Ontologies and thesauri How to answer complex questions using interoperability?
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1 ntologies and thesauri How to answer complex questions using interoperability? tefanie Gehrke, Pauline Charbonnier, Eduard Frunzeanu, Anita Mazur (Équipe Données)
2 How to answer complex etc. questions using current (open access) web facilities?
3 Access point I: Medium Trame
4
5 Access point II: The Union Catalog of France (Catalogue Collectif de France / CCFr) BnF archives et manuscrits (BAM) Catalogue Général de la BnF
6 Title? Person? ubject? helfmark? Date?...
7 Access point III: BVH BVMM Gallica
8
9 Access point IV: MEA
10
11 Query in MEA
12 Dump not available
13 Access point V: Manuscripta Medievalia Europeana / The European Library Manuscriptorium
14 Query in Europeana I
15 Query in Europeana II Dump available at: data.europeana.eu/download/2.0/
16 Access point VI: Isidore
17
18 Access point VII: All specialised databases
19 Found in the Web Bibliotheca bibliothecarum manuscriptorum nova... du Mauriste Dom Bernard de Montfaucon, 1739 Version PDF:
20 Conclusion I: There is no single access point specialised on the written heritage from the Medieval and Renaissance Europe
21 Conclusion II: earch possibilities regarding the history of collections and texts are limited
22 Vision Biblissima How to answer complex questions using interoperability?
23 Federate databases... by establishing a common RDF framework: ntology Data in RDF Enable (complex) queries Thesaurus
24 ntology Definition I : A conceptual map of the terms and relationships that constitute a domain. For example, a library ontology would likely include "books," and would note that books often have "authors," that authors have "birth_years," and that books also often have "titles," "subtitles," and "subjects." The terms and relationships in an ontology can then be used to determine the metadata to be recorded, as well as the ways in which data can be retrieved from a dataset. Although ontologies pre-date the emantic Web, they have been brought to prominence by it. ource : Getting tarted Guide (Harvard University)
25 ntology Definition II : A formal model that allows knowledge to be represented for a specific domain. An ontology describes the types of things that exist (classes), the relationships between them (properties) and the logical ways those classes and properties can be used together (axioms). ource : Linked Data Glossary (w3c)
26 n ntology t o Class (object-)property Class l o g Data y predicate Individual Individual
27 Mapping tructured data + URIs + Links to external resources Triples
28 penrefine: Data alignment
29 Datasets in a triplestore p1 p2 p3 p1 p2 p3 p1 p1 p3 p3
30 Query via PARQL PREFIX Bbissima: < ELECT?subject WHERE {?subject p2 Bbissima:Manuscript.?subject p1 } p2 p2 p3 p1 p3 p2 p1 p1 p2 p2 p1 p1 p3 p1 p3
31 Biblissima PARQL endpoint (test)
32 RDF/XML data (simplified) <rdf:rdf xmlns:rdf=" xmlns:bbissima=" <Bbissima:Expression> <!-- subject --> <Bbissima:is_carried_by> <!-- predicate --> <Bbissima:Manuscript rdf:about=" <!-- object / subject --> <Bbissima:consists_of> <!-- predicate --> <Bbissima:Material rdf:about=" <!-- object --> </Bbissima:consists_of> </Bbissima:Manuscript> </Bbissima:is_carried_by> </Bbissima:Expression> </rdf:rdf>
33 . + sample data thesaurus <rdf:rdf xmlns:rdf=" xmlns:bbissima=" xmlns:skos=" <Bbissima:Expression> <Bbissima:is_carried_by> <Bbissima:Manuscript rdf:about=" <Bbissima:consists_of> <Bbissima:Material rdf:about=" </Bbissima:consists_of> </Bbissima:Manuscript> </Bbissima:is_carried_by> </Bbissima:Expression> <skos:concept rdf:about=" <skos:preflabel xml:lang="fr">bombycin</skos:preflabel> <skos:broader rdf:resource=" </skos:concept> </rdf:rdf>
34 Complex query All the manuscripts (in the triplestore) that carry a text in greek on paper: PREFIX skos:< PREFIX Bbissima:< ELECT?manuscript WHERE {?manuscript Bbissima:has_language < Bbissima:consists_of < UNIN {?manuscript Bbissima:consists_of?material. < skos:narrower?material.} }
35 Build on the outcomes of the Europeana Regia project ( ) (BnF, BB, BHUV, HAB, KBR) (3 historical collections)
36 Crosswalk EAD, TEI, Marc21, EE 3.4, EDM Reference Transformation Data ingestion 5 partners (BnF, BB, BHUV, HAB, KBR)
37 Data ources for 33 Europeana Display Fields
38 Medieval Manuscripts in Europe(ana) Transformation published at ourceforge:
39 Medieval Manuscripts in Europe(ana) ne XLT module contains controlled multilingual vocabulary for the Europeana display fields
40 Medieval Manuscripts in Europe(ana) Lessons learned: build reliable relations share transformation code modelisation experience
41 ntology and thesaurus Biblissima Build on CIDC-CRM and FRBRoo ntology: Publication of v0.1 May 2014
42 ntology Biblissima ee also:
43 ntology Biblissima Modelisation of the events Acquisition, Transfer of Custody and Move in CIDC CRM and Biblissima
44 ntology Biblissima Modelisation of the event Expression Creation related to a manuscript in CIDC CRM and Biblissima
45 Thesaurus Biblissima to build a thesaurus in the fields of the transmission of books and texts focus on the vocabularies needed for the scientific description of manuscripts and early prints: codicology, paleography, textual criticism etc.
46 Tools used by Biblissima 4store GINC penrefine Protégé esame XXE Virtuoso
47 Merci! ee you on Wednesday 02/04/2014 at the Workshop about RDF data Campus Condorcet, IUT, 3-7 rue de la Croix Faron, aint-denis, 14:30-18:00
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