Objective
From its beginnings as a means to share scientific data, the Web is evolving to capture parts of daily life for millions of users. A large amount of user-generated content on a number of topics, people and their connections to other people and content are placed on-line daily. Within this new ecosystem there are two important new trends that bring a paradigm shift to how information is searched and accessed on the Web. First, users are increasingly using the Web to accomplish complex information searching tasks that may involve other users: e.g. the purchase of a house, or planning a vacation. When working towards such tasks, users oftentimes have the (currently unmet) need to coordinate, collaborate, and consult with other users. The second trend is the growing use and availability of social media data. Such data, is often structured and contains information such as reviews, rankings, trust scores, etc. which can be linked together into some form of Social Network (SN), based on friendship-links and user interactions. Such data can be particularly useful for tailoring the search results to the interests of a given user and for identifying users that are knowledgeable and potentially helpful around a given topic. We propose to investigate how Social Networks can improve the daily life of users while searching and accessing information on the Web. We will organize our research around the following thrusts. a) SN Data Management: How can we efficiently manage the constantly evolving social Web data? b) Social Searches: How can we enable users to save and share their Web searches with other users? c) Socially-Aware Results: How should we take into account a user's Social Network during Web searches? d) Social Trust: How can we tell which user is trustworthy and knowledgeable on a given topic? As part of our proposal we will build a Web application showcasing our findings.
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.
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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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.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-PEOPLE-2009-RG
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.
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
10 561 ATHINA
Greece
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.