Search (2 results, page 1 of 1)

  • × author_ss:"Becker, C."
  • × author_ss:"Bizer, C."
  1. Bizer, C.; Lehmann, J.; Kobilarov, G.; Auer, S.; Becker, C.; Cyganiak, R.; Hellmann, S.: DBpedia: a crystallization point for the Web of Data. (2009) 0.03 
    0.025416005 = product of:
  0.05083201 = sum of:
    0.05083201 = product of:
      0.10166402 = sum of:
        0.10166402 = weight(_text_:web in 1643) [ClassicSimilarity], result of:
          0.10166402 = score(doc=1643,freq=22.0), product of:
            0.17002425 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.052098576 = queryNorm
            0.59793836 = fieldWeight in 1643, product of:
              4.690416 = tf(freq=22.0), with freq of:
                22.0 = termFreq=22.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1643)
      0.5 = coord(1/2)
  0.5 = coord(1/2)
    Abstract
    The DBpedia project is a community effort to extract structured information from Wikipedia and to make this information accessible on the Web. The resulting DBpedia knowledge base currently describes over 2.6 million entities. For each of these entities, DBpedia defines a globally unique identifier that can be dereferenced over the Web into a rich RDF description of the entity, including human-readable definitions in 30 languages, relationships to other resources, classifications in four concept hierarchies, various facts as well as data-level links to other Web data sources describing the entity. Over the last year, an increasing number of data publishers have begun to set data-level links to DBpedia resources, making DBpedia a central interlinking hub for the emerging Web of data. Currently, the Web of interlinked data sources around DBpedia provides approximately 4.7 billion pieces of information and covers domains suc as geographic information, people, companies, films, music, genes, drugs, books, and scientific publications. This article describes the extraction of the DBpedia knowledge base, the current status of interlinking DBpedia with other data sources on the Web, and gives an overview of applications that facilitate the Web of Data around DBpedia.
    Source
    Journal of Web semantics: science, services and agents on the World Wide Web, no.7, S.154-165
    Theme
    Semantic Web
  2. Becker, C.; Bizer, C.: DBpedia Mobile : a location-aware Semantic Web client 0.02 
    0.02167484 = product of:
  0.04334968 = sum of:
    0.04334968 = product of:
      0.08669936 = sum of:
        0.08669936 = weight(_text_:web in 2478) [ClassicSimilarity], result of:
          0.08669936 = score(doc=2478,freq=16.0), product of:
            0.17002425 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.052098576 = queryNorm
            0.5099235 = fieldWeight in 2478, product of:
              4.0 = tf(freq=16.0), with freq of:
                16.0 = termFreq=16.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2478)
      0.5 = coord(1/2)
  0.5 = coord(1/2)
    Abstract
    DBpedia Mobile is a location-aware client for the Semantic Web that can be used on an iPhone and other mobile devices. Based on the current GPS position of a mobile device, DBpedia Mobile renders a map indicating nearby locations from the DBpedia dataset. Starting from this map, the user can explore background information about his surroundings by navigating along data links into otherWeb data sources. DBpedia Mobile has been designed for the use case of a tourist exploring a city. As the application is not restricted to a fixed set of data sources but can retrieve and display data from arbitrary Web data sources, DBpedia Mobile can also be employed within other use cases, including ones unforeseen by its developers. Besides accessing Web data, DBpedia Mobile also enables users to publish their current location, pictures and reviews to the Semantic Web so that they can be used by other Semantic Web applications. Instead of simply being tagged with geographical coordinates, published content is interlinked with a nearby DBpedia resource and thus contributes to the overall richness of the Geospatial Semantic Web.
    Content
    Beitrag anlässlich: Semantic Web Challenge at ISWC 2008, Karlsruhe, Germany, October 2008.

Authors

Types