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  1. Resource Description Framework (RDF) (2004) 0.01
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    Abstract
    The Resource Description Framework (RDF) integrates a variety of applications from library catalogs and world-wide directories to syndication and aggregation of news, software, and content to personal collections of music, photos, and events using XML as an interchange syntax. The RDF specifications provide a lightweight ontology system to support the exchange of knowledge on the Web. The W3C Semantic Web Activity Statement explains W3C's plans for RDF, including the RDF Core WG, Web Ontology and the RDF Interest Group.
  2. OWL Web Ontology Language Use Cases and Requirements (2004) 0.01
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    Abstract
    This document specifies usage scenarios, goals and requirements for a web ontology language. An ontology formally defines a common set of terms that are used to describe and represent a domain. Ontologies can be used by automated tools to power advanced services such as more accurate web search, intelligent software agents and knowledge management.
  3. Li, Z.: ¬A domain specific search engine with explicit document relations (2013) 0.01
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    Date
    18. 3.2014 16:23:48
    Imprint
    Stockholm : KTH Electrical Engineering
  4. Miles, A.: SKOS: requirements for standardization (2006) 0.01
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    Abstract
    This paper poses three questions regarding the planned development of the Simple Knowledge Organisation System (SKOS) towards W3C Recommendation status. Firstly, what is the fundamental purpose and therefore scope of SKOS? Secondly, which key software components depend on SKOS, and how do they interact? Thirdly, what is the wider technological and social context in which SKOS is likely to be applied and how might this influence design goals? Some tentative conclusions are drawn and in particular it is suggested that the scope of SKOS be restricted to the formal representation of controlled structured vocabularies intended for use within retrieval applications. However, the main purpose of this paper is to articulate the assumptions that have motivated the design of SKOS, so that these may be reviewed prior to a rigorous standardization initiative.
  5. Hüsken, P.: Information Retrieval im Semantic Web (2006) 0.01
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    Abstract
    Das Semantic Web bezeichnet ein erweitertes World Wide Web (WWW), das die Bedeutung von präsentierten Inhalten in neuen standardisierten Sprachen wie RDF Schema und OWL modelliert. Diese Arbeit befasst sich mit dem Aspekt des Information Retrieval, d.h. es wird untersucht, in wie weit Methoden der Informationssuche sich auf modelliertes Wissen übertragen lassen. Die kennzeichnenden Merkmale von IR-Systemen wie vage Anfragen sowie die Unterstützung unsicheren Wissens werden im Kontext des Semantic Web behandelt. Im Fokus steht die Suche nach Fakten innerhalb einer Wissensdomäne, die entweder explizit modelliert sind oder implizit durch die Anwendung von Inferenz abgeleitet werden können. Aufbauend auf der an der Universität Duisburg-Essen entwickelten Retrievalmaschine PIRE wird die Anwendung unsicherer Inferenz mit probabilistischer Prädikatenlogik (pDatalog) implementiert.
    Content
    Diplomarbeit am Fachbereich Informatik der Universität Dortmund
  6. Christophides, V.; Plexousakis, D.; Scholl, M.; Tourtounis, S.: On labeling schemes for the Semantic Web (2003) 0.01
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    Date
    4. 7.1997 18:38:23
  7. Miller, E.; Schloss. B.; Lassila, O.; Swick, R.R.: Resource Description Framework (RDF) : model and syntax (1997) 0.01
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    Abstract
    RDF - the Resource Description Framework - is a foundation for processing metadata; it provides interoperability between applications that exchange machine-understandable information on the Web. RDF emphasizes facilities to enable automated processing of Web resources. RDF metadata can be used in a variety of application areas; for example: in resource discovery to provide better search engine capabilities; in cataloging for describing the content and content relationships available at a particular Web site, page, or digital library; by intelligent software agents to facilitate knowledge sharing and exchange; in content rating; in describing collections of pages that represent a single logical "document"; for describing intellectual property rights of Web pages, and in many others. RDF with digital signatures will be key to building the "Web of Trust" for electronic commerce, collaboration, and other applications. Metadata is "data about data" or specifically in the context of RDF "data describing web resources." The distinction between "data" and "metadata" is not an absolute one; it is a distinction created primarily by a particular application. Many times the same resource will be interpreted in both ways simultaneously. RDF encourages this view by using XML as the encoding syntax for the metadata. The resources being described by RDF are, in general, anything that can be named via a URI. The broad goal of RDF is to define a mechanism for describing resources that makes no assumptions about a particular application domain, nor defines the semantics of any application domain. The definition of the mechanism should be domain neutral, yet the mechanism should be suitable for describing information about any domain. This document introduces a model for representing RDF metadata and one syntax for expressing and transporting this metadata in a manner that maximizes the interoperability of independently developed web servers and clients. The syntax described in this document is best considered as a "serialization syntax" for the underlying RDF representation model. The serialization syntax is XML, XML being the W3C's work-in-progress to define a richer Web syntax for a variety of applications. RDF and XML are complementary; there will be alternate ways to represent the same RDF data model, some more suitable for direct human authoring. Future work may lead to including such alternatives in this document.
