Conference paper Open Access

Exploring Linked Data for the Automatic Enrichment of Historical Archives

Munnelley, Gary; Pandit, Harshvardhan J.; Lawless, Séamus


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  <identifier identifierType="DOI">10.5281/zenodo.3246426</identifier>
  <creators>
    <creator>
      <creatorName>Munnelley, Gary</creatorName>
      <givenName>Gary</givenName>
      <familyName>Munnelley</familyName>
      <affiliation>ADAPT Centre, Trinity College Dubln</affiliation>
    </creator>
    <creator>
      <creatorName>Pandit, Harshvardhan J.</creatorName>
      <givenName>Harshvardhan J.</givenName>
      <familyName>Pandit</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-5068-3714</nameIdentifier>
      <affiliation>ADAPT Centre, Trinity College Dubln</affiliation>
    </creator>
    <creator>
      <creatorName>Lawless, Séamus</creatorName>
      <givenName>Séamus</givenName>
      <familyName>Lawless</familyName>
      <affiliation>ADAPT Centre, Trinity College Dubln</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Exploring Linked Data for the Automatic Enrichment of Historical Archives</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2018</publicationYear>
  <dates>
    <date dateType="Issued">2018-05-15</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Conference paper</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3246426</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3246425</relatedIdentifier>
  </relatedIdentifiers>
  <version>preprint</version>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;With the increasing scale of online cultural heritage collections, the efforts of manually adding annotations to their contents be-come a challenging and costly endeavour. Entity Linking is a process used to automatically apply such annotations to a text based collection, where the quality and coverage of the linking process is highly dependent on the knowledge base that informs it. In this paper, we present our ongoing efforts to annotate a corpus of 17thcentury Irish witness statements using Entity Linking methods that utilise Semantic Web techniques. We discuss problems faced in this process and attempts to remedy them.&lt;/p&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>Science Foundation Ireland</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100001602</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/SFI/SFI+Research+Centres/13%2FRC%2F2106/">13/RC/2106</awardNumber>
      <awardTitle>ADAPT: Centre for Digital Content Platform Research</awardTitle>
    </fundingReference>
  </fundingReferences>
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