The interoperability of electronic healthcare information systems is critical for a more effective healthcare management. Several specifications and standards have been created for facilitating such interoperability at different levels. Among them, the OpenEHR initiative emphasizes the sharing of flexible specifications of healthcare information pieces in the form of archetypes. However, the Op...

The Software & Systems Process Engineering meta-model (SPEM 2) allows the modelling of software process using OMG’s MOF meta-model and UML profiles, thus being compliant with UML tools. Process definition encompasses both the static structure of activities, roles, tasks and work products and the constraints on those elements. The latter require support for constraint enforcement that is not dir...

In the present paper we describe IntelliDomo’s learning model, an ontology-based expert system able to control a home automation system and to learn user’s behaviour. This system obtains its own data from the user’s daily activities. From these data, IntelliDomo can detect behaviour periodic patterns and it can be able to generate SWRL rules that anticipate the user’s day-to-day activities. One...

General purpose query interfaces to relational databases can expose vast amounts of content to the Semantic Web. In this paper, we discuss Automapper, a tool that automatically generates data source and mapping ontologies using OWL and SWRL. We also describe the use of these ontologies in our Semantic Distributed Query architecture, an implementation for mapping RDF queries to disparate data so...

Semantic Web technologies are part of multi-agent engineering, especially regarding knowledge base support. Recent advances in the field of logic for the semantic web enable a new range of applications. Among them, programming agents based on semantic rules is a promising field. In this paper we present an semantic agent model that allows SWRL programming of agents. Our approach based on the ex...

This paper proposes an ontology for task representation and inference. The ontology was developed to support reasoning about tasks, such as task recognition and relocation. Our proposal is formalized in OWL (Web Ontology Language) and SWRL (Semantic Web Rule Language). We show one scenario to exemplify reasoning situations based on the axioms and rules of our ontology. This knowledge-level repr...

This paper proposes an addition to OWL 2 syntax to incorporate nominal schemas, which is a new description-logic style extension of OWL 2 which was recently proposed, and which makes is possible to express “variable nominal classes” within axioms in an OWL 2 ontology. Nominal schemas make it possible to express DL-safe rules of arbitrary arity within the extended OWL paradigm, hence covering th...

The effective application of a data mining process is littered with many difficult and technical decisions (i.e. data cleansing, feature transformations, algorithms, parameters, evaluation). Subsequently, most data mining products provide a large number of models and tools, but few provide intelligent assistance for addressing the above-mentioned challenges that face the non-specialist data min...

It is common for information exchange between heterogeneous systems to be syntactically correct but fail to achieve its intended purpose due to semantic mismatches. NATO research group IST-094 is developing a framework to facilitate semantic interoperability. We will show a live demonstration of one possible approach to implementing a message translation broker, following the Semantic Interoper...

This paper presents the integration process of spatial technologies and Semantic Web technologies and its associated tool. The result of this work is a spatial query and rule engine of spatial. To do so, existing ontology with spatial elements is adjusted in order to process the spatial knowledge through spatial technologies. This paper outlines the methods and the processes of these adjustment...