lustre a linked thesaurus framework for environment
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LusTRE: a Linked Thesaurus fRamework for Environment Riccardo Albertoni 1 , Monica De Martino 1 , Paola Podest 1 , Paolo Plini 2 1 CNR-IMATI, Via De Marini, 6, Torre di Francia, 16149 Genova, Italia {name.surname}@ge.imati.cnr.it 2


  1. LusTRE: a Linked Thesaurus fRamework for Environment Riccardo Albertoni 1 , Monica De Martino 1 , Paola Podestà 1 , Paolo Plini 2 1 CNR-IMATI, Via De Marini, 6, Torre di Francia, 16149 Genova, Italia {name.surname}@ge.imati.cnr.it 2 CNR-IIA-EKOLab - Via Salaria Km 29,300 C.P. 10,I-00016 Monterotondo stazione RM, Italia, plini@iia.cnr.it W3C-IT LOD 2014, Rome, Italy, 20-21 Feb 2014

  2. INSPIRE vs thesauri INSPIRE implementation rules • recommend the adoption of (multilingual) thesauri when compiling metadata for data/services However Different thesauri have been developed, and may be deployed for cataloguing the geographical, e.g., DMEER/Treats Biodiversity By Biogeographical Regions Id4 Id3 Id1 ??? Id1 Id5 Id6 GEMET Id1 Published by EEA According to Linked Data skos:broder skos:broder ???? Id1 skos:broder Best Practice Skos:ExactMatch ???? skos:broder skos:broder Id1 Id2 Id2 Id3 skos:broder Skos:RelatedMatch Skos:ExactMatch Id3 Id4 Id3 IUCN Classification Id6 skos:broder Skos:ExactMatch Id2 skos:related Id6 Id6 AGROVOC EARTh GEMET THiST … Thesauri are heterogeneous wrt thematic coverage, multilinguality, granularities, popularity in certain communities Heterogeneity is precious!!!

  3. LusTRE: Enabling Thesauri Joint Exploitation Design Principle (NatureSDIPlus 2009-2011) Modularity To add new KOS as a new module Openness plugged in the set of thesauri in the To easily extend each KOS Simple Knowledge Organization System Interlinking TF (SKOS) to encode the thesaurus content keeping separated the original one Linking among the terms referring Exploitability to the same concepts in more then Linked Data best practices To encode in a standard and flexible format to publish the thesaurus in machine one thesaurus in order to harmonize in order to encourage the adoption and its understandable format their usage. enrichment from third party system De Martino M. and Albertoni R., A multilingual/multicultural semantic-based approach to improve Data Sharing in a SDI for Nature Conservation, IJSDIR, vol.6, ISSN 1725-0463, pp. 206-233, 2011 Common Thesaurus TF Extension (eENVplus 2013-2015) Framework (TF) Ø Publication of further thesauri not yet exposed as Linked data Ø Interlinking with well-known LOD environmental related thesauri Ø Services to access LusTRE and cross- walking from a thesaurus to another 3

  4. What is available as result of NatureSDIPlus? Thesaurus Framework for Nature Conservation INSPIRE Themes: Habitat and biotopes, Species distribution, Biogeographical regions, Protect sites GEMET Published by EEA According to Linked Data Id1 Best Practice Skos:ExactMatch skos:broder Id3 skos:broder EARTH Id1 Skos:ExactMatch skos:broder skos:broder Id4 DMEER/Treats Skos:ExactMatch Id3 Biodiversity By skos:broder Id2 Id2 Biogeographical Regions skos:broder Skos:RelatedMatch Id4 Id4 Id1 Id1 skos:related ??? Id5 Id5 Id6 Id6 Id1 Id1 skos:broder skos:broder ???? skos:broder ???? skos:broder Id1 Id2 Id2 Id1 Id1 Eunis Habitat Types - skos:broder Id3 Id3 Id3 skos:broder skos:broder skos:broder NATURE 2000 A I skos:broder skos:related Id2 Id2 Id3 Id2 Id6 Id6 Id3 IUCN Classification skos:related Eunis Species Skos:RelatedMatch skos:related Id6 Id6 Id6

  5. Candidate List of Terminological resources to be considered in LusTRE Survey on Environmental Thesauri Terminologies in the LOD to be interlinked Terminologies to be included in the TF AGROVOC, ShowTerm, • • Eurovoc, EOSterm, • • SoilThes, UMTHES, • • NERC, ThIST • • ThesSoz, Inspire IFCD and INSPIRE • • Glossary Geological Survey of Austria (GBA)- • thesaurus, EEA-EIONET Data Dictionaries • EnvThes EEA-EIONET AQ pollutants • • O n e G e o l o g y, I U G S – C G I • vocabularies M. De Martino (CNR-IMATI), R. Albertoni (CNR-IMATI), P.Podestà(CNR-IMATI), C. Cipolloni (ISPRA) P. Plini (CNR-IIA), D 4.1 – Survey on environmental thesauri, eENVplus, December 2013 5

  6. Server re-engineering EARTh Interlinking to we moved from D2R +Mysql to Virtuoso + Pubby to have n GEMET + More flexibility (Named Graph) n AGROVOC + Better performance n UMTHES + Materialization of SKOS entailments n DBPEDIA n EUROVOC n EARTh included into the Linked Open Data Cloud: http://datahub.io/it/dataset/environmental-applications-reference-thesaurus Albertoni R., De Martino M., Di Franco S., De Santis V., Plini P.: EARTh: An Environmental Application Reference Thesaurus in the Linked Open Data cloud. Semantic Web, Vol. 5, No. 2, DOI.10.3233/SW-130122, 2014 6

  7. Future actions Further thesauri and linksets (end of the year) Evaluation of provided content • Quality of thesauri included in LusTRE, e.g., deploying qSKOS Suominen, O., Mader, C. : Assessing and Improving the Quality of SKOS Vocabularies . J. Data Semant. (2013) . • Quality and usefulness of Linkset • We are developing in-house quality measures for Linksets extending Albertoni R., Gómez-Pérez A.: Assessing linkset quality for complementing third-party datasets . LDWM 2013: 52-59, 2013

  8. Conclusions … Waiting for next LusTRE’s release … We invite you: ¨ To take a look at the Thesaurus Framework at: http://linkeddata.ge.imati.cnr.it:2020 ¨ To check if a term is contained in TF at: http://linkeddata.ge.imati.cnr.it:8890/fct/ ¨ To access the SPARQL ENDPOINT at: http://linkeddata.ge.imati.cnr.it:8890/sparql ¨ To querying thesaurus concepts, relationships thesaurus ¨ To mappings between EARTh to GEMET, AGROVOC, UMTHES… ¨ To build your own services/application on the TF ¨ To interlink your vocabularies/thesauri with LusTRE’s thesauri For info and support contact albertoni@ge.imati.cnr.it demartino@ge.imati.cnr.it 8

  9. Further in-house technology SSONDE , • a Open Source Framework, • providing an instance similarity • enabling in a detailed comparison and ranking of resources through the comparison of their RDF ontology driven metadata • code available at https://code.google.com/p/ssonde/ Albertoni R, De Martino M: SSONDE: Semantic Similarity on LiNked Data Entities . MTSR 2012: 25-36 Albertoni R., De Martino, M: Asymmetric and Context-Dependent Semantic Similarity among Ontology Instances . J. Data Semantics 10: 1-30 (2008)

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