurus Wirtschaft, ZBW) und c) IBLK-Thesaurus (SWP).
    Theme
    Semantische Interoperabilität
  3. Hitzler, P.; Krötzsch, M.; Rudolph, S.; Sure, Y.: Semantic Web : Grundlagen (2008) 0.01 
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    Abstract
    Das Buch Semantic Web Grundlagen vermittelt als erstes deutschsprachiges Lehrbuch die Grundlagen des Semantic Web in verständlicher Weise. Es ermöglicht einen einfachen und zügigen Einstieg in Methoden und Technologien des Semantic Web und kann z.B. als solide Grundlage für die Vorbereitung und Durchführung von Vorlesungen genutzt werden. Die Autoren trennen dabei sauber zwischen einer intuitiven Hinführung zur Verwendung semantischer Technologien in der Praxis einerseits, und der Erklärung formaler und theoretischer Hintergründe andererseits. Nur für letzteres werden Grundkenntnisse in Logik vorausgesetzt, die sich bei Bedarf jedoch durch zusätzliche Lektüre und mit Hilfe eines entsprechenden Kapitels im Anhang aneignen lassen.Das Lehrbuch richtet sich primär an Studenten mit Grundkenntnissen in Informatik sowie an interessierte Praktiker welche sich im Bereich Semantic Web fortbilden möchten.
    Classification
    ST 252 Informatik / Monographien / Software und -entwicklung / Web-Programmierung, allgemein
    Content
    Inhalt: Die Idee des Semantic Web - Stuktur mit XML - Einfache Ontologien in RDF und RDF Schema - Formale Semantik von RDF(S) - Ontologien in OWL - Ontologien in OWL - Formale Semantik von OWL - Anfragesprachen - Pradikatenlogik - kurzgefasst - Naive Mengenlehre - kurzgefasst
    RSWK
    Semantic Web
    Semantic Web / Lehrbuch (BVB)
    RVK
    ST 252 Informatik / Monographien / Software und -entwicklung / Web-Programmierung, allgemein
    Subject
    Semantic Web
    Semantic Web / Lehrbuch (BVB)
    Theme
    Semantic Web
  4. Zapilko, B.; Sure, Y.: Neue Möglichkeiten für die Wissensorganisation durch die Kombination von Digital Library Verfahren mit Standards des Semantic Web (2013) 0.01 
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    Abstract
    Entwicklungen und Technologien des Semantic Web treffen seit einigen Jahren verstärkt auf die Bibliotheks- und Dokumentationswelt, um das dort seit Jahrzehnten gesammelte und gepflegte Wissen für das Web und seine Nurzer zugänglich und weiter verarbeitbar zu machen. Dabei können beide Lager von einer Öffnung gegenüber den Verfahren des jeweils anderen und den daraus resultierenden Möglichkeiten, beispielsweise einer integrierten Recherche in verteilten und semantisch angereicherten Dokumentbeständen oder der Anreicherung eigener Bestände um Inhalte anderer, frei verfügbarer Bestände, profitieren. Dieses Paper stellt die Reformulierung eines gängigen informationswissenschaftlichen Verfahrens aus der Dokumentations- und Bibliothekswelt, des sogenannten SchalenmodeIls, vor und zeigt neues Potenzial und neue Möglichkeiten für die Wissensorganisation auf, die durch dessen Anwendung im Semantic Web entstehen können. Darüber hinaus werden erste praktische Ergebnisse der Vorarbeiten dieser Reformulierung präsentiert, die Transformation eines Thesaurus ins SKOS-Format.
    Theme
    Semantic Web
  5. Sure, Y.; Erdmann, M.; Studer, R.: OntoEdit: collaborative engineering of ontologies (2004) 0.00 
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    Abstract
    Developing ontologies is central to our vision of Semantic Web-based knowledge management. The methodology described in Chapter 3 guides the development of ontologies for different applications. However, because of the size of ontologies, their complexity, their formal underpinnings and the necessity to come towards a shared understanding within a group of people when defining an ontology, ontology construction is still far from being a well-understood process. Concerning the methodology, OntoEdit focuses on three of the main steps for ontology development (the methodology is described in Chapter 3), viz. the kick off, refinement, and evaluation. We describe the steps supported by OntoEdit and focus on collaborative aspects that occur during each of the step. First, all requirements of the envisaged ontology are collected during the kick off phase. Typically for ontology engineering, ontology engineers and domain experts are joined in a team that works together on a description of the domain and the goal of the ontology, design guidelines, available knowledge sources (e.g. re-usable ontologies and thesauri, etc.), potential users and use cases and applications supported by the ontology. The output of this phase is a semiformal description of the ontology. Second, during the refinement phase, the team extends the semi-formal description in several iterations and formalizes it in an appropriate representation language like RDF(S) or, more advanced, DAML1OIL. The output of this phase is a mature ontology (the 'target ontology'). Third, the target ontology needs to be evaluated according to the requirement specifications. Typically this phase serves as a proof for the usefulness of ontologies (and ontology-based applications) and may involve the engineering team as well as end users of the targeted application. The output of this phase is an evaluated ontology, ready for roll-out into a productive environment. Support for these collaborative development steps within the ontology development methodology is crucial in order to meet the conflicting needs for ease of use and construction of complex ontology structures. We now illustrate OntoEdit's support for each of the supported steps. The examples shown are taken from the Swiss Life case study on skills management (cf. Chapter 12).
    Source
    Towards the semantic Web: ontology-driven knowledge management. Eds.: J. Davies, u.a
    Theme
    Semantic Web
  6. Staab, S.; Studer, R.; Sure, Y.; Volz, R.: SEAL - a SEmantic portAL with content management functionality (2002) 0.00 
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    Abstract
    "OntoWeb" is an European Union IST-funded thematic network for "Ontology-based information exchange for knowledge management and electronic commerce". The corresponding OntoWeb portal constitutes a Web-based research information system that is driven by some of the technologies which it reports about. In this paper, we present the core methodology underlying the OntoWeb portal, viz. SEAL (SEmantic portAL). In particular, we describe some of the core challenges that SEAL must meet. Because of the distributed nature of research information, SEAL has been developed as a methodology that integrates heterogeneous information from distributed resources. Because of the complexity of the application domain, SEAL is based an ontologies about research information that greatly contribute to the combined goals of low-effort information integration and user-friendly information presentation. Because of the high quality requirements obliged onto the OntoWeb portal, SEAL has been extended with content management functionality supporting portal editors in their process to rule out undesirable content.
  7. Sure, Y.; Studer, R.: ¬A methodology for ontology-based knowledge management (2004) 0.00 
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    Source
    Towards the semantic Web: ontology-driven knowledge management. Eds.: J. Davies, u.a
  8. Krötzsch, M.; Hitzler, P.; Ehrig, M.; Sure, Y.: Category theory in ontology research : concrete gain from an abstract approach (2004 (?)) 0.00 
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    Theme
    Semantische Interoperabilität
  9. Mayr, P.; Mutschke, P.; Petras, V.; Schaer, P.; Sure, Y.: Applying science models for search (2010) 0.00 
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    Abstract
    The paper proposes three different kinds of science models as value-added services that are integrated in the retrieval process to enhance retrieval quailty. The paper discusses the approaches Search Term Recommendation, Bradfordizing and Author Centrality on a general level and addresses implementation issues of the models within a real-life retrieval environment.

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