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Recent Projects

SEMAGROW - Data intensive techniques to boost the real-time performance of global agricultural data infrastructures

As the trend to open up data and provide them freely on the Internet intensifies, the opportunities to create added value by combining and cross-indexing heterogeneous data at a large scale increase. To seize these opportunities we need infrastructure that is not only efficient, real-time responsive and scalable but is also flexible and robust enough to welcome data in any schema and form and to transparently relegate and translate queries from a unifying end-point to the multitude of data services that make up the open data cloud.

Duration: 
01/11/2012 - 31/10/2015
Funding Body: 

EC ICT

Research topic: 

- Ontology Alignment
- Ontology Population
- Content Classification

SINTELNET: Network of Excellence for Social Intelligence

Exploring the interplay of Information Technologies, Philosophy, Humanities and the Social Sciences
FP7-ICT-2009-C Project No. 286380
SINTELNET URL: http://www.sintelnet.eu/

Duration: 
2011-2014
Objectives: 

Traditional distinctions between the natural, the social and the artificial are becoming more and more blurred as radically new forms of Information Technology-enabled social environments are formed. These changes create the need to re-explore basic concepts of Philosophy, Humanities and Social Sciences. The aim of the European Network for Social Intelligence is twofold:

To look into those IT-enabled domains as a means for the critical examination of those basic concepts and,
To propose new approaches to understand and develop future IT-enabled social situations, by adapting and applying traditio-nal concepts.

Type: 

EU Funded

Research topic: 

-Action and agency (WG1)
-Communicative interaction (WG2)
-Group attitudes (WG3)
-Socio-technical epistemology (WG4)
-Social coordination (WG5)

NOMAD (Policy Formulation and Validation through non moderated crowdsourcing)

The ability to leverage the vast amount of user-generated content for supporting governments in their political decisions requires new ICT tools that will be able to analyze and classify the opinions expressed on the informal Web, or stimulate responses, as well as to put data from sources as diverse as blogs, online opinion polls and government reports to an effective use.

Duration: 
2011-2014
Funding Body: 

Information and Communication Technologies (Seventh Framework), European Union

IRAKLEITOS II: Semantic Peer to Peer Networks

Duration: 
2010-2013
Objectives: 

The aim of this project is to investigate distributed reasoning and retrieval methods using ontology units in self-organized peer-to-peer systems.

Type: 

Funded by the Ministry of Education, in the context of ESPA.

Research topic: 

Distributed Reasoning and Retrieval using Ontologies

Agreement Technologies COST Action IC0801

Duration: 
2008-2012
Objectives: 

Agreement Technologies refer to computer systems in which autonomous software agents negotiate with one another, typically on behalf of humans, in order to come to mutually acceptable agreements. This Action aims at coordinating national efforts on a new paradigm for next generation distributed systems, based on the concept of agreement between computational agents. An entity may choose whether to fulfill an agreement or not, and it should fulfill it when there is an obligation to do so derived from the standing agreements. Autonomy, interaction, mobility and openness are the characteristics that the paradigm will cover from a theoretical and practical perspective. Semantic alignment, negotiation, argumentation, virtual organisations, learning, real time, and several other technologies will be in the sandbox to define, specify and verify such systems. Both functional and non-functional properties are to be studied. Security on execution will be based on trust and reputation measures. These measures will help agents to determine with whom to interact and what terms and conditions to accept.
Keywords: Agreement, Multiagent Systems, Semantics

Domain : Information and Communication Technologies
Action title : Agreement Technologies

Pythagoras: Dynamic Formation of Collaborative Agent Organizations

Duration: 
2004 - 2007
Objectives: 

Agent Organizations are complex entities composed of several agents that collaborate to achieve certain tasks. The Pythagoras project aims at developing new efficient methods for the formation and the collaborative operation of dynamic agent organizations. We propose to represent the formation process as a 3-step procedure consisting of the following steps: 1) creation of the organization's structure, 2) task/role allocation to the agents in the organization, 3) planning and acting by the agents. Since the agents that participate in an organization can be diverse, having different skills and resources, and also different personal goals, the processes of creating the organization's structure and allocating roles/tasks to agent can be heavily constrained and very complex. We intend to investigate distributed constraint-based reasoning techniques for the efficient implementation of these processes.

