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  • × type_ss:"el"
  • × theme_ss:"Semantic Web"
  1. Eckert, K.: SKOS: eine Sprache für die Übertragung von Thesauri ins Semantic Web (2011) 0.02 
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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
  2. Cazan, C.: Medizinische Ontologien : das Ende des MeSH (2006) 0.01 
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    Abstract
    Die Komplexizität medizinischer Fragestellungen und des medizinischen Informationsmanagements war seit den Anfängen der Informatik immer ein besonders wichtiges Thema. Trotz des Scheiterns der Künstlichen Intelligenz in den 80er Jahren des vorigen Jahrhunderts haben deren Kernideen Früchte getragen. Durch kongruente Entwicklung einer Reihe anderer Wissenschaftsdisziplinen und der exponentiellen Entwicklung im Bereich Computerhardware konnten die gestellten, hohen Anforderungen bei der medizinischen Informationssuche doch noch erfüllt werden. Die programmatische Forderung von Tim Berners-Lee betreffend "Semantic Web" im Jahr 2000 hat dem Thema Ontologien für maschinenlesbare Repositorien in Allgemein- und Fachsprache breitere Aufmerksamkeit gewonnen. Da in der Medizin (PubMed) mit dem von NLM schon vor 20 Jahren entwickelten Unified Medical Language System (UMLS) eine funktionierende Ontologie in Form eines semantischen Netzes in Betrieb ist, ist es auch für Medizinbibliothekare und Medizindokumentare hoch an der Zeit, sich damit zu beschäftigen. Ontologien können im Wesen, trotz der informatisch vernebelnden Terminologie, als Werkzeuge der Klassifikation verstanden werden. Hier sind von seiten der Bibliotheks- und Dokumentationswissenschaft wesentliche Beiträge möglich. Der vorliegende Bericht bietet einen Einstieg in das Thema, erklärt wesentliche Elemente des UMLS und schließt mit einer kommentierten Anmerkungs- und Literaturliste für die weitere Beschäftigung mit Ontologien.
  3. Firnkes, M.: Schöne neue Welt : der Content der Zukunft wird von Algorithmen bestimmt (2015) 0.01 
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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
    Theme
    Internet
  4. Heflin, J.; Hendler, J.: Semantic interoperability on the Web (2000) 0.01 
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    Abstract
    XML will have a profound impact on the way data is exchanged on the Internet. An important feature of this language is the separation of content from presentation, which makes it easier to select and/or reformat the data. However, due to the likelihood of numerous industry and domain specific DTDs, those who wish to integrate information will still be faced with the problem of semantic interoperability. In this paper we discuss why this problem is not solved by XML, and then discuss why the Resource Description Framework is only a partial solution. We then present the SHOE language, which we feel has many of the features necessary to enable a semantic web, and describe an existing set of tools that make it easy to use the language.
    Date
    11. 5.2013 19:22:18
  5. Scheir, P.; Pammer, V.; Lindstaedt, S.N.: Information retrieval on the Semantic Web : does it exist? (2007) 0.01 
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    Content
    Enthält einen Überblick über Modelle, Systeme und Projekte
  6. Hüsken, P.: Information Retrieval im Semantic Web (2006) 0.00 
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    Content
    Diplomarbeit am Fachbereich Informatik der Universität Dortmund
  7. Dextre Clarke, S.G.: Challenges and opportunities for KOS standards (2007) 0.00 
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    Date
    22. 9.2007 15:41:14
  8. Broughton, V.: Automatic metadata generation : Digital resource description without human intervention (2007) 0.00 
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    Date
    22. 9.2007 15:41:14
  9. Tudhope, D.: Knowledge Organization System Services : brief review of NKOS activities and possibility of KOS registries (2007) 0.00 
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    Date
    22. 9.2007 15:41:14
  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. OWL Web Ontology Language Test Cases (2004) 0.00 
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    Date
    14. 8.2011 13:33:22
  12. Gómez-Pérez, A.; Corcho, O.: Ontology languages for the Semantic Web (2015) 0.00 
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    Abstract
    Ontologies have proven to be an essential element in many applications. They are used in agent systems, knowledge management systems, and e-commerce platforms. They can also generate natural language, integrate intelligent information, provide semantic-based access to the Internet, and extract information from texts in addition to being used in many other applications to explicitly declare the knowledge embedded in them. However, not only are ontologies useful for applications in which knowledge plays a key role, but they can also trigger a major change in current Web contents. This change is leading to the third generation of the Web-known as the Semantic Web-which has been defined as "the conceptual structuring of the Web in an explicit machine-readable way."1 This definition does not differ too much from the one used for defining an ontology: "An ontology is an explicit, machinereadable specification of a shared conceptualization."2 In fact, new ontology-based applications and knowledge architectures are developing for this new Web. A common claim for all of these approaches is the need for languages to represent the semantic information that this Web requires-solving the heterogeneous data exchange in this heterogeneous environment. Here, we don't decide which language is best of the Semantic Web. Rather, our goal is to help developers find the most suitable language for their representation needs. The authors analyze the most representative ontology languages created for the Web and compare them using a common framework.
