Efstratios Kontopoulos

ORCID: 0000-0002-4435-2521
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About
Contact & Profiles
Research Areas
  • Semantic Web and Ontology Development
  • QoS-Aware Web Services Composition and Semantic Matching
  • Data Stream Management Systems and Techniques
  • Logic Programming and Knowledge Representation
  • Methods and Techniques for Agent-Based Modeling
  • Activity Recognition in Pervasive Computing Environments
  • Data Quality Assessment and Improvement
  • Workflow Mining and Business Process Management
  • Internet of Things and Edge Computing
  • Trajectory Data Mining and Analysis
  • Cloud Robotics and Automation Research
  • Biomedical Ontologies and Text Mining
  • Natural Language Processing
  • Web Data Extraction and Crawling Techniques
  • Management and Reproducibility of Scientific Workflows
  • Automatic Keyword Extraction from Textual Data
  • Distributed Constraint Optimization Problems and Algorithms
  • Archival Science and Digital Preservation
  • Information Overload in Knowledge Management and Work Performance
  • Recommender System Technologies
  • Information Visualization and Visual Data Mining
  • Statistical Mechanics of Complex Networks
  • Artificial Intelligence in Service Industry
  • Data Sharing and Stewardship in Science
  • Statistical Machine Translation and Natural Language Processing

Stockholm University
2022

Information Technologies Institute
2014-2021

Centre for Research and Technology Hellas
2014-2021

International Hellenic University
2013-2017

Association for Computing Machinery
2016

Hella (Germany)
2016

Information Technology Institute
2015

Aristotle University of Thessaloniki
2005-2013

Pervasive and sensor-driven systems are by nature open extensible, both in terms of input tasks they required to perform. Data streams coming from sensors inherently noisy, imprecise inaccurate, with differing sampling rates complex correlations each other. These characteristics pose a significant challenge for traditional approaches storing, representing, exchanging, manipulating programming sensor data. Semantic Web technologies provide uniform framework capturing these properties....

10.1016/j.pmcj.2014.12.009 article EN Pervasive and Mobile Computing 2015-01-09

Defeasible logic is a non-monotonic formalism that deals with incomplete and conflicting information, whereas modal the concepts of necessity possibility. These types logics play significant role in emerging Semantic Web, which enriches available Web information meaning, leading to better cooperation between end-users applications. logics, general, and, particularly, deontic provide means for modeling agent communities, where each characterized by its cognitive profile normative system, as...

10.4018/jswis.2011010102 article EN International Journal on Semantic Web and Information Systems 2011-01-01

This paper presents a novel, integrated platform for energy monitoring, management and savings in the context of Smart University Building. Namely, proposed International Hellenic (IHU) integrates an intelligent, rule-based agent that enforces savings, while variet y applications offers user interaction with system means monitoring management. The application layer is built over common Web Service middleware, incorporating semantic interoperability. Monitoring visualize raw aggregated sensor...

10.3233/ais-160375 article EN Journal of Ambient Intelligence and Smart Environments 2016-04-27

The timely and efficient cooperation across sectors borders during maritime crises is paramount for the safety of human lives. Maritime monitoring authorities are now realizing grave importance cross-sector cross-border information sharing. However, this compromised by diversity existing systems vast volumes heterogeneous data generated exchanged operations. In order to address these challenges, EU has been driving several initiatives, including EU-funded projects, facilitating exchange...

10.3233/sw-200403 article EN Semantic Web 2020-10-13

Abstract Dialogue‐based systems often consist of several components, such as communication analysis, dialogue management, domain reasoning, and language generation. In this paper, we present Converness, an ontology‐driven, rule‐based framework to facilitate reasoning for conversational awareness in multimodal dialogue‐based agents. Converness uses Web Ontology Language 2 (OWL 2) ontologies capture combine the modalities domain, example, deictic gestures spoken utterances, fuelling topic...

10.1111/exsy.12378 article EN Expert Systems 2019-02-12

This paper presents a novel energy management framework for multi-agent coordination in smart buildings. The builds on top of an existing Service-Oriented middleware Ambient Intelligence, which offers sensor and actuator functions wireless devices. also provides semantics infrastructure that assists authoring agent policies reducing consumption maximizing user comfort. Each within the is responsible monitoring environmental context controlling electrical appliances specific room. However,...

10.1109/dexa.2014.39 article EN 2014-09-01
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