Achievements: 

GRID4ALL

Duration: 
2006-2009
Objectives: 

Grid4All aims to enable domestic users, non-profit organisations such as schools, and small enterprises, to share their resources and to access massive Grid resources when needed, envisioning a future in which access to resources is democratised, readily available, cooperative, and inexpensive. Grid4All goals entail a system pooling large amounts of cheap resources (connecting to commercial cluster providers when needed); a dynamic system satisfying spikes of demand; using self management techniques to scale and adapt to changes in environment; supporting isolated, secure, dynamic, geographically distributed user groups and using secure peer-to-peer techniques to federate large numbers of small-scale resources into large-scale Grids.

The technical issues addressed are aspects of security, support for multiple administrative and management authorities, self-management by combining the strong points of structured overlay P2P networks and that of component models, on-demand resource allocation, heterogeneity, and fault tolerance.

The proof of concept applications include: e-learning tools for collaborative editing in schools and a digital content processing service accessible by end residential users.

OntoSum: Ontology Management and Exploitation for text summarization

IIT DEMOKRITOS. EXODUS SA, UNIVERSITY OF THE AEGEAN, DARTMOUTH COLLEGE

Duration: 
2006 -2008
Objectives: 

The OntoSum project aims at developing new methods and techniques for - Ontology Learning - Ontology Coordination, Mapping and Ontology merging - Ontology-based Summarization. TheOntoSum methodology consists of the following steps - Specification of the theoretical framework - Development of methods and of a prototype system - Specification of the evaluation methodology - Exploitation and evaluation of the developed methods and system in two case studies: (a) in the context of the e-Centric EXODUS platform for document management, and (b) in biomedical applications that are being developed in DEVLAB of Dartmouth College. - Dissemination of results

datAcron: Big Data Analytics for Time Critical Mobility Forecasting

datAcron project is funded by the European Union’s Horizon 2020 Programme under grant agreement No. 687591.

datAcron is a research and innovation collaborative project targeting at introducing novel methods to detect threats and abnormal activity of very large numbers of moving entities in large geographic areas.

Duration: 
01/01/2016 - 31/12/2018
Objectives: 

datAcron addresses core challenges related to the European Big Data Vision towards increasing our abilities to acquire, integrate, process, analyze and visualize data-in-motion and data-at-rest.

The datAcron core challenges are as follows:

Distributed management and querying of integrated spatiotemporal RDF data-at-rest and data-in-motion in integrated manners.

Detection and prediction of trajectories of moving entities in the Aviation and Maritime Domains

Recognition and Forecasting of Complex Events in the Aviation and Maritime Domains

Visual Analytics in the Aviation and Maritime Domains

Funding Body: 

EU via the H2020 programme.

Research topic: 

Big Data, Very large RDF data management and integration, integration of cross-streaming and archival data, data analytics for the prediction of trajectories and events, visual analytics, datAcron big data architecture

AMINESS: ANALYSIS OF MARINE INFORMATION FOR ENVIRONMENTALLY SAFE SHIPPING

Duration: 
2012-2015
Objectives: 

The goal of the AMINESS project is to contribute in the safety, management and monitoring of the sea environment and the Aegean Sea in particular.
Reducing the possibility of ship accidents in the Aegean Sea is important to all economic, environmental, and cultural sectors of Greece. Oil spill cleanups can cost over 1 billion Euros, whereas accidents involving water soluble cargos would result in irrevocable changes to the Aegean ecosystem. Despite an increase in traffic, there are no national-level monitoring policies and ships formulate routes according to their best judgment. However, to reduce their own financial risk, shipping companies would directly benefit from a system that can reduce the possibility of an accident involving their own ship.
The project objective is the development of a web portal offering access to ship owners, policy makers and the scientific community. The portal will be used to (a) suggest vessel and environmentally optimal safe route planning (b) deliver real-time alerts for ships and (c) support policy recommendations. The portal will be based on historical and real-time maritime data, including real-time information for ship position and speed, weather and sea forecasting and land and sea location. Through this web-portal, the project aims directly to reduce the risk of a ship accident and consequently to contribute in the protection of the Aegean Sea. At the same time, the web-portal aims to bring profit to the enterprise partners of the project, mainly by proposing accident risk reducing services to ship owners. The research partners will be given a unique opportunity to advance their methodologies for handling and analysis of huge quantities of heterogeneous spatiotemporal streaming data to assess risk in real time. Any lessons learned from the analysis of the high risk ship traffic of the Aegean Sea are likely to have direct and immediate relevance to policy makers and stakeholders globally.

Type: 

συνχρηματοδοτούμενο έργο από εθνικούς πόρους

Funding Body: 

General Sectretariat of Research and Technology (GSRT) - Synergasia

Research topic: 

Knowledge Representation, Ontologies, OBDA, semantic integration