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Organizations have an increasing need to adapt faster their Information Systems to technical, functional and legal changes. One way proposed in the literature is to make a deep process analysis in order to have a better comprehension of the business process (BP) and adapt it to its new context. In this paper, we propose a meta model for a BP contextualization solution. The solution links a BP with...
One of the biggest challenges in Big Data is to exploit value from large volumes of variable and changing data. For this, one must focus on analyzing the data in these Big Data sources and classify the data items according to a domain model (e.g. an ontology). To automatically classify unstructured text documents according to an ontology, a hierarchical multi-label classification process called Semantic...
Process mining algorithms use event logs to learn and reason about processes by technically coupling event history data and process models. During the execution of a learning process, several events occur which are of interest and/or necessary for completing and achieving a learning goal. The work in this paper describes a Semantic Process Mining approach directed towards automated learning. The proposed...
Ontologies are described for elements, processes and chains of petroleum systems. Sedimentary basins, comprising of multiple petroleum systems are simulated in an integrated framework in which domain ontologies are integrated to generate a metadata. Several data views are generated from various data mining schemes. Domain knowledge is interpreted from these data views for decision support systems.
In this paper we propose a conceptual semantic based tourism platform that enables users to consume mash up applications by using a multi agent system. We explore different mechanisms for discovery, publishing, composition and querying of services. In particular, we present a methodology for collecting, organizing and searching data distributed in different resources-RDF data sets- and - Application...
This research advances Cyber Situation Management by proposing methods for automated mapping of Cyber Assets to Missions and Users (Camus). To enable accurate and efficient cyber incident mission impact assessment, a Camus ontology that defines entities, relationships and attributes (ERAs) associated with them has been drafted. Methods for fusing data from multiple data sources have been developed...
Most service and network management applications are developed to use vendor- and device-specific management data. These data are produced from different languages, and hence can have different representations of the same concept. We define a novel knowledge representation and mapping mechanism that uses ontological concepts and relations to generate a formal description for the Directory Enabled...
The approach taken with OGEP is to parse relevant domain data in the form of unstructured content (or corpus) and use that knowledge to generate and/or evolve an existing ontology. OGEP creates a constant conversation between the corpus parser and a reasoning mechanism (corpus reasoner) that continually formulates potential ontology modifications in the form of hypotheses. These hypotheses are weighted...
Despite the critical importance of semantic interoperability between heterogeneous databases, current approaches have not been sufficiently effective and comprehensive. We propose an ontology-based solution, which use two kinds of ontologies called schema-level conflict ontology and data-level conflict ontology (SLCO and DLCO). SLCO and DLCO are two ontologies for detecting and resolving schema and...
In services using lifelog collected continuously and over a long period of time, disclosure control is essential in order to deal with the privacy because this lifelog includes confidential information which users are unwilling to disclose freely. This paper proposes an ontology model for disclosure control needed to handle each user's lifelog. The user is able to easily set disclosure rules on his/her...
Seamless mobility has been described as providing collaborative mechanisms that enable a user to accomplish his or her tasks without regard to technology, type of media, or device. This paper examines how the FOCALE autonomic architecture, in conjunction with a novel understanding of the environment based on the integration of information models and ontologies, can realize these challenges.
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