Béatrice Markhoff - Semantic mediation ArSol and CIDOC CRM

Seman&c Media&on, ArSol and CIDOC-‐CRM

Xavier Rodier, Olivier Marlet

Laboratoire Archéologie et Territoires – CNRS/Université François-‐Rabelais -‐ Tours

Béatrice Markhoff beatrice.markhoff@univ-‐tours.fr

Laboratoire d’Informa&que – Université François-‐Rabelais -‐ Tours

ARIADNE Winter School – 12-14 december 2016 – PIN, Prato

1. Semantic Mediation

1. Semantic Mediation Data Integration

BD BD

BD

Source1

Source2

Source3

Uniform access to distributed sources

Common interface

XML

[Wikipedia]

[Wikipedia]

1.  Semantic Mediation Ontologies and the Semantic Web

1.  Semantic Mediation Ontologies and the Semantic Web

http://franz.com/agraph/support/documentation/current/agraph-introduction.html

1. Semantic Mediation A Global Semantic Schema (or Shared Conceptual Model) to access data

[…] the CIDOC CRM solves the problem of quality and delivering semantically rich data integration1 […]

1 [Oldman et al. 2014]

1. Semantic Mediation A Global Semantic Schema (or Shared Conceptual Model) to access data

[Niang et al. 2016]

1. Semantic Mediation Toward Semantic Web Applications

SOURCES

annotations images databases

CONCEPTS describing SOURCES

REFERENCE ONTOLOGIES

SPARQL queriable SOURCES

THESAURUS

MAPPING FRAMEWORKS

X3ML

1. Semantic Mediation Toward Semantic Web Applications

2. ArSol: Archives du Sol Data Storage, Management, Processing, Analysis

[Husi and Rodier CAA 2008]

2. ArSol From 1990, carefully designed, used in many applications

Stored Data

submission of evidence

Publica&on

Processing, Analysis

Verify

procédure

étape post-fouille terrain

échelle US zone site

US

FAITS MURS

SEPULTURES

STRUCTURES

ENSEMBLES

PERIODES PHASES

SEQUENCES AGREGATIONS

Regroupement Spatio-temporels

Regroupement temporels

Regroupement Spatio-fonctionnels

hSp://arsol.univ-‐tours.fr

2. ArSol

3. Semantic Interoperability for ArSol Mapping to CIDOC-CRM

[Le Goff et al. CAA 2014]

3. Semantic Inter. for ArSol Selection of basic archaeological information

- information common to all excavations:

features and artefacts

- retain only the data characterizing the

feature or object

E22.Man-Made Object à collected materials (artifacts)

E25.Man-Made Feature à features identified at the excavation site

3. ArSol / CIDOC-CRM

3. ArSol / CIDOC-CRM How to map ArSol’s fields to CIDOC-CRM Entities

3. ArSol / CIDOC-CRM CIDOC-CRM « story » of the table of features…

And for the table of artifacts

4. Mapping Implementation [Marlet et al. CAA 2015]

4. Mapping Implementation The aim:

DBMS (ArSol server)

Query application SPARQL Endpoint

OBDA Mappings

with -ontop-

Ontology CIDOC-CRM (OWL/RDF)

Local client

Remote client (VPN)

Web client (Browser)

Web server (ArSol web)

Source

Web client (Web service)

OBDA: Ontology-Based Data Access -ontop- http://ontop.inf.unibz.it/

[PrefixDeclaration] : http://www.cidoc-crm.org/cidoc-crm/

xml: http://www.w3.org/XML/1998/namespace#

rdf: http://www.w3.org/1999/02/22-rdf-syntax-ns#

rdfs: http://www.w3.org/2000/01/rdf-schema#

skos: http://www3.org/2004/02/skos/core# sci: http://www.ics.forth.gr/isl/CRMsci/

inf: http://www.ics.forth.gr/isl/CRMinf/

archaeo: http://www.ics.forth.gr/isl/CRMarchaeo/

arsol: http://arsol.univ-tours.fr/4DACTION/WFICHEWEB/

[SourceDeclaration] sourceUri jdbc4D

connectionUrl jdbc:odbc:BaseArsol

username LAT

password ******** driverClass sun.jdbc.odbc.JdbcOdbcDriver

[MappingDeclaration] @collection [[

mappingId MOB-G_usage-01 target arsol:imobi{CoSiUSObj} :P2_has_type arsol:imobi{CoSiUSObj}#usage .

source SELECT CoSiUSObj FROM af4mobilie

mappingId MOB-G_usage-02

target arsol:imobi{CoSiUSObj}#usage a :E55_Type . source SELECT CoSiUSObj FROM af4mobilie


target arsol:imobi{CoSiUSObj}#usage :P1_is_identified_by arsol:imobi{CoSiUSObj}#usageid .


mappingId MOB-G_usage-04 target arsol:imobi{CoSiUSObj}#usageid a :E41_Appellation .



target arsol:imobi{CoSiUSObj}#usageid :P3_has_note "{G_usage}"^^rdfs:Literal .

source SELECT CoSiUSObj, G_usage FROM af4mobilie ]]

-ontop- OBDA file

Querying with

Protégé’s plugin

PREFIX : <http://www.cidoc-crm.org/cidoc-crm/> SELECT ?artefact ?use WHERE { ?artefact a :E22_Man-Made_Object; :P2_has_type ?usage. ?usage a :E55_Type; :P1_is_identified_by ?usageid. ?usageid a :E41_Appellation; :P3_has_note ?use. FILTER (?use != "") }

(http://www.cidoc-crm.org/cidoc-crm/)

4. Mapping Implementation Querying from (semantic web) applications…

Future works: - Complete mappings for ArSol -  Another database to be queried in

the same way -  Guidelines for other databases -  Semantic Web applications using

those resources

Cited References [Husi and Rodier CAA 2008] P. Husi, X. Rodier. ArSol, an archeological data processing system. In CAA, pages 278-‐284, 2008 [Le Goff et al. CAA 2014] E. Le Goff, O. Marlet, X. Rodier, S. Curet, P. Husi. Interoperability of the ArSol (Archives du Sol) database based on the CIDOC-‐CRM ontology . In CAA, 2014 [Marlet et al. CAA 2014] O. Marlet, , S. Curet, X. Rodier, B. Bouchou-‐Markhoff. Using CIDOC CRM for dynamically querying ArSol, a relational database, from the semantic web. In CAA, 2015 [Niang et al. 2016] C. Niang, C. Marinica, B. Bouchou, E. Leboucher, F. Laissus, O. Malavergne, L. Bouiller, C. Darrieumerlou, C. Capderou. Suppor&ng Seman&c Interoperability in Conserva&on-‐Restora&on Domain: the PARCOURS project. To appear in JOCCH special issue on Digital Infrastructures for Cultural Heritage [Oldman et al. 2014] Oldman, D., Doerr, M., de Jong, Gerald, Norton, B., Wikman, T., (2014). Realizing Lessons of the Last 20 Years: A Manifesto for Data Provisioning & Aggrega&on Services for the Digital Humani&es (Posi&on Paper), D-‐LIB July/August 2014. (see hSp://www.dlib.org/ -‐ July/Aug 2014 edi&on) [Wache et al. 2001] H. Wache, T. V ogele, U. Visser, H. Stuckenschmidt, G. Schuster, H. Neumann, and S. H ubner. Ontology-‐Based Integra&on of Informa&on -‐ A Survey of Exis&ng Approaches. In IJCAI'01 Workshop on Ontologies and Informa&ons Sharing, pages 108-‐117,2001

Béatrice Markhoff - Semantic mediation ArSol and CIDOC CRM

Data & Analytics