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Developments of the Semantic Web at the Museum of the History of Science

Developments of the Semantic Web at the Museum of the History of Science. Florence, 16 June 2003 Marco Berni. Main question:. How can we go ahead on Semantic Web and ontologies at IMSS?. Try to answer:. Evaluation of the achieved outcome How we can make an ontology Mesmuses experience

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Developments of the Semantic Web at the Museum of the History of Science

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  1. Developments of the Semantic Web at the Museum of the History of Science Florence, 16 June 2003 Marco Berni

  2. Main question: • How can we go ahead on Semantic Web and ontologies at IMSS? Semantic web at IMSS

  3. Try to answer: • Evaluation of the achieved outcome • How we can make an ontology • Mesmuses experience • Beyond Mesmuses • Resources to make the ontology run • Critical points • Hypothesis on achievable results Semantic web at IMSS

  4. Evaluation of the achieved outcome • Mesmuses prototypes are very useful samples of Semantic Web application • Allows data browsing with “intelligent” search • Opportunity to make searches not only on words, but on the meaning of words too (semantic search) • Test semantic search on a history of science domain Semantic web at IMSS

  5. How we can make an ontologyMesmuses experience 1 • First try • Theoretical approach • Ontology was designed in order to model domain of historic science knowledge • No data were available. Need for a totally manual data input • Schema and instances were very subjective • Useful for itineraries, not for search Semantic web at IMSS

  6. How we can make an ontologyMesmuses experience 2 • Second try • Bottom-up approach • Ontology was designed just looking to available databases • Deep analysis of databases structure in order to map relational structure on ontology concept/property • Data input from relational databases with little manual attendance • Schema and instances are quite “objective”, but at the moment don’t cover all the history of science domain • Useful for search Semantic web at IMSS

  7. IMSS Ontology Extended Dublin Core How we can make an ontologyBeyond Mesmuses 1 IMSS Database ARAM – Multimedia Archive STS – Scientific Instruments ICONA – Ichonographic Archive IMSS Itineraries BIBLIO – Catalogue of the Library ARMU – Historical archives GT@ – GalileoTek@ etc. Semantic web at IMSS

  8. IMSS Ontology Extended Dublin Core How we can make an ontologyBeyond Mesmuses 2 IMSS Database ARAM – Multimedia Archive STS – Scientific Instruments DCTitleDCCreator Creator InventorDCSubjectDCDescriptionDCPublisherDcContributor.PersonalNameDcContributor.CorporatelName User Receiver Giver Purchaser IsDedicated..... DCrelation IsVersionOf HasVersion IsReplacedBy IsRequiredBy Requires IsPartOf HasPart IsReferencedBy References IsFormatOf HasFormat..... ICONA – Ichonographic Archive BIBLIO – Books Catalogue ARMU – Historical archives GT@ – GalileoTek@ etc. Semantic web at IMSS

  9. How we can make an ontologyBeyond Mesmuses 3 Scientific Places in Tuscany Old version • Plain hypertext • Links have not any semantics Semantic web at IMSS

  10. How we can make an ontologyBeyond Mesmuses 4 Scientific Places in Tuscany Forthcoming version • Structured hypertext • Links have a semantics • e.g. Brunelleschi MAKER Dome Dome Brun. Maker Semantic web at IMSS

  11. History of science community shared ontology IMSS ontology Institution 2 ontology Institution 3 ontology Institution 4 ontology Institution n ontology Web resource Web resource Web resource Web resource Web resource Web resource Web resource Web resource How we can make an ontologyBeyond Mesmuses 5 Semantic web at IMSS

  12. How we can make an ontologyBeyond Mesmuses 6 • Start to re-design database for ontology and semantic search • Mapping of existing database schemas into classes and properties • Extended Dublin Core • IMSS specifics • Partial automatic indexing of data according to the mapping rules • Manual actions required to complete indexing process • Design an ontology valid for the whole history of science community Semantic web at IMSS

  13. Resources to make the ontology run • Domain experts to map database to ontology • Software for data harvesting • Operators to manually adjust data • Portal • Schema / data loader • Browsing / searching engine • Graphical user interface • Set up a community-web and coordinate it • Produce (and agree on) a shared ontology • Share resources Semantic web at IMSS

  14. Critical points • Ontology production • Integration between ontology and itineraries • Iterative construction of new ontology to make a better coverage of domain and data • User interface usability • Test of existing interfaces • Requirements to improve interaction effectiveness • Iterates many times this step • Agreement on a community web ontology for history of science • Impact of a schema modification on existing data • Have mapping of data to be redone? Semantic web at IMSS

  15. Hypothesis on achievable results • Strongly improve access to IMSS documents and database • Provide a framework for history of science e-learning • Share navigable data with the community • Create an access point to the history of science resources on the web • Create a virtual museum of history of science on the web independently from the physical location of the objects Semantic web at IMSS

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