Search (139 results, page 7 of 7)

  • × theme_ss:"Semantic Web"
  • × year_i:[2010 TO 2020}
  1. Bizer, C.; Mendes, P.N.; Jentzsch, A.: Topology of the Web of Data (2012) 0.00 
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    Abstract
    The degree of structure of Web content is the determining factor for the types of functionality that search engines can provide. The more well structured the Web content is, the easier it is for search engines to understand Web content and provide advanced functionality, such as faceted filtering or the aggregation of content from multiple Web sites, based on this understanding. Today, most Web sites are generated from structured data that is stored in relational databases. Thus, it does not require too much extra effort for Web sites to publish this structured data directly on the Web in addition to HTML pages, and thus help search engines to understand Web content and provide improved functionality. An early approach to realize this idea and help search engines to understand Web content is Microformats, a technique for markingup structured data about specific types on entities-such as tags, blog posts, people, or reviews-within HTML pages. As Microformats are focused on a few entity types, the World Wide Web Consortium (W3C) started in 2004 to standardize RDFa as an alternative, more generic language for embedding any type of data into HTML pages. Today, major search engines such as Google, Yahoo, and Bing extract Microformat and RDFa data describing products, reviews, persons, events, and recipes from Web pages and use the extracted data to improve the user's search experience. The search engines have started to aggregate structured data from different Web sites and augment their search results with these aggregated information units in the form of rich snippets which combine, for instance, data This chapter gives an overview of the topology of the Web of Data that has been created by publishing data on the Web using the microformats RDFa, Microdata and Linked Data publishing techniques.
  2. Sakr, S.; Wylot, M.; Mutharaju, R.; Le-Phuoc, D.; Fundulaki, I.: Linked data : storing, querying, and reasoning (2018) 0.00 
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    Abstract
    This book describes efficient and effective techniques for harnessing the power of Linked Data by tackling the various aspects of managing its growing volume: storing, querying, reasoning, provenance management and benchmarking. To this end, Chapter 1 introduces the main concepts of the Semantic Web and Linked Data and provides a roadmap for the book. Next, Chapter 2 briefly presents the basic concepts underpinning Linked Data technologies that are discussed in the book. Chapter 3 then offers an overview of various techniques and systems for centrally querying RDF datasets, and Chapter 4 outlines various techniques and systems for efficiently querying large RDF datasets in distributed environments. Subsequently, Chapter 5 explores how streaming requirements are addressed in current, state-of-the-art RDF stream data processing. Chapter 6 covers performance and scaling issues of distributed RDF reasoning systems, while Chapter 7 details benchmarks for RDF query engines and instance matching systems. Chapter 8 addresses the provenance management for Linked Data and presents the different provenance models developed. Lastly, Chapter 9 offers a brief summary, highlighting and providing insights into some of the open challenges and research directions. Providing an updated overview of methods, technologies and systems related to Linked Data this book is mainly intended for students and researchers who are interested in the Linked Data domain. It enables students to gain an understanding of the foundations and underpinning technologies and standards for Linked Data, while researchers benefit from the in-depth coverage of the emerging and ongoing advances in Linked Data storing, querying, reasoning, and provenance management systems. Further, it serves as a starting point to tackle the next research challenges in the domain of Linked Data management.
  3. Vatant, B.: Porting library vocabularies to the Semantic Web, and back : a win-win round trip (2010) 0.00 
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  4. Göbel, R.: Semantic Web & Linked Data für professionelle Informationsangebote : Hoffnungsträger oder "alter Hut" - Eine Praxisbetrachtung für die Wirtschaftsinformationen (2010) 0.00 
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  5. Ducker, S.; Linten, M.: Bedarfsgerecht, kontextbezogen, qualitätsgesichert : Von der Information zum Wertschöpfungsfaktor Wissen am Beispiel einer Wissenslandkarte als dynamisches System zur Repräsentation des Wissens in der Berufsbildungsforschung (2010) 0.00 
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  6. Flores-Herr, N.; Sack, H.; Bossert, K.: Suche in Multimediaarchiven von Kultureinrichtungen (2011) 0.00 
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  7. Zapilko, B.; Sure, Y.: Neue Möglichkeiten für die Wissensorganisation durch die Kombination von Digital Library Verfahren mit Standards des Semantic Web (2013) 0.00 
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  8. Metadata and semantics research : 5th International Conference, MTSR 2011, Izmir, Turkey, October 12-14, 2011. Proceedings (2011) 0.00 
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    Editor
    Öztürk, A.
