Panos Alexopoulos

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Intelligent Data and Knowledge Technologies Professional, implementing and managing R&D projects in the areas of Business Intelligence/Analytics and Intelligent Information Access. Specialties: • Data and Knowledge Engineering • Data and Text Analytics • Semantic Search and Question Answering • Knowledge and Technology Transfer Research Interests: • Information Extraction and Knowledge Discovery • Knowledge Graph Construction and Management • Uncertainty and Vagueness in Data and Knowledge Engineering • Data Quality and Reuse

vagueness fuzzy ontologies semantic tagging ontologies interoperability data science semantics data modeling named entity resolution disambiguation diagnostics vagueness measurement vagueness detection vagueness ontology semantic web ontology semantic data ontology metamodel linked data semantic data reuse semantic data summarization knowledge management microblogging social web semantic information named entity disambiguation

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Panos Alexopoulos

How many truths can you handle?

Mind the Semantic Gap

Troubleshooting and Optimizing Named Entity Resolution Systems in the Industry

Detecting, Measuring and Representing Vagueness in Ontologies

A Vague Sense Classifier for Detecting Vague Definitions in Ontologies

Towards Vagueness-Aware Semantic Data

Towards Purposeful Reuse of Semantic Datasets Through Goal-Driven Summarization

Learning Vague Knowledge From Socially Generated Content in an Enterprise Framework

Vagueness in Semantic Information Management

Improving Automatic Semantic Tag Recommendation through Fuzzy Ontologies

Scenario-Driven Selection and Exploitation of Semantic Data for Optimal Named Entity Disambiguation

Semantic Tag Recommendation