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Alexopoulos P.,IMC Technologies | Wallace M.,University of Peloponnese | Kafentzis K.,IMC Technologies | Zoumas C.,Hellenic Transmission System Operator SA | Askounis D.,National Technical University of Athens
Studies in Computational Intelligence | Year: 2010

In this chapter we combine theory from ontologies, case base reasoning and fuzzy algebra to construct a novel framework for semantic-enabled information access. This framework is able to provide a comprehensive and effective way for the development of semantic information retrieval systems aimed to serve specific domains and operate in under specific contexts. In order to facilitate readers and also demonstrate the effectiveness of the proposed framework the theory is presented through a real life application in the electricity market domain. © 2010 Springer-Verlag Berlin Heidelberg.

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.

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 | Wallace M.,University of Peloponnese | Kafentzis K.,IMC Technologies | Askounis D.,National Technical University of Athens
Knowledge and Information Systems | Year: 2012

Fuzzy Ontologies comprise a relatively new knowledge representation paradigm that is being increasingly applied in application scenarios in which the treatment and utilization of vague or imprecise knowledge are important. However, the majority of research in the area has mostly focused on the development of conceptual formalisms for representing (and reasoning with) fuzzy ontologies, while the methodological issues entailed within the development process of such an ontology have been so far neglected. With that in mind, we present in this paper IKARUS-Onto, a comprehensive methodology for developing fuzzy ontologies from existing crisp ones that significantly enhances the effectiveness of the fuzzy ontology development process and the quality, in terms of accuracy, shareability and reusability, of the process's output. © 2011 Springer-Verlag London Limited.

Anadiotis G.,IMC Technologies | Kafentzis K.,IMC Technologies | Pavlopoulos I.,IMC Technologies | Pavlopoulos I.,Athens University of Economics and Business | Westerski A.,Technical University of Madrid
WWW'12 - Proceedings of the 21st Annual Conference on World Wide Web Companion | Year: 2012

In this paper we outline the design and implementation of the eDialogos Consensus process and platform to support wide-scale collaborative decision making. We present the design space and choices made and perform a conceptual alignement of the domains this space entails, based on the use of the eDialogos Consensus ontology as a crystallization point for platform design and implementation as well as interoperability with existing solutions. We also present a metric for calculating agreement on the issues under debate in the platform, incorporating argumentation structure and user feedback. Copyright is held by the International World Wide Web Conference Committee (IW3C2).

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.

Alexopoulos P.,IMC Technologies | Pavlopoulos J.,Athens University of Economics and Business | Wallace M.,University of Peloponnese | Kafentzis K.,IMC Technologies
ACM International Conference Proceeding Series | Year: 2011

In this paper we propose a novel method for automatically generating and recommending semantic tags for text documents, namely terms that reflect the intended meaning of the document in an accurate and complete way. Our approach is based on the utilization of existing domain knowledge, in the form of ontologies, and particularly in the selection and exploitation of those ontological relations that are most appropriate for the given tagging scenario and domain. Experimental evaluation of the method with significant number of documents and high volume of ontological knowledge shows a high level of accuracy as far as tag identification is concerned. © 2011 ACM.

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.

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