  8. Heery, R.; Wagner, H.: ¬A metadata registry for the Semantic Web (2002) 0.01
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    Abstract
    * Agencies maintaining directories of data elements in a domain area in accordance with ISO/IEC 11179 (This standard specifies good practice for data element definition as well as the registration process. Example implementations are the National Health Information Knowledgebase hosted by the Australian Institute of Health and Welfare and the Environmental Data Registry hosted by the US Environmental Protection Agency.); * The xml.org directory of the Extended Markup Language (XML) document specifications facilitating re-use of Document Type Definition (DTD), hosted by the Organization for the Advancement of Structured Information Standards (OASIS); * The MetaForm database of Dublin Core usage and mappings maintained at the State and University Library in Goettingen; * The Semantic Web Agreement Group Dictionary, a database of terms for the Semantic Web that can be referred to by humans and software agents; * LEXML, a multi-lingual and multi-jurisdictional RDF Dictionary for the legal world; * The SCHEMAS registry maintained by the European Commission funded SCHEMAS project, which indexes several metadata element sets as well as a large number of activity reports describing metadata related activities and initiatives. Metadata registries essentially provide an index of terms. Given the distributed nature of the Web, there are a number of ways this can be accomplished. For example, the registry could link to terms and definitions in schemas published by implementers and stored locally by the schema maintainer. Alternatively, the registry might harvest various metadata schemas from their maintainers. Registries provide 'added value' to users by indexing schemas relevant to a particular 'domain' or 'community of use' and by simplifying the navigation of terms by enabling multiple schemas to be accessed from one view. An important benefit of this approach is an increase in the reuse of existing terms, rather than users having to reinvent them. Merging schemas to one view leads to harmonization between applications and helps avoid duplication of effort. Additionally, the establishment of registries to index terms actively being used in local implementations facilitates the metadata standards activity by providing implementation experience transferable to the standards-making process.
  9. Firnkes, M.: Schöne neue Welt : der Content der Zukunft wird von Algorithmen bestimmt (2015) 0.00
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    Abstract
    Während das Internet vor noch nicht allzu langer Zeit hauptsächlich ein weiteres Informationsmedium darstellte, so explodieren die technischen Möglichkeiten derzeit förmlich. Diese stärken nicht nur den gegenseitigen Austausch der Nutzer. Sie alle vermessen unsere täglichen Gewohnheiten - auf sehr vielfältige Art und Weise. Die Mechanismen, die das gekaufte Web ausmachen, werden hierdurch komplexer. In den meisten neuen Technologien und Anwendungen verbergen sich Wege, die Verbraucherverführung zu perfektionieren. Nicht wenige davon dürften zudem für die Politik und andere Interessensverbände von Bedeutung sein, als alternativer Kanal, um Wählergruppen und Unterstützer zu mobilisieren. Das nachfolgende Kapitel nennt die wichtigsten Trends der nächsten Jahre, mitsamt ihren möglichen manipulativen Auswirkungen. Nur wenn wir beobachten, von wem die Zukunftstechniken wie genutzt werden, können wir kommerziellen Auswüchsen vorbeugen.
