Search (4 results, page 1 of 1)

  • × language_ss:"e"
  • × theme_ss:"Semantic Web"
  • × theme_ss:"Semantische Interoperabilität"
  • × type_ss:"a"
  1. Stamou, G.; Chortaras, A.: Ontological query answering over semantic data (2017) 0.02 
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    Imprint
    Cham : Springer International Publishing
  2. Neumaier, S.: Data integration for open data on the Web (2017) 0.02 
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    Abstract
    In this lecture we will discuss and introduce challenges of integrating openly available Web data and how to solve them. Firstly, while we will address this topic from the viewpoint of Semantic Web research, not all data is readily available as RDF or Linked Data, so we will give an introduction to different data formats prevalent on the Web, namely, standard formats for publishing and exchanging tabular, tree-shaped, and graph data. Secondly, not all Open Data is really completely open, so we will discuss and address issues around licences, terms of usage associated with Open Data, as well as documentation of data provenance. Thirdly, we will discuss issues connected with (meta-)data quality issues associated with Open Data on the Web and how Semantic Web techniques and vocabularies can be used to describe and remedy them. Fourth, we will address issues about searchability and integration of Open Data and discuss in how far semantic search can help to overcome these. We close with briefly summarizing further issues not covered explicitly herein, such as multi-linguality, temporal aspects (archiving, evolution, temporal querying), as well as how/whether OWL and RDFS reasoning on top of integrated open data could be help.
    Imprint
    Cham : Springer International Publishing
  3. Carbonaro, A.; Santandrea, L.: ¬A general Semantic Web approach for data analysis on graduates statistics 0.01 
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    Abstract
    Currently, several datasets released in a Linked Open Data format are available at a national and international level, but the lack of shared strategies concerning the definition of concepts related to the statistical publishing community makes difficult a comparison among given facts starting from different data sources. In order to guarantee a shared representation framework for what concerns the dissemination of statistical concepts about graduates, we developed SW4AL, an ontology-based system for graduate's surveys domain. The developed system transforms low-level data into an enriched information model and is based on the AlmaLaurea surveys covering more than 90% of Italian graduates. SW4AL: i) semantically describes the different peculiarities of the graduates; ii) promotes the structured definition of the AlmaLaurea data and the following publication in the Linked Open Data context; iii) provides their reuse in the open data scope; iv) enables logical reasoning about knowledge representation. SW4AL establishes a common semantic for addressing the concept of graduate's surveys domain by proposing the creation of a SPARQL endpoint and a Web based interface for the query and the visualization of the structured data.
  4. Heflin, J.; Hendler, J.: Semantic interoperability on the Web (2000) 0.01 
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    Date
    11. 5.2013 19:22:18

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