Conference paper Open Access

Effect of heuristic post-processing on knowledge graph profile patterns: cross-domain study

Gollam Rabby; Farhana Keya; Vojtēc Svátek; Renzo Arturo Alva Principe


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{
  "inLanguage": {
    "alternateName": "eng", 
    "@type": "Language", 
    "name": "English"
  }, 
  "description": "<p><em>Sets of frequent schema-level patterns characterizing a given knowledge graph (KG) represent a central output of profiling tools such as ABSTAT, as they could provide a quick overview of the coverage of the KG and its adequacy for various tasks. However, the number of patterns may be huge, and the most frequent ones might not be the most useful ones for semantically characterizing the KG, since they might feature generic (OWL, SKOS, etc.) classes and even XML data types. We hypothesize that the pattern profile suitability for a &lsquo;rapid skimming&rsquo; scenario might be improved by applying a stop-list of namespaces or individual schema IRIs by which the original pattern set is pruned. We experimented with post-processing the patterns returned by ABSTAT with regard to reducing the quantity of patterns and re-ranking the patterns appearing in the first positions of the frequency-ordered results. We processed the sets of KGs from two different domains &ndash; COVID-19 and linguistics/lexicography.</em></p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "Prague University of Economics and Business, Prague, Czech Republic", 
      "@type": "Person", 
      "name": "Gollam Rabby"
    }, 
    {
      "affiliation": "Prague University of Economics and Business, Prague, Czech Republic", 
      "@type": "Person", 
      "name": "Farhana Keya"
    }, 
    {
      "affiliation": "Prague University of Economics and Business, Prague, Czech Republic", 
      "@type": "Person", 
      "name": "Vojt\u0113c Sv\u00e1tek"
    }, 
    {
      "affiliation": "University of Milano - Bicocca", 
      "@type": "Person", 
      "name": "Renzo Arturo Alva Principe"
    }
  ], 
  "headline": "Effect of heuristic post-processing on knowledge graph profile patterns: cross-domain study", 
  "image": "https://zenodo.org/static/img/logos/zenodo-gradient-round.svg", 
  "datePublished": "2022-07-13", 
  "url": "https://zenodo.org/record/6827777", 
  "keywords": [
    "Profiling \u00b7 knowledge graph \u00b7 ABSTAT \u00b7 pattern \u00b7 linguistics \u00b7 COVID-19"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.6827777", 
  "@id": "https://doi.org/10.5281/zenodo.6827777", 
  "@type": "ScholarlyArticle", 
  "name": "Effect of heuristic post-processing on knowledge graph profile patterns: cross-domain study"
}
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