Stasinos Konstantopoulos

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—We describe an Inductive Logic Programming (ILP) approach to learning descriptions in Description Logics (DL) under uncertainty. The approach is based on implementing many-valued DL proofs as propositionalizations of the elementary DL constructs and then providing this implementation as background predicates for ILP. The proposed methodology is tested on a(More)
In this paper we describe a fuzzy Description Logic reasoner which implements resolution in order to provide reasoning services for expressive fuzzy DLs. The main innovation of this implementation is the ability to reason over assertions with abstract (unspecified) fuzzy degrees. The answer to queries is, consequently, an algebraic expression involving the(More)
The management of resources is a great challenge for commanders in Search and Rescue operations and has a strong impact on all areas of operation control, as command-and-communication structure, geo-referenced information, and operational tasks are interconnected with complex relations. During an operation these are subject to dynamic changes. For an(More)
This report describes an ontology data service (ODS) for supporting Search and Rescue (SaR) operations. The ontological model represents various aspects of the command, communication, and organisational structure of the SaR forces and the deployment and progress of a SaR operation. Furthermore, the ontology supports the semantic indexing of multimedia(More)
This paper reports on the LEARNING COMPUTATIONAL GRAMMARS (LCG) project, a postdoc network devoted to studying the application of machine learning techniques to grammars suitable for computational use. We were interested in a more systematic survey to understand the relevance of many factors to the success of learning, esp. the availability of annotated(More)
This chapter introduces Inductive Logic Programming from the perspective of search algorithms in Computer Science. It first briefly considers the Version Spaces approach to induction , and then focuses on Inductive Logic Programming: from its formal definition and main techniques and strategies, to priors used to restrict the search space and optimized(More)
One of the greatest challenges in current human-computer interaction research is the development of natural and af-fective interfaces. We present personality modelling as the inference of emotion and affect parameters, used by the dialogue management and user interaction components of a robot architecture. We discuss in detail the personality representation(More)
In this paper we describe an authoring environment for the creation of cultural-domain ontologies and the associated linguistic and profile annotations, for dynamically generating adaptable natural-language descriptions of the cultural objects in the ontology. Adaptation is achieved at the expense of considerable authoring effort, since it relies on(More)