Conference paper Open Access

Semantic Web Technologies in Fighting Crime and Terrorism: The CONNEXIONs Approach

Alexandros Koufakis; Despoina Chatzakou; Georgios Meditskos; Theodora Tsikrika; Stefanos Vrochidis; Ioannis Kompatsiaris


MARC21 XML Export

<?xml version='1.0' encoding='UTF-8'?>
<record xmlns="http://www.loc.gov/MARC21/slim">
  <leader>00000nam##2200000uu#4500</leader>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">Semantic structures</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">Ontologies</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">Semantic Integration</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">Semantic Enrichment</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">Semantic Reasoning</subfield>
  </datafield>
  <controlfield tag="005">20210210090253.0</controlfield>
  <controlfield tag="001">3865864</controlfield>
  <datafield tag="711" ind1=" " ind2=" ">
    <subfield code="d">2 June, 2020</subfield>
    <subfield code="g">IoT4SAFE</subfield>
    <subfield code="a">IoT infrastructures for safety in pervasive environments</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Information Technologies Institute, Centre for Research and Technology Hellas</subfield>
    <subfield code="a">Despoina Chatzakou</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Information Technologies Institute, Centre for Research and Technology Hellas</subfield>
    <subfield code="a">Georgios Meditskos</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Information Technologies Institute, Centre for Research and Technology Hellas</subfield>
    <subfield code="a">Theodora Tsikrika</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Information Technologies Institute, Centre for Research and Technology Hellas</subfield>
    <subfield code="a">Stefanos Vrochidis</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Information Technologies Institute, Centre for Research and Technology Hellas</subfield>
    <subfield code="a">Ioannis Kompatsiaris</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">288649</subfield>
    <subfield code="z">md5:b56878063f5f73e52af616b8985808f4</subfield>
    <subfield code="u">https://zenodo.org/record/3865864/files/Semantic_Web_Technologies_in_Fighting_Crime_and_Terrorism_IoT4SAFE20.pdf</subfield>
  </datafield>
  <datafield tag="542" ind1=" " ind2=" ">
    <subfield code="l">open</subfield>
  </datafield>
  <datafield tag="260" ind1=" " ind2=" ">
    <subfield code="c">2020-05-30</subfield>
  </datafield>
  <datafield tag="909" ind1="C" ind2="O">
    <subfield code="p">openaire</subfield>
    <subfield code="p">user-connexions-h2020</subfield>
    <subfield code="o">oai:zenodo.org:3865864</subfield>
  </datafield>
  <datafield tag="100" ind1=" " ind2=" ">
    <subfield code="u">Information Technologies Institute, Centre for Research and Technology Hellas</subfield>
    <subfield code="a">Alexandros Koufakis</subfield>
  </datafield>
  <datafield tag="245" ind1=" " ind2=" ">
    <subfield code="a">Semantic Web Technologies in Fighting Crime and Terrorism: The CONNEXIONs Approach</subfield>
  </datafield>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">user-connexions-h2020</subfield>
  </datafield>
  <datafield tag="536" ind1=" " ind2=" ">
    <subfield code="c">786731</subfield>
    <subfield code="a">InterCONnected NEXt-Generation Immersive IoT Platform of Crime and Terrorism DetectiON, PredictiON, InvestigatiON, and PreventiON Services</subfield>
  </datafield>
  <datafield tag="540" ind1=" " ind2=" ">
    <subfield code="u">https://creativecommons.org/licenses/by/4.0/legalcode</subfield>
    <subfield code="a">Creative Commons Attribution 4.0 International</subfield>
  </datafield>
  <datafield tag="650" ind1="1" ind2="7">
    <subfield code="a">cc-by</subfield>
    <subfield code="2">opendefinition.org</subfield>
  </datafield>
  <datafield tag="520" ind1=" " ind2=" ">
    <subfield code="a">&lt;p&gt;Ontologies play a key role in the Semantic Web, providing the machine-interpretable semantic vocabulary and serving as the knowledge representation and exchange vehicle. On top of ontologies, various functionalities can be supported, such as semantic integration, enrichment and reasoning to either further enhance or enrich them with additional information, or to deduct implicit knowledge out of the already annotated information. This paper presents a holistic semantic model employed within the CONNEXIONs EU-funded project that is aimed at semantically representing and reasoning about all pertinent notions derived from the analysis of high volumes of heterogeneous data with the goal to ultimately improve the capabilities of Law Enforcement Agencies in their fight against crime and terrorism. The proposed model enables the compound of various important aspects that resolve around several sources of information considered important in this context, including online sources that are often adversely exploited, as well information produced by Internet of Thing devices, such as sensors and cameras.&lt;/p&gt;</subfield>
  </datafield>
  <datafield tag="773" ind1=" " ind2=" ">
    <subfield code="n">doi</subfield>
    <subfield code="i">isVersionOf</subfield>
    <subfield code="a">10.5281/zenodo.3865863</subfield>
  </datafield>
  <datafield tag="024" ind1=" " ind2=" ">
    <subfield code="a">10.5281/zenodo.3865864</subfield>
    <subfield code="2">doi</subfield>
  </datafield>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">publication</subfield>
    <subfield code="b">conferencepaper</subfield>
  </datafield>
</record>
132
63
views
downloads
All versions This version
Views 132132
Downloads 6363
Data volume 18.2 MB18.2 MB
Unique views 117117
Unique downloads 6060

Share

Cite as