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Current expectations from nowadays information retrieval systems (IRS) have grown beyond the “document contains these terms” requirement that was considered common sense 10–15 years ago. Nowadays systems are expected to return results that are relevant to the intended meaning of the query. In the general IRS usage scenario, the user is not really interested if the returned documents contain or not...
We research ontological indexing and querying as a solution for getting better results in information retrieval, which translates in getting the most relevant documents meeting a query. While most of the research in this field focuses on query reformulation and document representation methods, we focused our research on an ontology-based query guidance system (our proposed OntoSense engine &...
This paper brings forth building spatio-temporal reasoning architecture and spatio-temporal query system based on adopting geo-ontology to represent spatio-temporal information knowledge and employing SWRL rules to express spatio-temporal reasoning rules. When carrying through spatiotemporal reasoning this paper adopts Jess to be a reasoner, which is the core of the whole architecture. Before carrying...
The ability of case-based reasoning (CBR) systems to solve new problems mainly depends on their case adaptation knowledge and adaptation strategies. In order to improve the performance of a case-based reasoning paradigm for the creative design of electromagnetic (EM) devices, we have adopted a semantic network to organize related adaptation knowledge, and then construct a rule system as an inference...
We discuss issues in testing various cognitive fusion algorithms for situation management. We provide a proof-of-principle discussion and demo showing how gaming technologies and platforms could be used to devise and test various fusion algorithms, including input, processing, and output, and we look at how the proof-of-principle could lead to more advanced test beds and methods for high-level fusion...
As scientific achievements in the area of Healthcare have evolved during the last decade, inevitably there has been an increase of treatment quality. One of the challenges to be confronted is the personalization of treatment since each patient constitutes a unique case. The personalization requires the continuous reconfiguration of the treatment schemes since the clinical status of each patient and...
This paper presents a new approach for automatic Web service composition based on the formalism of Fluent Calculus using semantic Web service descriptions. In our approach, the Web service composition process is viewed as an AI planning problem in the Fluent Calculus formalism. To semantically describe Web services, we have used a Web service domain ontology which is then translated into a Fluent...
In the recent past, a relevant effort has been devoted to the definition of process modeling languages (PMLs). The resulting languages and environments, although technically successful, did not receive much attention from industry. On the contrary, researchers and practitioners have recently started experimenting with the usage of UML as a PML. Being so popular and widely used, UML has an important...
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