Projects
LOD Lifecycle Model (version 2.1)
Requirements Analysis
To verify the purposes of data conversion to LOD and the requirements for future applications
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Data Licensing
To ensure and acquire the license permission for data re-consumption
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Data Architecture Evaluation
Analyze data structure, content of currently reusable ontology and authority files to form the basis for data modeling
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Data Modeling
To design the ontology/ semantic data model
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Data Cleaning
To structure the original data and correct data errors to optimize quality
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Data Reconciliation
To design or assign the reusable URIs to each data resource; to reuse and link to the external resources (such as AAT, VIAF, DBpedia, GeoNames, etc.); to establish the semantic relations between the resources
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Data Enrichment
To create the linkages between heterogeneous resources through the technology of the Named Entity Recognition
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Data Conversion
To convert, release the data in RDF file format (such as N-Triples, Turtle) and upload into the triple store
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Data Querying in SPARQL
To establish the SPARQL endpoint and offer semantic query functionality, with examples
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Data Publishing
To publish the LOD-based datasets in the worldwide open data platform for data sharing and distribution (eg. datahub.io) and in the local-established LOD datasets interface(eg. ASCDC LOD datasets)
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Application Systems
To develop the application system for providing the LOD-based service system (such as a website); to revise the data content through the function of crowdsourcing embedded in the application system
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Data Maintenance
To constantly maintain the validity, accessibility and usable status of the published LOD datasets