Matches in Ruben’s data for { <https://dx.doi.org/10.1007/978-3-319-25639-9_13> ?p ?o }
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- 978-3-319-25639-9_13 author me.
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- 978-3-319-25639-9_13 about DBpedia.
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- 978-3-319-25639-9_13 P50 me.
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- 978-3-319-25639-9_13 maker erik_mannens.
- 978-3-319-25639-9_13 maker me.
- 978-3-319-25639-9_13 title "Merging and Enriching DCAT Feeds to Improve Discoverability of Datasets".
- 978-3-319-25639-9_13 isPartOf proceedings_of_the_12th_extended_semantic_web_conference_posters_and_demos.
- 978-3-319-25639-9_13 name "Merging and Enriching DCAT Feeds to Improve Discoverability of Datasets".
- 978-3-319-25639-9_13 label "Merging and Enriching DCAT Feeds to Improve Discoverability of Datasets".
- 978-3-319-25639-9_13 name "Merging and Enriching DCAT Feeds to Improve Discoverability of Datasets".
- 978-3-319-25639-9_13 topic DBpedia.
- 978-3-319-25639-9_13 topic Triple_Pattern_Fragments.
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- 978-3-319-25639-9_13 subject DBpedia.
- 978-3-319-25639-9_13 subject Triple_Pattern_Fragments.
- 978-3-319-25639-9_13 subject SPARQL.
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- 978-3-319-25639-9_13 authorList b0_b2860.
- 978-3-319-25639-9_13 topic DBpedia.
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- 978-3-319-25639-9_13 topic SPARQL.
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- 978-3-319-25639-9_13 abstract "Data Catalog Vocabulary (DCAT) is a W3C specification to describe datasets published on the Web. However, these catalogs are not easily discoverable based on a user’s needs. In this paper, we introduce the Node.js module "dcat-merger" which allows a user agent to download and semantically merge different DCAT feeds from the Web into one DCAT feed, which can be republished. Merging the input feeds is followed by enriching them. Besides determining the subjects of the datasets, using DBpedia Spotlight, two extensions were built: one categorizes the datasets according to a taxonomy, and the other adds spatial properties to the datasets. These extensions require the use of information available in DBpedia’s SPARQL endpoint. However, public SPARQL endpoints often suffer from low availability, so a Triple Pattern Fragments alternative is used. However, the need for DCAT Merger sparks the discussion for more high level functionality to improve a catalog’s discoverability.".
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