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Content archived on 2024-06-18

Search Computing

Objective

"Who are the strongest European competitors on software ideas? Who is the best doctor to cure insomnia in a nearby hospital? Where can I attend an interesting conference in my field close to a sunny beach? This information is available on the Web, but no software system can accept such queries nor compute the answer. We hereby propose search computing as the new multi-disciplinary science which will provide the abstractions, foundations, methods, and tools required to answer these and many similar questions. The emerging paradigm of service computing has so far been neutral to the presence of search services, which are equal ""inter pares"". This proposal brings about a simple yet revolutionary idea: service computing evolves into search computing, a new paradigm where ranking is the dominant factor for composing services. While state-of-art search systems answer generic or domain-specific queries, search computing enables answering questions via a constellation of dynamically selected, cooperating search services. The idea is simple, yet pervasive. New foundational theories are needed, rooted into formal disciplines such as mathematics, statistics, and optimization theory. New language and description paradigms are required for expressing queries and for discovering services. New interfaces and protocols help capturing ranking preferences and enabling their refinement. Semantic domain knowledge helps enriching terminological knowledge about objects being searched. Ranking is always relative to individuals and context, thus the study of personal and social behaviour is also essential. Economical and legal implications of search computing must be understood and mastered. In summary, search computing is a multi-disciplinary effort which requires adding to sound software principles contributions from other sciences such as mathematics, operations research, psychology, sociology, knowledge representation, human-computer interfaces, economical and legal sciences."

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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.

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Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

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.

Call for proposal

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

ERC-2008-AdG
See other projects for this call

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.

ERC-AG - ERC Advanced Grant

Host institution

POLITECNICO DI MILANO
EU contribution
€ 2 500 000,00
Address
PIAZZA LEONARDO DA VINCI 32
20133 Milano
Italy

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Region
Nord-Ovest Lombardia Milano
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.

No data

Beneficiaries (1)

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