LusTRE: a Linked Thesaurus fRamework for Environment

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Short presentation at LOD2014, 21 February 2014, Rome,Italy

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  • IN questa breve presentazione introdurrò Lustre, un framework di thesauri per l’ambiente che stiamo sviluppando nell’ambito del progetto europeo eENVPLUS.
  • Come è noto le implementation RULEs di INSPIRE al fine di facilitare la catalogazione e il riuso dei dati e servizi geografici prescrivono l’impiego di thesauri nella compilazione del metatada INSPIRE
    Tuttavia,
    Vi sono differenti thesauri sviluppati negli anni con caratteristiche piuttosto eterogene in termini di copertura tematica, multilinguismo e popolarità all’interno delle specifiche comunità coinvolte nella gestione dei dati e servizi geografici.
    A seconda di chi compila il metadato ed i tematismi coinvolti ,la scelta del tesauro da addottare può legittimamente cadere su un thesaurus piuttosto che un altro
    Pero a livello europeo ci si trova ad avere spatial data infrastructure con risorse documentate con thesauri differenti
    è quindi è importante cercare di facilitare l’impiego congiunto di tesauri per
    - (i) trarre vantaggio dalle differenti specificità dei thesauri
    -(II) facilitare la ricerca di risorse che magari sono state annotate con differenti thesauri
  • per facilitare l’impiego congiunto di questi thesauri nell’ambito nasce LusTRE
    del progetto Europeo eENVplus Stiamo costruendo un framework per mettere a fattore comune diversi thesauri
    In particololare, partino dai risultati ottenuni in un nostro precendete progetto
    to catalogue geographical data/information/services enabling the sharing among the different communities working in environment-related domains
  • Earth come general purpouse thesaurus, essendo una estensione di GEMET, che include più di 14000 concetti
    A questo abbiamo aggiunto risorse terminologiche per coprire più in specifico i tematismi InSPIRE in cui si focalizzava il progetto natureSDIplus,
    Habitat and biotopes, species distribution, Biogeographical regions, protect sites
  • LusTRE: a Linked Thesaurus fRamework for Environment

    1. 1. LusTRE: a Linked Thesaurus fRamework for Environment Riccardo Albertoni1, Monica De Martino1, Paola Podestà1, Paolo Plini2   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 1 W3C-IT LOD 2014, Rome, Italy, 20-21 Feb 2014
    2. 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., AGROVOC EARTh GEMET THiST … Thesauri are heterogeneous wrt thematic coverage, multilinguality, granularities, popularity in certain communities Heterogeneity is precious!!!
    3. 3. LusTRE: Enabling Thesauri Joint Exploitation Modularity Modularity To add new KOS as a new module To add new KOS as a new module Openness Openness plugged easilyset of thesauri in the plugged in the set of thesauri KOS in the extend each in the To easily extend each KOS To TF Interlinking TF Interlinking keeping separated the original one Design Principle (NatureSDIPlus 2009-2011) keeping separatedthe terms referring the original one Linking among the terms referring Linking among Exploitability Exploitability to the same concepts in more then to the same concepts in more then To encode in a standard and flexible format To encode standard and flexible format one thesaurus ain order to harmonize one order to in in order toadoption and its harmonize in thesaurus encourage the adoption and its in order to their usage. encourage the their usage. enrichment from third party system enrichment from third party system Simple Knowledge Organization System (SKOS) to encode the thesaurus content Linked Data best practices to publish the thesaurus in machine understandable format 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 TF Extension (eENVplus 2013-2015) Publication of further thesauri not yet exposed as Linked data Interlinking with well-known LOD environmental related thesauri Services to access LusTRE and cross- Common Thesaurus Framework (TF) walking from a thesaurus to another 3
    4. 4. 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, • • Geological Survey of Austria (GBA)thesaurus, • Inspire IFCD Glossary • EnvThes and INSPIRE EEA-EIONET Data Dictionaries • EEA-EIONET AQ pollutants • One Geology, vocabularies IUGS–CGI 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
    5. 5. Server re-engineering we moved from D2R +Mysql to Virtuoso + Pubby to have + More flexibility (Named Graph) + Better performance + Materialization of SKOS entailments EARTh Interlinking to GEMET AGROVOC UMTHES DBPEDIA EUROVOC 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
    6. 6. 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
    7. 7. 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
    8. 8. 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)
    9. 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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