The Semantic Web is made of structured sources of information, such as DBpedia or GeoNames, also known as Linked Data(LD). They can be linked and queried together. The information they contain is atomized into triples , each triple being a simple statement composed of a subject, a predicate and an object. Triples can be combined to form higher level statements  following information needs. But  reconstituting chains of triples has a  cognitive cost, and this makes it difficult for data producers to have meaningful overviews of the content of their own datasets. We report a characterisation of LD producers' needs, and introduce the concept of path-based summaries, which carries a higher level of semantics, to meet their needs . We present the tool Path Outlinesto support LD producers in browsing path-based summaries of their datasets. We describe its interface based on the broken (out)lines layout algorithm and the path browser visualisation . We compare Path Outlines with the current baseline technique (Virtuoso SPARQL query editor) in an experiment with 36 participants. We show that Path Outlines is faster, leads to better task completion and less errors, and that participants prefer it, find it easier and more comfortable to use .
Knowledge Graphs have become a ubiquitous technology powering search engines, recommender systems, connected objects, corporate knowledge management and Open Data. They rely on small units of information named triples that can be combined to form higher level statements across datasets following information needs. But data producers face a problem: reconstituting chains of triples has a high cognitive cost, which hinders them from gaining meaningful overviews of their own datasets. We introduce path outlines: conceptual objects characterizing sequences of triples with descriptive statistics. We interview 11 data producers to evaluate their interest . We present Path Outlines, a tool to browse path-based summaries , based on coordinated views with 2 novel visualisations . We compare Path Outlines with the current baseline technique in an experiment with 36 participants. We show that it is 3 times faster, leads to better task completion , less errors, that participants prefer it, and find tasks easier with it .
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The Semantic Web is made of structured sources of information, such as DBpedia or GeoNames, also known as Linked Data(LD). They can be linked and queried together. The information they contain is atomized into triples , each triple being a simple statement composed of a subject, a predicate and an object. Triples
Knowledge Graphs have become a ubiquitous technology powering search engines, recommender systems, connected objects, corporate knowledge management and Open Data. They rely on small units of information named triples that
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across datasets
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data producers face a problem:
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high
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and this makes it difficult for data producers to have
which hinders them from gaining
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the content of
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report a characterisation of LD producers' needs, and introduce the concept of path-based summaries, which carries a higher level of semantics, to meet their needs
introduce path outlines: conceptual objects characterizing sequences of triples with descriptive statistics. We interview 11 data producers to evaluate their interest
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the tool Path Outlinesto support LD producers in browsing
Path Outlines, a tool to browse
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of their datasets. We describe its interface based on the broken (out)lines layout algorithm and the path browser visualisation
, based on coordinated views with 2 novel visualisations
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(Virtuoso SPARQL query editor)
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Path Outlines is
it is 3 times
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and
,
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and
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find it easier and more comfortable to use
and find tasks easier with it