Proposal
Name:
FRICOC – A Framework
for Intelligent Content Creation
Subject:
The main
objective of this project is to develop a self- adaptive intelligent content
creation framework that uses context information and user's goals, preferences
and previous behavior. Similar systems generally use conventional mining
techniques. FRICOC project aims to provide semantically-rich and more precise
self-adaptable multi-lingual content by combining web mining and semantic web approaches.
Proposal
Outline:
Personal
consumption of adaptive, self-aware web page content is an important research
direction pointed by European Commission. There has been several works on
generating dynamic, personalized web content, however, there is still a large
room for improvements due to semantic web and more enhanced data mining
techniques. First of all, it is necessary to provide improvement in performance
in terms how well the content matches the user's goals. Secondly, the application
area is generally limited to certain e-commerce environments. We aim to extend
the available results in both of these directions,
both improve the performance and provide application on a different area.
In this
project, we plan to generate a framework that generates self-aware, adaptive
content for the users in a specific domain according to preference, goal and
behavior information. By this way, the users will be able to access to the most
relevant content and use the available information in the most effective way.
Keywords: self-aware, adaptive content,
personalization, multi-lingual, semantic web, web usage mining.
Required
skills and Expertise:
End user's
are sought for to provide log and web content data
Technology
providers (universities, research centers or SME's) are sought for to
contribute to ontology management.
Technology
providers (universities, research centers or SME's) are sought for to
contribute to multi-lingual content
Technology
providers (universities, research centers or SME's) are sought for to
contribute to processing of multimedia data.
Description
of work to be carried out by the partner(s) sought:
End users are
expected to provide data and deploy the developed software on their sites.
Technology
providers will clean/generate ontology for the web data, will generate
multi-lingual versions of the adaptive content and will semantically process
multimedia data in the web content.
Type of
partner(s) sought:
Universities,
research centers, SMEs
The
Proposer is looking for a Coordinator:
No
Organisation:
METU
Department:
Computer
Engineering Department, Intelligent Data Analysis Group (IDAG)
Type of
Organisation:
University
Country: