Community Research and Development Information Service - CORDIS

H2020

BEST Report Summary

Project ID: 699298
Funded under: H2020-EU.3.4.7.1

Periodic Reporting for period 1 - BEST (Achieving the BEnefits of SWIM by making smart use of Semantic Technologies)

Reporting period: 2016-06-01 to 2016-11-30

Summary of the context and overall objectives of the project

BEST will experiment with and evaluate the use of semantic technologies in several realistic ATM use cases. Semantic technologies are advanced tools and techniques enabling flexible information management, including information extraction and integration from multiple sources (more details provided in section 4 below). The aim is to support the new paradigm for ATM information management envisioned by SWIM. The project will use practical experience gained in the project to produce guidelines for practitioners about how these technologies can be used in innovative yet scalable ways in order to support the mission of SWIM.

BEST envisages use of multiple modular ontologies. Ontologies are an essential component in semantic technologies, providing a way to define information and relationships in a formal, ”mathematical” way (more details provided in section 4 below). Concepts expressed using ontologies represent metadata describing data sought and made available according to the SWIM approach. The metadata will then be used by other semantic applications developed in the project to support identification, aggregation and distribution of relevant ATM information.

We believe that this will maximise flexibility and applicability to specific application scenarios, but it has to be performed within a framework where compliance with the wider requirements of SWIM and the SESAR AIRM (details on this below) can be assured. This involves both technical compliance testing and governance aspects.

While BEST is primarily a research-oriented project, it is also designed to ensure relevance to and suitability for ATM operations, through project activities and the involvement of a Reference Group of key stakeholders.

Work performed from the beginning of the project to the end of the period covered by the report and main results achieved so far

"The early technical work has been focused around establishing an ontological infrastructure composed of ontology modules that will be utilised by the solutions developed in the project. The transformation from AIRM to such ontology modules is accomplished using a set of transformation rules defined within the project.

These rules ensure that the semantics expressed in the AIRM data model (represented in UML) are preserved in the resulting OWL ontology modules. The ontological infrastructure is a result that goes beyond the BEST project, and will be publicly available alongside guidelines and tutorials describing how it can be applied together with semantic technologies in other settings.

Work has also commenced on development of illustrative ""use cases"".

Progress beyond the state of the art and expected potential impact (including the socio-economic impact and the wider societal implications of the project so far)

At this early stage in the project technical work is just beginning, and the progress beyond the state of the art expected by the end of the project has not yet been achieved.

For the longer-term, the benefits of BEST can be summarised as follows:

Semantic technologies provide the means to describe, organise and retrieve relevant ATM data according to the actual needs of the end-user. This is accomplished by expressive and machine-readable links between metadata concepts (used for describing the actual ATM data) in ontologies, employing these links when organising the concepts in the knowledge base, and consequently supporting the end-user information need by returning data from semantic queries utilising the associations in the knowledge base.

While the communicated data itself will be expressed using standardized exchange data models (such as AIXM, FIXM, iWXXM), the data describing the data (the metadata) is defined according to one coherent vocabulary, represented by the AIRM ontology modules developed in BEST. Thus, the semantic applications do not interfere with the standardised exchange data models.

The BEST decentralized knowledge base, which applies the metadata concepts of the AIRM ontology modules, includes a set of mechanisms that filter and retrieve the available data with respect to relevance and appropriate data distribution strategies. In combination with the concepts expressed in the AIRM ontology modules, the knowledge base
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