A5002650357- Semantic Web and Ontologies
- Advanced Computational Techniques and Applications
- Service-Oriented Architecture and Web Services
- Biomedical Text Mining and Ontologies
- Superconducting Materials and Applications
- Archaeological Research and Protection
- Business Process Modeling and Analysis
- Environmental DNA in Biodiversity Studies
- Innovative Teaching and Learning Methods
- Scientific Computing and Data Management
- Natural Language Processing Techniques
- Multi-Agent Systems and Negotiation
- Advanced Sensor Technologies Research
- 3D Surveying and Cultural Heritage
- Research Data Management Practices
- Collaboration in agile enterprises
- Knowledge Management and Sharing
- Data Quality and Management
- Big Data and Business Intelligence
- Environmental Monitoring and Data Management
- Open Education and E-Learning
- AI-based Problem Solving and Planning
- Scientific Measurement and Uncertainty Evaluation
- Cyclone Separators and Fluid Dynamics
- Remote Sensing and LiDAR Applications
Foundation for Research and Technology Hellas
2013-2024
FORTH Institute of Computer Science
2022-2023
FORTH Institute of Electronic Structure and Laser
2011-2019
Centre National de la Recherche Scientifique
2012
University of Bergen
2012
University of Nottingham
2012
UCSI University
2012
Pontificia Universidad Católica de Chile
2012
Istituto per le Tecnologie Didattiche
2012
RCVS Knowledge
2012
Modeling human argumentation should shed light on how knowledge described in information systems could be better accessed, structured, and used for real life research purposes. Current models are either not analytical enough or restricted to formal logic. For that purpose, we seek a model of which reasoning may only consist falsification verification but more generally strengthening weakening hypotheses, way connect this an ontology the domain discourse. We have studied examples factual...
We describe the construction and use of SeaLiT Ontology, an extension ISO standard CIDOC-CRM for modelling integration maritime history information. The ontology has been developed gradually, following a bottom-up approach that required analysis large amounts real primary data (archival material) as well knowledge validation by domain experts (maritime historians). present specification ontology, RDFS OWL implementations, graphs make this model integrating information originating from...
Purpose The purpose of this paper is to boost multidisciplinary research by the building an integrated catalogue or assets metadata. Such should enable researchers solve problems analyse phenomena that require a view across several scientific domains. Design/methodology/approach There are two main approaches for integrating metadata catalogues provided different e-science infrastructures (e-RIs): centralised and distributed. authors decided implement central describes, provides access...
Abstract This document describes the steps that required for creating and maintaining an ontology; exploiting ontology in order to describe data from one or more sources; developing services applications provide unified access insightful analysis on data. The provides state of art various tools software components exist can be used carrying out tasks overall process. are grouped based their intended use each them a concise description, as well other useful details (i.e. if they open‐source,...
Abstract This report proposes a governance model for managing the activities involving ontologies at EFSA. It contains recommendations about (a) scoping of ontology development EFSA (purpose and subject matter), (b) external internal consistency interoperability, (c) maintenance evolution, (d) access policies, (e) IT considerations (aligned with Deliverable D4), (f) outsourcing strategy, (g) training needs related to ontologies. The proposed is aligned existing EFSA, such as Rebuild DF....
Abstract Ontologies define the main concepts and relations of a domain can play role common language between experts, software developers computer systems, allowing for easier more comprehensive data management. provide structure context data, enabling better analysis decision‐making. be leveraged improving various Machine Learning‐based tasks (they used accuracy consistency training we combine ML‐based predictions with ontology‐based reasoning). are key components achieving semantic...
Descriptive and empirical sciences, such as History, are the sciences that collect, observe describe phenomena in order to explain them draw interpretative conclusions about influences, driving forces impacts under given circumstances. Spreadsheet software relational database management systems still dominant tools for quantitative analysis overall data these allowing researchers directly analyse gathered perform scholarly interpretation. However, this current practice has a set of...
We describe the construction and use of SeaLiT Ontology, an extension ISO standard CIDOC-CRM for modelling integration maritime history information. The ontology has been developed gradually, following a bottom-up approach that required analysis large amounts real primary data (archival material) as well knowledge validation by domain experts (maritime historians). present specification ontology, RDFS OWL implementations, graphs make this model integrating information originating from...