Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Spread2RML: Constructing Knowledge Graphs by Predicting RML Mappings on
  Messy Spreadsheets   The RDF Mapping Language (RML) allows to map semi-structured data to RDF
knowledge graphs. Besides CSV, JSON and XML, this also includes the mapping of
spreadsheet tables. Since spreadsheets have a complex data model and can become
rather messy, their mapping creation tends to be very time consuming. In order
to reduce such efforts, this paper presents Spread2RML which predicts RML
mappings on messy spreadsheets. This is done with an extensible set of RML
object map templates which are applied for each column based on heuristics. In
our evaluation, three datasets are used ranging from very messy synthetic data
to spreadsheets from data.gov which are less messy. We obtained first promising
results especially with regard to our approach being fully automatic and
dealing with rather messy data.

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The categories of this paper are: gr-qc
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The categories of this paper are: hep-th
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The categories of this paper are: nucl-th
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The categories of this paper are: nlin
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The categories of this paper are: hep-lat
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The categories of this paper are: quant-ph
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The categories of this paper are: comp-gas
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The categories of this paper are: dg-ga
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The categories of this paper are: alg-geom
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The categories of this paper are: hep-ex
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The categories of this paper are: hep-ph
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The categories of this paper are: eess
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The categories of this paper are: econ
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The categories of this paper are: q-bio
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The categories of this paper are: q-fin
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The categories of this paper are: q-alg