Community Research and Development Information Service - CORDIS

FP7

Periodic Report - DIP3 (The 3Ps of distributed information delivery: Preferences, privacy and performance)

Project ID: 237524
Funded under: FP7-PEOPLE

Abstract

Today there is an abundance of data on line. The grand challenge is turning this huge amount of data to knowledge useful to the individual users of the Internet. DiP3 addresses this challenge by tackling one form of data processing, often referred to as ""push"" data delivery. In push data delivery, instead of explicitly searching for information, users get notified when relevant information becomes available. Examples of such systems include RSS feeds, news alerts and aggregators. The scientific objective of this project is to derive models, algorithms and techniques to control both the amount and quality of information received by users. To this end, we have incorporated user preferences in data delivery to rank data items based on their relevance to the users. Although preference specification has been extensively studied, there is little previous research work on incorporating preferences in Internet-scale data delivery. Furthermore, DIP3 exploits the inherent social connections between users in Web 2.0 as expressed through social networks, social tagging, and other community-based features to enhance preference specification and ranked information delivery.

New research results were attained in the context of database selection for XML document collections. The database selection problem is defined as follows. Given a set of databases and a user query, how to rank the databases based on their goodness to the query. Goodness is determined by the relevance of the documents in the collection with the query. The fellow cooperated on this issue with PhD students at Georgia Tech. The focus of this research is on keyword queries with Lowest Common Ancestor (LCA) semantics for defining query results, where the relevance of each document to a query is determined by properties of the LCA of those nodes in the XML document that contain the query keywords.

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Record Number: 10397 / Last updated on: 2011-08-08
Category: PROJ
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