Objective
In the BOOTStrep project, we aim at building reusable wide-coverage lexical and conceptual repositories for the biology domain. On the one hand, we want to exploit already existing terminological resources (thesauri, classification systems) and combine them within a common representation framework. On the other hand, the gaps we encounter shall be filled by automatically acquiring new terms and concepts from the vast amount of literature in the field. In addition, we extract information about the linguistic properties of biology terms, which is needed before applications such as text mining can deliver high quality results of real interest to users.
We shall define, implement and develop a lexicon, which covers lexical forms and their relevant linguistic information from the biology domain. Similar work will be carried out to arrive at an associated domain ontology. While still under development, the lexical resource can already be exploited to feed a sub language text analyser, which recognizes unknown terms, their attributes and semantic relations they have to other already known terms. This procedure leads to the incremental enhancement of the initial lexicon and of the initial domain ontology. Simultaneously, the text analyser finds concrete biological facts in the documents being processed, which are stored in a biological fact repository. Both the facts and the domain ontology form a comprehensive, continuously growing biological knowledge repository.
Such an environment bridges work on heterogeneous forms of biological terminologies, lexicons and ontologies. It is a major step towards increased semantic interoperability for all actors involved in the biology domain (scientists, clinicians, bio tech industry and business). To further ease access to the growing body of factual biological information we also supply a cross lingual query interface (for English, German, Italian and French). The project will deliver reusable large-scale resources and tools.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
07743 JENA
Germany
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.