    Date
    5. 7.2015 22:02:31
  10. Brake, M.: ¬Das Semantische Web : Eine Vision in der Halbzeit (2005) 0.00
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    Abstract
    Mit der Veröffentlichung der ersten Website 1989 am CERN gab Timothy J. Berners-Lee den Startschuss für das WorldWideWeb, diesem ständig expandierenden Konvolut aus digitalisierten Daten, vernetzten Maschinen und Menschen. Mittlerweile nimmt das Netz für sich in Anspruch, das Weltwissen zu repräsentieren und hat in seiner Gesamtheit längst die klassische Vorstellung von einer Enzyklopädie abgelöst und übertroffen. Andererseits ist das Netz trotz geballter Wissensansammlung und Rechenpower immer noch dumm. Seit fast einer Dekade ist nun das "verständige" Internet in der Diskussion, die Semantic Web Days in München und die Semantics in Wien zogen eine Zwischenbilanz und zeigten ein mittlerweile weites Spektrum von Praxisanwendungen.
  11. Sigel, A.: Informationsintegration mit semantischen Wissenstechnologien (2006) 0.00
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    Abstract
    Das Tutorium vermittelt theoretische Grundlagen der wissensorganisatorischen (semantischen) Integration und zeigt auch einige praktische Beispiele. Die Integration bezieht sich auf die Ebenen: Integration von ähnlichen Einträgen in verschiedenen Ontologien (Begriffe und Beziehungen) sowie von Aussagen über gleiche Aussagegegenstände und zugehörige Informationsressourcen. Hierzu werden ausgewählte semantische Wissenstechnologien (Topic Maps und RDF) und -werkzeuge vorgestellt und mit wissensorganisatorischen Grundlagen verbunden (z.B. SKOS - Simple Knowledge Organization Systems, http://www.w3.org/2004/02/skos/, oder Published Resource Identifiers).
    Content
    Tutorium auf der 10. Deutschen ISKO-Tagung (Wissensorganisation 2006): Kompatibilität und Heterogenität in der Wissensorganisation Universität Wien, Montag 03. Juli 2006.
  12. Voß, J.: ¬Das Simple Knowledge Organisation System (SKOS) als Kodierungs- und Austauschformat der DDC für Anwendungen im Semantischen Web (2007) 0.00
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  13. Köstlbacher, A. (Übers.): OWL Web Ontology Language Überblick (2004) 0.00
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    Abstract
    Die OWL Web Ontology Language wurde entwickelt, um es Anwendungen zu ermöglichen den Inhalt von Informationen zu verarbeiten anstatt die Informationen dem Anwender nur zu präsentieren. OWL erleichtert durch zusätzliches Vokabular in Verbindung mit formaler Semantik stärkere Interpretationsmöglichkeiten von Web Inhalten als dies XML, RDF und RDFS ermöglichen. OWL besteht aus drei Untersprachen mit steigender Ausdrucksmächtigkeit: OWL Lite, OWL DL and OWL Full. Dieses Dokument wurde für Leser erstellt, die einen ersten Eindruck von den Möglichkeiten bekommen möchten, die OWL bietet. Es stellt eine Einführung in OWL anhand der Beschreibung der Merkmale der drei Untersprachen von OWL dar. Kenntnisse von RDF Schema sind hilfreich für das Verständnis, aber nicht unbedingt erforderlich. Nach der Lektüre dieses Dokuments können sich interessierte Leser für detailliertere Beschreibungen und ausführliche Beispiele der Merkmale von OWL dem OWL Guide zuwenden. Die normative formale Definition von OWL findet sich unter OWL Semantics and Abstract Syntax.
