Entre Sécurité des patients et bien-être des soignantsJan-Cedric Hansen
Article publié dans le numero 145 de la revue Préventique http://www.preventique.org proposant une clarification des objectifs, politiques, instances, démarches théoriques, ..., relativement aux questions des risques, de la santé-sécurité des patients/résidents et du personnel dans le domaine sanitaire et médico-social.
Entre Sécurité des patients et bien-être des soignantsJan-Cedric Hansen
Article publié dans le numero 145 de la revue Préventique http://www.preventique.org proposant une clarification des objectifs, politiques, instances, démarches théoriques, ..., relativement aux questions des risques, de la santé-sécurité des patients/résidents et du personnel dans le domaine sanitaire et médico-social.
Mining and Managing Large-scale Linked Open DataAnsgar Scherp
Linked Open Data (LOD) is about publishing and interlinking data of different origin and purpose on the web. The Resource Description Framework (RDF) is used to describe data on the LOD cloud. In contrast to relational databases, RDF does not provide a fixed, pre-defined schema. Rather, RDF allows for flexibly modeling the data schema by attaching RDF types and properties to the entities. Our schema-level index called SchemEX allows for searching in large-scale RDF graph data. The index can be efficiently computed with reasonable accuracy over large-scale data sets with billions of RDF triples, the smallest information unit on the LOD cloud. SchemEX is highly needed as the size of the LOD cloud quickly increases. Due to the evolution of the LOD cloud, one observes frequent changes of the data. We show that also the data schema changes in terms of combinations of RDF types and properties. As changes cannot capture the dynamics of the LOD cloud, current work includes temporal clustering and finding periodicities in entity dynamics over large-scale snapshots of the LOD cloud with about 100 million triples per week for more than three years.
Provenance Analysis and RDF Query Processing: W3C PROV for Data Quality and T...satyasanket
The tutorial will be of interest to: (a) academic researchers who are incorporating provenance metadata in their research for data quality; (b) developers working on scalable platforms for emerging domain applications, such as IOT, LOD, and healthcare and life sciences. In addition to its meaningful breadth, the tutorial will present key technical topics that have seen significant research. These include, provenance modeling, querying and indexing techniques for W3C RDF datasets for provenance querying, and building complex provenance-enabled healthcare informatics platforms. The tutorial will cover the W3C PROV specifications, which are being used to integrate provenance in information systems, including the PROV Data Model (PROV-DM), PROV Ontology (PROV-O), and the PROV constraints.
Now it is getting common for farmers to use IT systems to manage their activities. To realize incomparability among IT systems, we are building the vocabulary based on the agricultural activity ontology. The words in the vocabulary have logical definitions because the ontology is formalized based on description logic. As a result, the vocabulary has expendability to add new words and flexibility to generate custom vocabularies such like those for specific crops and regions.
Mining and Managing Large-scale Linked Open DataAnsgar Scherp
Linked Open Data (LOD) is about publishing and interlinking data of different origin and purpose on the web. The Resource Description Framework (RDF) is used to describe data on the LOD cloud. In contrast to relational databases, RDF does not provide a fixed, pre-defined schema. Rather, RDF allows for flexibly modeling the data schema by attaching RDF types and properties to the entities. Our schema-level index called SchemEX allows for searching in large-scale RDF graph data. The index can be efficiently computed with reasonable accuracy over large-scale data sets with billions of RDF triples, the smallest information unit on the LOD cloud. SchemEX is highly needed as the size of the LOD cloud quickly increases. Due to the evolution of the LOD cloud, one observes frequent changes of the data. We show that also the data schema changes in terms of combinations of RDF types and properties. As changes cannot capture the dynamics of the LOD cloud, current work includes temporal clustering and finding periodicities in entity dynamics over large-scale snapshots of the LOD cloud with about 100 million triples per week for more than three years.
Provenance Analysis and RDF Query Processing: W3C PROV for Data Quality and T...satyasanket
The tutorial will be of interest to: (a) academic researchers who are incorporating provenance metadata in their research for data quality; (b) developers working on scalable platforms for emerging domain applications, such as IOT, LOD, and healthcare and life sciences. In addition to its meaningful breadth, the tutorial will present key technical topics that have seen significant research. These include, provenance modeling, querying and indexing techniques for W3C RDF datasets for provenance querying, and building complex provenance-enabled healthcare informatics platforms. The tutorial will cover the W3C PROV specifications, which are being used to integrate provenance in information systems, including the PROV Data Model (PROV-DM), PROV Ontology (PROV-O), and the PROV constraints.
Now it is getting common for farmers to use IT systems to manage their activities. To realize incomparability among IT systems, we are building the vocabulary based on the agricultural activity ontology. The words in the vocabulary have logical definitions because the ontology is formalized based on description logic. As a result, the vocabulary has expendability to add new words and flexibility to generate custom vocabularies such like those for specific crops and regions.
