Linked dataresearch


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Talk at the University of Chile.

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  • Linked data is mainly composed of its Publication, i.e. making your linked data available to the public, and Consumption, for others to consume and use it.
  • Very difficult to integrate data from disparate sources
  • Linked dataresearch

    1. 1.<br /> Linked Data Research @ EnAKTing, Univ. of Southampton    <br />Tope Omitola, Univ. of Southampton<br />Seminar at Univ. of Chile, Santiago, Chile, 3rd Aug. 2011<br />1<br />
    2. 2. Items<br />What is Linked Data?<br />What is EnAKTing?<br />Our Areas of Work<br />Future Work<br />
    3. 3. Data Silos on the Current Web<br /> API<br />HTML<br />HTML<br />XML<br />
    4. 4. What is Linked Data?<br />The current Web is a Web of Documents.<br />Data, data, everywhere: We are surrounded by data: School performance, car fuel efficiency, etc.<br />Data help us to make better decisions.<br />You can discern the shape and structure of an entity by looking at the data it generates.<br />Data shapes conversations and markets.<br />
    5. 5. What is Linked Data?<br />Linked Data: Framework where data is a first class citizen on the Web.<br />Evolving the current Web into a Global Data Space.<br />TimBL: 4 principles of Linked Data:<br />Use URIs as names for things, Use HTTP URIs, When someone looks up a URI, provide useful information, using the standards (RDF, SPARQL), Include links to other URIs, so that they can discover more things.<br />
    6. 6. What is Linked Data?<br />RDF: standard mechanism for specifying the existence and meaning of connections between items.<br />RDF links things, not just documents, and they are typed.<br />
    7. 7. The Web of Linked Data<br />Link everything. No silos.<br />Thing<br />Thing<br />Thing<br />Thing<br />Thing<br />Thing<br />
    8. 8. Linked Data<br />Advantage comes from linking the RDF(s) together. <br />8<br />
    9. 9. Linked Data<br />In summary:<br />Linked Data provides: RDF.<br />A standardized data access mechanism, HTTP.<br />Hyperlink-based data discovery, using URIs.<br />Self-descriptive data, through using shared vocabularies.<br />
    10. 10. Publishing your data as Linked Data: Some Things to Consider<br />How do you choose a good URI to name things?  There are guidelines for this. Examples:  . Tope Omitola @ Univ of Southampton: . Sebastian Rios may be this:<br />Describing a Data Set using: voiD(the Vocabulary of Interlinked Datasets).<br />Choosing and Using Vocabularies to Describe Data (SKOS, RDFS, OWL).<br />Sourcing datasets: Where do you get the datasets from (e.g. Semantic Web search engines, manual search, etc).<br />Choice of join points:  When you have different datasets, where do you join them together.<br />Data normalization: using RDF make things easier.<br />Alignment of datasets.<br />
    11. 11. Alignment of datasets<br />11<br />
    12. 12. Consuming Linked Data<br />How do you visualize linked data sets.<br />Linked Data browsers, e.g. Disco, Tabulator.<br />Linked Data Search Engines, e.g., Falcons, Sindice.<br />Domain-specific Applications and Mashups, e.g. Southampton), US Global Foreign Aid Mashup.<br />
    13. 13. Government Linked Data <br />Explosion of Government Linked Data efforts and projects.<br />,,<br />Examples<br />
    14. 14.
    15. 15. Examples of Government Linked Data (csv)<br />
    16. 16. Examples of Government Linked Data (rdf)<br />
    17. 17. What is EnAKTing?<br />EPSRC-funded project.<br />Addressing 3 key research problems; (1) how to build ontologies quickly that are capable of exploiting the potential of large-scale user participation, (2) how we query an unbounded web of linked data, (3) how to visualise, explore, browse and navigate this mass of data.<br />Project Leaders: Prof. Sir Tim Berners-Lee, Prof. Dame Wendy Hall, and Prof. Nigel Shadbolt.<br />
    18. 18. Issues we are focusing on<br />Findability of appropriate data sources.<br />SEARCH: Look at the data sources.<br />EXTRACT: Slicing of data sources.<br />INTEGRATE: Unifying the views.<br />EXPLORE: Answering the questions.<br />                                                        <br />
    19. 19. Our solutions/apps<br /> is a service to discover back-links in the Web of Data for the UK Public Sector Information domain.<br /> is a service to support the discovery of geographical resources in the Web of Data querying containment relations.<br />   The Web of Data has many equivalent URIs.This service helps you to find co-references between different data sets.<br /> Scalable Reasoning in 4store; 4sr is a branch of4store where backward chained reasoning is implemented.<br />
    20. 20. Our solutions/apps<br />
    21. 21. Our solutions/apps<br />   brings together a number of public sector information catalogues, such , ,<br /> : void store :voiD documents describe the contents of data sets within the Web of Data, enabling discovery and reuse ofLinked Data resources. This service simply gathers a number of voiD documents and stores them in a repository, making it easy for clients and applications toquery these descriptions in order to identify which datasets may be of relevance for a particular need or request, or tofind endpoints which may contain a given URI.<br /> : Visualization tool for some UK data<br />
    22. 22. Our solutions/apps<br />
    23. 23. Our solutions/apps<br /> tells whether your requested URI is a thing or a document.<br />Visor: a tool for end user data exploration<br /> A Vocabulary (Ontology)  for Data and Dataset Provenance.<br /> :  Open Data Service for the University of Southampton.<br />
    24. 24. Some Future Work<br />Stream Reasoning.<br />Dynamic Data Discovery.<br />More work on the HCI, Data Consumption side.<br />