August 25, 2022 Conference paper Open Access

Chiara Pugliese; Francesco Lettich; Chiara Renso; Fabio Pinelli

MARC21 XML Export

<?xml version='1.0' encoding='UTF-8'?>
<record xmlns="http://www.loc.gov/MARC21/slim">
  <leader>00000nam##2200000uu#4500</leader>
  <controlfield tag="005">20230317080649.0</controlfield>
  <controlfield tag="001">7186098</controlfield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">ISTI-CNR</subfield>
    <subfield code="0">(orcid)0000-0001-6914-2961</subfield>
    <subfield code="a">Francesco Lettich</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">ISTI-CNR</subfield>
    <subfield code="0">(orcid)0000-0002-1763-2966</subfield>
    <subfield code="a">Chiara Renso</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">IMT Lucca</subfield>
    <subfield code="0">(orcid)0000-0003-1058-6917</subfield>
    <subfield code="a">Fabio Pinelli</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">784990</subfield>
    <subfield code="z">md5:29a7297a3570eb5e3b819542024f928a</subfield>
    <subfield code="u">https://zenodo.org/record/7186098/files/MAT-Builder_a_System_to_Build_Semantically_Enriched_Trajectories.pdf</subfield>
  </datafield>
  <datafield tag="542" ind1=" " ind2=" ">
    <subfield code="l">open</subfield>
  </datafield>
  <datafield tag="260" ind1=" " ind2=" ">
    <subfield code="c">2022-08-25</subfield>
  </datafield>
  <datafield tag="909" ind1="C" ind2="O">
    <subfield code="p">openaire</subfield>
    <subfield code="p">user-master-h2020-msca-rise-project</subfield>
    <subfield code="p">user-mobidatalab</subfield>
    <subfield code="o">oai:zenodo.org:7186098</subfield>
  </datafield>
  <datafield tag="100" ind1=" " ind2=" ">
    <subfield code="u">ISTI-CNR</subfield>
    <subfield code="0">(orcid)0000-0001-7908-0418</subfield>
    <subfield code="a">Chiara Pugliese</subfield>
  </datafield>
  <datafield tag="245" ind1=" " ind2=" ">
    <subfield code="a">MAT-Builder: a System to Build Semantically Enriched Trajectories</subfield>
  </datafield>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">user-master-h2020-msca-rise-project</subfield>
  </datafield>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">user-mobidatalab</subfield>
  </datafield>
  <datafield tag="536" ind1=" " ind2=" ">
    <subfield code="c">777695</subfield>
    <subfield code="a">Multiple ASpects TrajEctoRy management and analysis</subfield>
  </datafield>
  <datafield tag="536" ind1=" " ind2=" ">
    <subfield code="c">101006879</subfield>
    <subfield code="a">Labs for prototyping future Mobility Data sharing cloud solutions</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;The notion of multiple aspect trajectory (MAT) has been recently introduced in the literature to represent movement data that is heavily semantically enriched with dimensions (aspects) representing various types of semantic information (e.g., stops, moves, weather, traffic, events, and points of interest). Aspects may be large in number, heterogeneous, or structurally complex. Although there is a growing volume of literature addressing the modelling and analysis of multiple aspect tra-jectories, the community suffers from a general lack of publicly available datasets. This is due to privacy concerns that make it difficult to publish such type of data, and to the lack of tools that are capable of linking raw spatio-temporal data to different types of semantic contextual data. In this work we aim to address this last issue by presenting MAT-BUILDER, a system that not only supports users during the whole semantic enrichment process, but also allows the use of a variety of external data sources. Furthermore, MAT-BUILDER has been designed with modularity and extensibility in mind, thus enabling practitioners to easily add new functionalities to the system and set up their own semantic enrichment process. The demonstration scenario, which will be showcased during the demo session, highlights how MAT-BUILDER&amp;#39;s main features allow users to easily generate multiple aspect trajectories, hence benefiting the mobility data analysis community.&lt;/p&gt;</subfield>
  </datafield>
  <datafield tag="024" ind1=" " ind2=" ">
    <subfield code="a">10.1109/MDM55031.2022.00058</subfield>
    <subfield code="2">doi</subfield>
  </datafield>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">publication</subfield>
    <subfield code="b">conferencepaper</subfield>
  </datafield>
</record>