Job Board
Call for expression of interest for one (1) position, for one (1) Master’s degree holder in Language technologies
We seek one experienced scientist holding a Master degree in Language technologies with background in European and/or National ICT RTD projects. The candidate will participate in the R&D activities of FORTH-ICS in the context of the project SemantyFish (Funded by OSCARS 1st Open Call for Open Science Projects and Services). The candidate will work with the conceptual modelling and design and implementation of ontologies for the SemantyFish project.SemantyFish aims to enhance the visibility, interoperability, and exploitability of FishBase by transforming it into a semantic web knowledge base. By leveraging semantic web technologies, the project will enable seamless data exchange, complex queries, and integration with global research infrastructures, advancing its role in open science and interdisciplinary research. SemantyFish is an open science project funded under the OSCARS 1st Open Call for Open Science Projects and Services. SemantyFish aims to transform FishBase into a semantic web knowledge base using cutting-edge semantic web technologies. By structuring data with standard vocabularies and ontologies, the project will enhance data interoperability, making FishBase more discoverable and accessible for both humans and machines. This shift will allow seamless data exchange across domains and enable more complex and meaningful data queries. In addition, it will enable richer, more meaningful and complex data queries and analysis by relying on semantic relationships between entities. As a semantic web knowledge base, its contents can be queried using SPARQL. Furthermore, a dedicated API will be implemented as a versatile gateway for accessing the wealth of resources of the knowledge base in different formats and standards. Designed with REST principles, it will offer simplicity, scalability and interoperability, making it the ideal interface for developers, scientists and researchers.
Ημερομηνία Ανάρτησης: Καταληκτική Ημερομηνία: 25.11.2024
Ινστιτούτο: Ινστιτούτο Πληροφορικής