<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="/oai2.xsl"?>
<OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd">
  <responseDate>2026-09-21T11:25:00Z</responseDate>
  <request verb="GetRecord" identifier="oai:salford-repository.worktribe.com:1369183" metadataPrefix="uketd_dc">salford-repository.worktribe.com</request>
  <GetRecord>
    <record>
      <header>
        <identifier>oai:salford-repository.worktribe.com:1369183</identifier>
        <datestamp>2026-06-07T07:07:52Z</datestamp>
        <setSpec>084104101115105115</setSpec>
        <setSpec>openaccess</setSpec>
      </header>
      <metadata>
        <uketd_dc:uketddc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:uketd_dc="http://naca.central.cranfield.ac.uk/ethos-oai/2.0/" xmlns:uketdterms="http://naca.central.cranfield.ac.uk/ethos-oai/terms/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:type>Thesis</dc:type>
          <dc:title>Semantics-enriched workflow creation and management system with an application to document image analysis and recognition</dc:title>
          <dcterms:abstract>Scientific workflow systems are an established means to model and execute experiments or processing pipelines. Nevertheless, designing workflows can be a daunting task for users due to the complexities of the systems and the sheer number of available processing nodes, each having different compatibility/applicability characteristics. This Thesis explores how concepts of the Semantic Web can be used to augment workflow systems in order to assist researchers as well as non-expert users in creating valid and effective workflows. A prototype workflow creation/management system has been developed, including components for ontology modelling, workflow composition, and workflow repositories. Semantics are incorporated as a lightweight layer, permeating all aspects of the system and workflows, including retrieval, composition, and validation. Document image analysis and recognition is used as a representative application domain to evaluate the validity of the system. A new semantic model is proposed, covering a wide range of aspects of the target domain and adjacent fields. Real-world use cases demonstrate the assistive features and the automated workflow creation. On that basis, the prototype workflow creation/management system is compared to other state-of-the-art workflow systems and it is shown how those could benefit from the semantic model. The Thesis concludes with a discussion on how a complete infrastructure based on semantics-enriched datasets, workflow systems, and sharing platforms could represent the next step in automation within document image analysis and other domains.</dcterms:abstract>
          <dc:creator id="https://orcid.org/0000-0001-6041-1002">Clausner, C</dc:creator>
          <uketdterms:authoridentifier>0000-0001-6041-1002</uketdterms:authoridentifier>
          <uketdterms:qualificationlevel>Doctoral (Level 8)</uketdterms:qualificationlevel>
          <dcterms:dateAccepted>2026-09-21</dcterms:dateAccepted>
          <dc:identifier>oai:salford-repository.worktribe.com:1369183</dc:identifier>
          <dc:identifier xsi:type="dcterms:URI">https://salford-repository.worktribe.com/1369183/1/PhD%20Thesis%20Christian%20Clausner%20-%20Master%20file.pdf</dc:identifier>
          <uketdterms:sponsor>University of Salford</uketdterms:sponsor>
          <dcterms:isReferencedBy>https://salford-repository.worktribe.com/output/1369183</dcterms:isReferencedBy>
          <dcterms:issued>2026</dcterms:issued>
          <dc:language>en</dc:language>
          <dc:licence>openAccess</dc:licence>
          <dcterms:accessRights>Public</dcterms:accessRights>
        </uketd_dc:uketddc>
      </metadata>
    </record>
  </GetRecord>
</OAI-PMH>
