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Knowledge Discovery in Data as Collaboration of Human and Software Actors

Objective

The KDD-CHASER project aims to develop a process model and software platform for collaborative knowledge discovery in data (KDD). Traditionally, KDD has been an expert-driven process, but more recently, special types of KDD processes have begun to emerge that involve non-expert individuals in various roles. With sufficiently intelligent software tools, it is even possible for such individuals to take charge of the process and use KDD to extract useful knowledge from their own personal data, but this possibility is not adequately covered by the established process model of KDD. The project addresses this problem by exploring the requirements of incorporating autonomous software and non-expert humans as actors in the KDD process and distilling these into a new process model, consisting of a data model and a workflow model, that satisfies the requirements.

The data model aims to provide a representation of the fundamental concepts of the KDD process, most importantly knowledge itself. The model forms an essential part of the foundation of new, more autonomous KDD software tools that are capable of carrying out tasks that currently require a human expert. The workflow model represents the actors of the KDD process - experts, non-experts and software - and the interactions through which they collaborate in different incarnations of the process. Once the models have been validated against their requirements, they will in turn be used to define requirements for a collaborative KDD software platform that can be used by diverse actors to establish teams and design solutions to KDD problems. Finally, the software platform will be implemented and validated by executing a test scenario involving knowledge discovery from personal lifelogs.

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.

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Programme(s)

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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.

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.

MSCA-IF-EF-ST - Standard EF

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-MSCA-IF-2016

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Coordinator

DUBLIN CITY UNIVERSITY
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 175 866,00
Address
Glasnevin
9 Dublin
Ireland

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Region
Ireland Eastern and Midland Dublin
Activity type
Higher or Secondary Education Establishments
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Total cost

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.

€ 175 866,00
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