I am a Semantic and Knowledge Technologies Professional specializing in semantic solutions design & development as well as in product and market-oriented research in the areas of Intelligent Information Access, Knowledge Management and Semantic Web. Currently I work as a Senior Researcher at iSOCO, focusing on implementing and extending the company’s R&D agenda.

Prior to joining iSOCO I had been working as a semantic solutions architect and ontologist for IMC Technologies S.A. where I was, among others, responsible for the design and development of Knowledge Accelerator, IMC’s solution for Intelligent Information Access & Knowledge Management and the result of my PhD research. During the same period I have been a Computer Science lecturer for Mediterranean College Athens.

My studies include a diploma in Electrical & Computer Engineering from National Technical University of Athens (NTUA) in 2004 and an MSc in Advanced Computing from Imperial College London in 2005. Also, since November 2007 I have been pursuing a PhD degree at NTUA in the area of Knowledge Engineering & Management. My thesis, which is soon to be submitted, involves the development of IKARUS, a novel fuzzy knowledge management framework that enables the effective engineering and management of vague knowledge within organizations and enterprises.

IKARUS (Imprecise Knowledge Acquisition Representation and Use) is a knowledge management framework that provides a comprehensive set of methods and tools for capturing, modeling, retrieving and managing vague knowledge in enterprise and organizational settings.

Its development is based on the combination of techniques and methods from the areas of Case Based Reasoning, Ontologies and Fuzzy Logic. Through this combination, the primary components of IKARUS that have been developed are the following:

• The fuzzy ontology development methodology IKARUS-Onto which enables the modeling of vague knowledge by means of ontologies.
• The fuzzy knowledge management framework IKARUS-CBR which enables the lifecycle management of knowledge assets that contain vagueness.
• The fuzzy knowledge management platform IKARUS-Platform which enables the practical use of the above in practical application scenarios.

IKARUS-Onto is a novel methodology for effectively developing reusable and shareable fuzzy ontologies from existing crisp ones. The methodology provides concrete steps and guidelines for i) correctly identifying vague knowledge within a domain (e.g. by not mixing vagueness with other notions such as uncertainty or ambiguity) and ii) modelling this knowledge by means of fuzzy ontology elements in an explicit and as much as possible accurate way.

IKARUS-CBR is a novel Knowledge Intensive Case Based Reasoning framework that may handle and exploit vague knowledge through the effective integration of Fuzzy Ontologies in the CBR paradigm. The approach it follows differs from other Fuzzy CBR approaches in that it uses ontologies as the “vehicle” for the introduction of fuzzy semantics to CBR. The integration of Fuzzy Ontologies in CBR is performed in the framework in two levels, the first having to do with the representation of vague knowledge itself and the second with the latter’s exploitation for case retrieval. In particular, the framework supports the representation of vague case-specific and domain-specific knowledge through a comprehensive fuzzy ontology framework while the retrieval of cases is enabled by a highly customizable fuzzy semantic similarity framework.

The IKARUS Framework has been the core component of IMC’s Knowledge Accelerator solution.