48 research outputs found
empathi: An ontology for Emergency Managing and Planning about Hazard Crisis
In the domain of emergency management during hazard crises, having sufficient
situational awareness information is critical. It requires capturing and
integrating information from sources such as satellite images, local sensors
and social media content generated by local people. A bold obstacle to
capturing, representing and integrating such heterogeneous and diverse
information is lack of a proper ontology which properly conceptualizes this
domain, aggregates and unifies datasets. Thus, in this paper, we introduce
empathi ontology which conceptualizes the core concepts concerning with the
domain of emergency managing and planning of hazard crises. Although empathi
has a coarse-grained view, it considers the necessary concepts and relations
being essential in this domain. This ontology is available at
https://w3id.org/empathi/
Domain knowledge Interoperability to build the Semantic Web of Things W3C Workshop on the Web of Things
Semantic Web of Things (SWoT) is a new field to combine Internet of Things (IoT) and semantic web technologies. We observe that the semantic web guidelines are generally not known by the IOT community which hinders automation or reuse of domain knowledge (ontologies, datasets and rules) whereas initially an ontology was designed to be easily shared and reused
A Social Semantic Web Access Control Model
International audienceIn the Social Web, the users are invited to publish a lot of personal information. These information can be easily retrieved, and sometimes reused, without providing the users with fine-grained access control mechanisms able to restrict the access to their profiles, and resources. In this paper, we present an access control model for the Social Semantic Web. Our model is grounded on the Social Semantic SPARQL Security for Access Control Ontology. This ontology can be used by the users to define, thanks to an Access Control Manager, their own terms of access to the data. Moreover, the Access Control Manager allows to check, after a query, to which extent the data is available, depending on the user's profile. The evaluation of the access conditions is related to di↵erent features, such as social tags, contextual information, being part of a group, and relationships with the data provider
An Access Control Model for Linked Data
International audienceLinked Open Data refers to a set of best practices for the publication and interlinking of structured data on the Web in order to create a global interconnected data space called Web of Data. To ensure the resources featured in a dataset are richly described and, at the same time, protected against malicious users, we need to specify the conditions under which a dataset is accessible. Being able to specify access terms should also encourage data providers to publish their data. We introduce a lightweight vocabulary, called Social Semantic SPARQL Security for Access Control Ontology (S4AC), allowing the definition of fine-grained access control policies formalized in SPARQL, and enforced when querying Linked Data. In particular, we define an access control model providing the users with means to define policies for restricting the access to specific RDF data, based on social tags, and contextual information
A review and comparison of ontology-based approaches to robot autonomy
Within the next decades, robots will need to be able to execute a large variety of tasks autonomously in a large variety of environments. To relax the resulting programming effort, a knowledge-enabled approach to robot programming can be adopted to organize information in re-usable knowledge pieces. However, for the ease of reuse, there needs to be an agreement on the meaning of terms. A common approach is to represent these terms using ontology languages that conceptualize the respective domain. In this work, we will review projects that use ontologies to support robot autonomy. We will systematically search for projects that fulfill a set of inclusion criteria and compare them with each other with respect to the scope of their ontology, what types of cognitive capabilities are supported by the use of ontologies, and which is their application domain.Peer ReviewedPostprint (author's final draft
Cross-domain interoperability using federated interoperable semantic IoT/Cloud testbeds and applications: The FIESTA-IoT approach
This work is funded by the European Commission under the EU-H2020 Project Grant ”Federated Interoperable Semantic IoT/cloudTestbeds andApplications (FIESTA)” with the Grant Agreement No. CNECT-ICT-643943