  14. Schreiber, G.: Proposals for principles of knowledge engineering in the 21st century (2009) 0.00
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  15. Eckert, K.: SKOS: eine Sprache für die Übertragung von Thesauri ins Semantic Web (2011) 0.00
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    Abstract
    Das Semantic Web - bzw. Linked Data - hat das Potenzial, die Verfügbarkeit von Daten und Wissen, sowie den Zugriff darauf zu revolutionieren. Einen großen Beitrag dazu können Wissensorganisationssysteme wie Thesauri leisten, die die Daten inhaltlich erschließen und strukturieren. Leider sind immer noch viele dieser Systeme lediglich in Buchform oder in speziellen Anwendungen verfügbar. Wie also lassen sie sich für das Semantic Web nutzen? Das Simple Knowledge Organization System (SKOS) bietet eine Möglichkeit, die Wissensorganisationssysteme in eine Form zu "übersetzen", die im Web zitiert und mit anderen Resourcen verknüpft werden kann.
    Date
    15. 3.2011 19:21:22
  16. Hollink, L.; Assem, M. van: Estimating the relevance of search results in the Culture-Web : a study of semantic distance measures (2010) 0.00
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    Date
    29. 7.2011 14:44:56
    26.12.2011 13:40:22
  17. Ulrich, W.: Simple Knowledge Organisation System (2007) 0.00
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    Content
    Semantic Web - Taxonomie und Thesaurus - SKOS - Historie - Klassen und Eigenschaften - Beispiele - Generierung - automatisiert - per Folksonomie - Fazit und Ausblick
  18. Proceedings of the 2nd International Workshop on Evaluation of Ontology-based Tools (2004) 0.00
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    Content
    Table of Contents Part I: Accepted Papers Christoph Tempich and Raphael Volz: Towards a benchmark for Semantic Web reasoners - an analysis of the DAML ontology library M. Carmen Suarez-Figueroa and Asuncion Gomez-Perez: Results of Taxonomic Evaluation of RDF(S) and DAML+OIL ontologies using RDF(S) and DAML+OIL Validation Tools and Ontology Platforms import services Volker Haarslev and Ralf Möller: Racer: A Core Inference Engine for the Semantic Web Mikhail Kazakov and Habib Abdulrab: DL-workbench: a metamodeling approach to ontology manipulation Thorsten Liebig and Olaf Noppens: OntoTrack: Fast Browsing and Easy Editing of Large Ontologie Frederic Fürst, Michel Leclere, and Francky Trichet: TooCoM : a Tool to Operationalize an Ontology with the Conceptual Graph Model Naoki Sugiura, Masaki Kurematsu, Naoki Fukuta, Noriaki Izumi, and Takahira Yamaguchi: A domain ontology engineering tool with general ontologies and text corpus Howard Goldberg, Alfredo Morales, David MacMillan, and Matthew Quinlan: An Ontology-Driven Application to Improve the Prescription of Educational Resources to Parents of Premature Infants Part II: Experiment Contributions Domain natural language description for the experiment Raphael Troncy, Antoine Isaac, and Veronique Malaise: Using XSLT for Interoperability: DOE and The Travelling Domain Experiment Christian Fillies: SemTalk EON2003 Semantic Web Export / Import Interface Test Óscar Corcho, Asunción Gómez-Pérez, Danilo José Guerrero-Rodríguez, David Pérez-Rey, Alberto Ruiz-Cristina, Teresa Sastre-Toral, M. Carmen Suárez-Figueroa: Evaluation experiment of ontology tools' interoperability with the WebODE ontology engineering workbench Holger Knublauch: Case Study: Using Protege to Convert the Travel Ontology to UML and OWL Franz Calvo and John Gennari: Interoperability of Protege 2.0 beta and OilEd 3.5 in the Domain Knowledge of Osteoporosis
  19. Kara, S.: ¬An ontology-based retrieval system using semantic indexing (2012) 0.00
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    Content
    Thesis submitted to the Graduate School of Natural and Applied Sciences of Middle East Technical University in partial fulfilment of the requirements for the degree of Master of science in Computer Engineering (XII, 57 S.)
  20. Singh, A.; Sinha, U.; Sharma, D.k.: Semantic Web and data visualization (2020) 0.00
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    Series
    Lecture notes on data engineering and communications technologies book series; vol.32
    Source
    Data visualization and knowledge engineering. Eds. J. Hemanth, et al