  13. Mayfield, J.; Finin, T.: Information retrieval on the Semantic Web : integrating inference and retrieval 0.00 
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    Date
    12. 2.2011 17:35:22
  14. 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
    26.12.2011 13:40:22
  15. Radhakrishnan, A.: Swoogle : an engine for the Semantic Web (2007) 0.00 
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    Content
    "Swoogle, the Semantic web search engine, is a research project carried out by the ebiquity research group in the Computer Science and Electrical Engineering Department at the University of Maryland. It's an engine tailored towards finding documents on the semantic web. The whole research paper is available here. Semantic web is touted as the next generation of online content representation where the web documents are represented in a language that is not only easy for humans but is machine readable (easing the integration of data as never thought possible) as well. And the main elements of the semantic web include data model description formats such as Resource Description Framework (RDF), a variety of data interchange formats (e.g. RDF/XML, Turtle, N-Triples), and notations such as RDF Schema (RDFS), the Web Ontology Language (OWL), all of which are intended to provide a formal description of concepts, terms, and relationships within a given knowledge domain (Wikipedia). And Swoogle is an attempt to mine and index this new set of web documents. The engine performs crawling of semantic documents like most web search engines and the search is available as web service too. The engine is primarily written in Java with the PHP used for the front-end and MySQL for database. Swoogle is capable of searching over 10,000 ontologies and indexes more that 1.3 million web documents. It also computes the importance of a Semantic Web document. The techniques used for indexing are the more google-type page ranking and also mining the documents for inter-relationships that are the basis for the semantic web. For more information on how the RDF framework can be used to relate documents, read the link here. Being a research project, and with a non-commercial motive, there is not much hype around Swoogle. However, the approach to indexing of Semantic web documents is an approach that most engines will have to take at some point of time. When the Internet debuted, there were no specific engines available for indexing or searching. The Search domain only picked up as more and more content became available. One fundamental question that I've always wondered about it is - provided that the search engines return very relevant results for a query - how to ascertain that the documents are indeed the most relevant ones available. There is always an inherent delay in indexing of document. Its here that the new semantic documents search engines can close delay. Experimenting with the concept of Search in the semantic web can only bore well for the future of search technology."
  16. Singh, A.; Sinha, U.; Sharma, D.k.: Semantic Web and data visualization (2020) 0.00 
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    Abstract
    With the terrific growth of data volume and data being produced every second on millions of devices across the globe, there is a desperate need to manage the unstructured data available on web pages efficiently. Semantic Web or also known as Web of Trust structures the scattered data on the Internet according to the needs of the user. It is an extension of the World Wide Web (WWW) which focuses on manipulating web data on behalf of Humans. Due to the ability of the Semantic Web to integrate data from disparate sources and hence makes it more user-friendly, it is an emerging trend. Tim Berners-Lee first introduced the term Semantic Web and since then it has come a long way to become a more intelligent and intuitive web. Data Visualization plays an essential role in explaining complex concepts in a universal manner through pictorial representation, and the Semantic Web helps in broadening the potential of Data Visualization and thus making it an appropriate combination. The objective of this chapter is to provide fundamental insights concerning the semantic web technologies and in addition to that it also elucidates the issues as well as the solutions regarding the semantic web. The purpose of this chapter is to highlight the semantic web architecture in detail while also comparing it with the traditional search system. It classifies the semantic web architecture into three major pillars i.e. RDF, Ontology, and XML. Moreover, it describes different semantic web tools used in the framework and technology. It attempts to illustrate different approaches of the semantic web search engines. Besides stating numerous challenges faced by the semantic web it also illustrates the solutions.
  17. Monireh, E.; Sarker, M.K.; Bianchi, F.; Hitzler, P.; Doran, D.; Xie, N.: Reasoning over RDF knowledge bases using deep learning (2018) 0.00 
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    Date
    16.11.2018 14:22:01

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