Antonis Bikakis

ORCID: 0000-0003-4162-1818
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About
Contact & Profiles
Research Areas
  • Semantic Web and Ontologies
  • Logic, Reasoning, and Knowledge
  • Multi-Agent Systems and Negotiation
  • Context-Aware Activity Recognition Systems
  • Data Management and Algorithms
  • Service-Oriented Architecture and Web Services
  • Natural Language Processing Techniques
  • Access Control and Trust
  • AI-based Problem Solving and Planning
  • 3D Surveying and Cultural Heritage
  • Topic Modeling
  • Advanced Text Analysis Techniques
  • Digital Humanities and Scholarship
  • Geographic Information Systems Studies
  • Archaeological Research and Protection
  • Advanced Database Systems and Queries
  • Mobile Crowdsensing and Crowdsourcing
  • Bayesian Modeling and Causal Inference
  • Auction Theory and Applications
  • Robotics and Automated Systems
  • Bluetooth and Wireless Communication Technologies
  • Game Theory and Voting Systems
  • Cultural Heritage Management and Preservation
  • Privacy, Security, and Data Protection
  • Biomedical Text Mining and Ontologies

City, University of London
2024

University College London
2014-2024

FORTH Institute of Computer Science
2005-2023

Aristotle University of Thessaloniki
2023

The London College
2015

Shanghai Jiao Tong University
2013

UCL Australia
2012

Foundation for Research and Technology Hellas
2005-2011

University of Luxembourg
2011

University of Crete
2004-2010

Non-fungible tokens (NFTs) make it technically possible for digital assets to be owned and traded, introducing the concept of scarcity in realm first time. Resulting from this technical development, paper asks question, do they provide an opportunity fundraising galleries, libraries, archives museums (GLAM), by selling ownership copies their collections? Although NFTs current format were invented 2017 as a means game players trade virtual goods, reached mainstream 2021, when auction house...

10.3390/app11219931 article EN cc-by Applied Sciences 2021-10-24

Nonmonotonic rule systems are expected to play an important role in the layered development of semantic Web. Defeasible reasoning is a direction nonmonotonic that based on use rules may be defeated by other rules. It simple, but often more efficient approach than for with incomplete and inconsistent information. This paper reports implementation system defeasible The 1) syntactically compatible RuleML, 2) features strict rules, priorities, two kinds negation, 3) translation logic programming...

10.1109/tkde.2007.29 article EN IEEE Transactions on Knowledge and Data Engineering 2007-01-04

The imperfect nature of context in Ambient Intelligence environments and the special characteristics entities that possess share available information render contextual reasoning a very challenging task. accomplishment this task requires formal models handle involved as autonomous logic-based agents provide methods for handling distributed context. This paper proposes solution based on Multi-Context Systems paradigm which local knowledge ambient is encoded rule theories (contexts), flow...

10.1109/tkde.2010.37 article EN IEEE Transactions on Knowledge and Data Engineering 2010-02-19

While Large Language Models (LLMs) demonstrate impressive reasoning capabilities, understanding and validating their knowledge utilization remains challenging. Chain-of-thought (CoT) prompting partially addresses this by revealing intermediate steps, but the flow application remain implicit. We introduce IAO (Input-Action-Output) prompting, a structured template-based method that explicitly models how LLMs access apply during complex tasks. decomposes problems into sequential each clearly...

10.48550/arxiv.2502.03080 preprint EN arXiv (Cornell University) 2025-02-05

10.1016/j.ijar.2019.03.006 article EN publisher-specific-oa International Journal of Approximate Reasoning 2019-03-29

Today, privacy is a key concept. It also one which rapidly evolving with technological advances, and there no consensus on single definition for it. In fact, the concept of has been defined in many different ways, ranging from "right to be left alone" being "commodity" t hat can bought sold. same time, powerful Ambient Intelligence (AmI) systems are developed, that deploy context-aware, personalised, adaptive anticipatory services. such personal data vastly collected, stored, distributed,...

10.3233/ais-160405 article EN Journal of Ambient Intelligence and Smart Environments 2016-11-08

10.1016/j.artint.2020.103352 article EN publisher-specific-oa Artificial Intelligence 2020-06-29

In an increasingly instrumented and inter-connected digital world, citizens generate vast amounts of data, much it personal, nearly all valuable. However, controlling who can collect it, limiting what they do with determining how best to protect remain deeply undecided issues. This position paper proposes a socio-technical solution based on collective awareness informed consent, whereby data collection protection norms are configured by the users themselves, using collaborative participatory...

10.1109/sasow.2015.5 article EN 2015-09-01

We present semantics-based mechanisms that aim to promote reflection on cultural heritage by means of dates (historical events or annual commemorations), owing their connections a collection items and the visitors’ interests. argue links specific can trigger curiosity, increase retention guide visitors around venue following new appealing narratives in subsequent visits. The proposal has been evaluated pilot study Archaeological Museum Tripoli (Greece), for which team humanities experts...

10.1177/0165551519871823 article EN Journal of Information Science 2019-09-06
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