Relevance of the research

The research and innovation of the project is divided into 5 main steps to ensure the quality and credibility of the conducted research and innovation activities among the consortium. The project main steps are structured in a product/service creation manner, i.e. the development of the Semantic EO Data Web Alert and Retrieval System (SEO-DWARS). This type of structure is selected in order to ensure the knowledge transfer and know-how among the consortium and turn creative ideas into innovative products/services. More analytically the following steps are defined:

  1. User Requirements and System Specifications.
  2. System Design based on the Shared Knowledge Domains.
  3. Collaborative Implementation of the System.
  4. System Calibration and Validation.
  5. Pilot Service and Verification.

During the first step of the project the user requirements and the specifications of the proposed system are defined.


The users of the SEO-DWARS are either universities/companies using EO data that need the semantic retrieval capabilities or public/private entities that need alerting on specific phenomena (e.g. presence of an oil spill in a NATURA region, water quality in swimming areas or offshore industrial platforms). The user requirements are mainly defined by the marine application domain partners (NTUA, UnAeg, CUT, PKH, i-Sea) in collaboration with the semantic oriented partners (UniBa and TWT), in order to bridge the gap between the Remote Sensing and Marine domain community with the Semantic and Linked Data community.


Based on these requirements, the specifications of the proposed system are drawn by the systemic partners (PKI, CloudSigma and PKH) in collaboration with the users (NTUA, UnAeg, CUT, PKH, i-Sea) and the semantic oriented partners (UniBa and TWT). This, in order to ensure the proper transition between “what we could do in theory” and “what we can do and how we do it under the framework of a system”.


The second step of the project, i.e. System Design based on the Shared Knowledge Domains, includes the design of the SEO-DWARS, based on the complementarity knowledge of the partners (Semantics [UniBa, TWT], Marine Remote Sensing [NTUA, UnAeg, CUT, PKH, i-Sea], Big Data Mining [CloudSigma], Data Fusion [PKI]) and the already in place infrastructure, that mainly the industrial partners bring to the project as added value. Here, all partners collaborate to design the SEO-DWARS in order to ensure that both scientific (research and innovation) and technical aspects are met.