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Kotis K.,University of Aegean | Alexopoulos P.,IMC Technologies | Papasalouros A.,University of Aegean
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2010

Automatically learned social ontologies are products of social fermentation between users that belong in communities of common interests (CoI), in open, collaborative and communicative environments. In such a setting, social fermentation ensures automatic encapsulation of agreement and trust of the shared knowledge of participating stakeholders during an ontology learning process. The paper discusses key issues for trusting the automated learning of social ontologies from social data and furthermore it presents a framework that aims to capture the interlinking of agreement, trust and the learned domain conceptualizations that are extracted from such a type of data. The motivation behind this work is an effort towards supporting the design of new methods for learning trusted ontologies from social content i.e. methods that aim to learn not only the domain conceptualizations but also the degree that agents (software and human) may trust them or not. © 2010 Springer-Verlag Berlin Heidelberg.

Alexopoulos P.,IMC Technologies | Alexopoulos P.,National Technical University of Athens
International Journal of Fuzzy Systems | Year: 2010

Case Based Reasoning (CBR) is a problem-solving paradigm that uses knowledge of relevant past experiences (cases) to interpret or solve new problems. An evolvement to this paradigm is ontology-based CBR, an approach that combines, in the form of formal ontologies, case specific knowledge with domain one in order to improve the effectiveness of the CBR process. This effectiveness is further improved if ontology-based CBR systems are able to utilize knowledge that is vague or imprecise; to that end, we present in this paper a novel CBR approach that manages and utilizes imprecise knowledge through the integration of Fuzzy Algebra in the ontology-based CBR paradigm. The approach has been applied in real life and constitutes the core of a portal that provides the public with intelligent access to knowledge assets. © 2010 TFSA.

IMC Technologies | Date: 2013-03-25

The present disclosure is directed to improved techniques to allow users with simple actions to perform a set of interactions at once in order to express a quantitative rating (positive or negative), tag an expression from a pre-defined set of expressions and at same time capture a selected range of text or image portion to be possibly quoted or highlighted in a comment. This information is then employed to generate a graphical user interface including a multi-dimensional map to represent the attribute information, and the electronic content, where the multi-dimensional map comprises at least color, size and direction characteristics.

Anadiotis G.,IMC Technologies | Alexopoulos P.,IMC Technologies | Mpaslis K.,IMC Technologies | Zosakis A.,IMC Technologies | And 2 more authors.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2010

In this paper we describe the application of various Semantic Web technologies and their combination with emerging Web 2.0 use patterns in the eParticipation domain and show how they are used in an operational system for the Regional Government of the Prefecture of Samos, Greece. We present parts of the system that are based on Semantic Web technology and how they are merged with a Web 2.0 philosophy and explain the benefits of this approach, as showcased by applications for annotating, searching, browsing and cross-referencing content in eParticipation communities. © 2010 Springer-Verlag.

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