  9. Borst, T.: Repositorien auf ihrem Weg in das Semantic Web : semantisch hergeleitete Interoperabilität als Zielstellung für künftige Repository-Entwicklungen (2014) 0.00 
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  10. Hanke, M.: Bibliothekarische Klassifikationssysteme im semantischen Web : zu Chancen und Problemen von Linked-data-Repräsentationen ausgewählter Klassifikationssysteme (2014) 0.00 
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  11. Grabsch, S.; Jürgens, M.: ¬Der Digitale Wissensspeicher der Berlin-Brandenburgischen Akademie der Wissenschaften : Möglichkeiten und Herausforderungen der Verknüpfung heterogener geisteswissenschaftlicher Inhalte und Metadaten (2017) 0.00 
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  12. Borst, T.; Löhden, A.; Neubert, J.; Pohl, A.: "Linked Open Data" im Fokus : Spannende Themen und Diskussionen bei der SWIB12 (2013) 0.00 
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  13. Meyer, A.: Begriffsrelationen im Kategoriensystem der Wikipedia : Entwicklung eines Relationeninventars zur kollaborativen Anwendung (2010) 0.00 
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  14. Bergamaschi, S.; Domnori, E.; Guerra, F.; Rota, S.; Lado, R.T.; Velegrakis, Y.: Understanding the semantics of keyword queries on relational data without accessing the instance (2012) 0.00 
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    Abstract
    The birth of the Web has brought an exponential growth to the amount of the information that is freely available to the Internet population, overloading users and entangling their efforts to satisfy their information needs. Web search engines such Google, Yahoo, or Bing have become popular mainly due to the fact that they offer an easy-to-use query interface (i.e., based on keywords) and an effective and efficient query execution mechanism. The majority of these search engines do not consider information stored on the deep or hidden Web [9,28], despite the fact that the size of the deep Web is estimated to be much bigger than the surface Web [9,47]. There have been a number of systems that record interactions with the deep Web sources or automatically submit queries them (mainly through their Web form interfaces) in order to index their context. Unfortunately, this technique is only partially indexing the data instance. Moreover, it is not possible to take advantage of the query capabilities of data sources, for example, of the relational query features, because their interface is often restricted from the Web form. Besides, Web search engines focus on retrieving documents and not on querying structured sources, so they are unable to access information based on concepts.
  15. Neubauer, G.: Visualization of typed links in linked data (2017) 0.00 
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  16. Neumaier, S.: Data integration for open data on the Web (2017) 0.00 
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  17. Weller, K.: Knowledge representation in the Social Semantic Web (2010) 0.00 
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    Abstract
    The main purpose of this book is to sum up the vital and highly topical research issue of knowledge representation on the Web and to discuss novel solutions by combining benefits of folksonomies and Web 2.0 approaches with ontologies and semantic technologies. This book contains an overview of knowledge representation approaches in past, present and future, introduction to ontologies, Web indexing and in first case the novel approaches of developing ontologies. This title combines aspects of knowledge representation for both the Semantic Web (ontologies) and the Web 2.0 (folksonomies). Currently there is no monographic book which provides a combined overview over these topics. focus on the topic of using knowledge representation methods for document indexing purposes. For this purpose, considerations from classical librarian interests in knowledge representation (thesauri, classification schemes etc.) are included, which are not part of most other books which have a stronger background in computer science.
  18. Borst, T.; Neubert, J.; Seiler, A.: Bibliotheken auf dem Weg in das Semantic Web : Bericht von der SWIB2010 in Köln - unterschiedliche Entwicklungsschwerpunkte (2011) 0.00 
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  19. Borst, T.; Fingerle, B.; Neubert, J.; Seiler, A.: Auf dem Weg in das Semantic Web : Anwendungsbeispiele und Lösungsszenarien in Bibliotheken / Eine Veranstaltung von hbz und ZBW (2010) 0.00 
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