6 research outputs found

    A Tool to Explore the Population of a CIDOC-CRM Ontology

    Get PDF
    This paper presents a visualising tool to explore the population of an Ontology, obtained through the processes of automatic migration and text information extraction. It was developed in the context of EPISA project, a R&D project that aims to represent the Portuguese National Archives records information in CIDOC-CRM, an ontology developed for museums. The tool allows the migration process developers to visualise the instances and their properties, and to debug the migration process and the migration representation model, or to explore the Archives by final users. It uses modeling and reasoners OWL-API with SPARQL-DL queries to obtain the exploration results

    Livre Blanc du consortium Mémoires des Archéologues et des Sites Archéologiques: Guide des bonnes pratiques numériques en archéologie (Le)

    Get PDF
    « Le consortium Mémoires des archéologues et des sites archéologiques (MASA), de la très grande infrastructure de recherche IR* Huma-Num, est né à la fin de l’année 2012 de l’expérience acquise par et au sein de plusieurs Maisons des Sciences de l’Homme dans le domaine de l’archéologie et du traitement de la documentation produite par les archéologues.(…) Les objectifs de ce Livre Blanc sont de synthétiser l’ensemble des bonnes pratiques numériques tout au long du cycle de vie des données pour accompagner la communauté archéologique à publier ses données dans le Web sémantique en assurant leur diffusion. (…) » Ont participé à ce livre blanc : Bruno Baudoin, Loup Bernard, Laure Bézard, Romain Boissat, Pierre-Yves Buard, Agnieszka Halczuk, Florian Hivert, Jamet Hélène, Blandine Nouvel, Xavier Rodier, Miled Rousset, Lizzie Scholtus, Olivier Marle

    A strategy for archives metadata representation on CIDOC-CRM and knowledge discovery

    Get PDF
    This paper presents a strategy for the semantic migration of Portuguese National Archives records into CIDOC-CRM standard, an ontology developed for museums, within the context of the EPISA project. The approach to automatically populate the CIDOC-CRM is based on Mapping Description Rules to semantically translate the archives descriptive information into CIDOC-CRM representation. The compliance of the CIDOC-CRM model recommendations guarantees that the populated CIDOC-CRM ontology of archives descriptive information verifies interoperability, and could be linked and integrated with other populated CIDOC-CRM ontologies. In the information modelling, requirements on the mapping representation, due to the intent of interpreting natural language text to automatically extract information of metadata text fields and to interpret natural language queries, are taken into account. To automatically interpret the Mapping Description Rules, OWL API was used to obtain the set of assertions that represents the information in the target ontology and two datasets are available with some migration examples. The exploration of the knowledge representation is done through some Description Logic queries to highlight the advantages of having this new representation of the National Archives. The evaluation of the resulting representation can be done automatically proving its correctness for the metadata that has a direct representation in CIDOC-CRM

    OpenArchaeo for Usable Semantic Interoperability

    Get PDF
    International audienceCIDOC CRM is an ontology intended to facilitate the integration, mediation and interchange of heterogeneous cultural heritage information. The Semantic Web with its Linked Open Data cloud enables scholars and cultural institutions to publish their data in RDF, using CIDOC CRM as an interlingua that enables a semantically consistent re-interpretation of their data. Nowadays more and more projects have done the task of mapping legacy datasets to CIDOC CRM, and successful Extract-Transform-Load data-integration processes have been performed in this way. A next step is enabling people and applications to actually dynamically explore autonomous datasets using the semantic mediation offered by CIDOC CRM. This is the purpose of OpenArchaeo, a tool for querying archaeological datasets on the LOD cloud. We present its main features: the principles behind its user friendly query interface and its SPARQL Endpoint for programs, together with its overall architecture designed to be extendable and scalable, for handling transparent interconnections with evolving distributed sources while achieving good efficiency

    Proceedings of the First International Workshop on Open Data and Ontologies for Cultural Heritage (ODOCH'19)

    No full text
    The proceedings contain 10 papers. The topics discussed include: OpenArchaeo for usable semantic interoperability; LOD publication in the archival domain: methods and practices; joint digitization of heterogeneous university collections using semantic web technologies; heterotoki: nonstructured and heterogeneous terminology alignment for digital humanities data producers; an ontology and a collaborative knowledge base for history of computing; modeling changes in diaries, correspondence and authors' libraries to support research on reading: the READ-IT approach; towards an ontology for investigating on archaeological Sicilian landscapes; AMMO ontology of Finnish historical occupations; and ArCo ontology network and LOD on Italian cultural heritage
    corecore