Conference paper Open Access

LiLa: Linking Latin – A Knowledge Base of Linguistic Resources and NLP Tools for Latin

Marco Carlo Passarotti; Flavio Massimiliano Cecchini; Greta Franzini; Eleonora Litta; Francesco Mambrini; Paolo Ruffolo


DataCite XML Export

<?xml version='1.0' encoding='utf-8'?>
<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd">
  <identifier identifierType="DOI">10.5281/zenodo.3358550</identifier>
  <creators>
    <creator>
      <creatorName>Marco Carlo Passarotti</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-9806-7187</nameIdentifier>
      <affiliation>Università Cattolica del Sacro Cuore</affiliation>
    </creator>
    <creator>
      <creatorName>Flavio Massimiliano Cecchini</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-9029-1822</nameIdentifier>
      <affiliation>Università Cattolica del Sacro Cuore</affiliation>
    </creator>
    <creator>
      <creatorName>Greta Franzini</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-1159-5575</nameIdentifier>
      <affiliation>Università Cattolica del Sacro Cuore</affiliation>
    </creator>
    <creator>
      <creatorName>Eleonora Litta</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-0499-997X</nameIdentifier>
      <affiliation>Università Cattolica del Sacro Cuore</affiliation>
    </creator>
    <creator>
      <creatorName>Francesco Mambrini</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-0834-7562</nameIdentifier>
      <affiliation>Università Cattolica del Sacro Cuore</affiliation>
    </creator>
    <creator>
      <creatorName>Paolo Ruffolo</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-9120-0846</nameIdentifier>
      <affiliation>Università Cattolica del Sacro Cuore</affiliation>
    </creator>
  </creators>
  <titles>
    <title>LiLa: Linking Latin – A Knowledge Base of Linguistic Resources and NLP Tools for Latin</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2019</publicationYear>
  <subjects>
    <subject>latin</subject>
    <subject>linguistics</subject>
    <subject>digital humanities</subject>
    <subject>digital classics</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2019-08-02</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Text">Conference paper</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3358550</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsDerivedFrom" resourceTypeGeneral="Text">http://ceur-ws.org/Vol-2402/</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3358549</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/digiclass</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;The&amp;nbsp;&lt;strong&gt;&lt;em&gt;LiLa: Linking Latin&lt;/em&gt;&lt;/strong&gt;&amp;nbsp;project was recently awarded funding from the European Research Council to build a Knowledge Base of linguistic resources for Latin. LiLa responds to the growing need in the fields of Computational Linguistics, Humanities Computing and Classics to create an interoperable ecosystem of resources and Natural Language Processing tools for Latin. To this end, LiLa makes use of Linked Open Data practices and standards to connect words to distributed textual and lexical resources via unique identifiers. In so doing, it builds rich knowledge graphs, which can be used for research and teaching purposes alike. This paper details the architecture of the LiLa Knowledge Base and presents the solutions found to address the challenges raised by populating it with a first set of linguistic resources.&lt;/p&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/769994/">769994</awardNumber>
      <awardTitle>Linking Latin. Building a Knowledge Base of Linguistic Resources for Latin</awardTitle>
    </fundingReference>
  </fundingReferences>
</resource>
143
54
views
downloads
All versions This version
Views 143144
Downloads 5454
Data volume 35.4 MB35.4 MB
Unique views 128129
Unique downloads 5151

Share

Cite as