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Comparative Social Visualization for Personalized E-learning
D-WCPS: A Framework for Service Based Distributed Processing of Coverages
Effective Decision Support for Semantic Web Service Selection
MERCURY : User Centric Device & Service Processing
MERCURY: User Centric Device and Service Processing – Demo paper
Natural Language Processing for Semantic Assistance in Web Portals
Personalized Semantic Assistance for the Curation of Biochemical Literature
Rational Resource Allocation in Mass Casualty Incidents – Adaptivity and Efficiency
SciQL: A Query Language for Unified Scientific Data Processing and Managment
Scrutable Adaptivity in Community-Enabled Web Portals
Natural Language Processing for Semantic Assistance in Web Portals
Title: | Natural Language Processing for Semantic Assistance in Web Portals |
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Authors: | Fedor Bakalov, Bahar Sateli, René Witte, Marie-Jean Meurs, Birgitta König-Ries |
Source: | IEEE International Conference on Semantic Computing |
Place: | Palermo, Italy |
Date: | 2012-09-01 |
Type: | Conference Paper |
Abstract: |
Web portals are a major class of web-based content management systems. They can provide users with a single point of access to a multitude of content sources and applications. However, further analysis of content brokered through a portal is not supported by current portal systems, leaving it to their users to deal with information overload. We present the first work examining the integration of natural language processing into web portals to provide users with semantic assistance in analyzing and interpreting content. This integration is based on the portal standard JSR286 and open source NLP frameworks. Two application scenarios, news analysis and biocuration, highlight the feasibility and usefulness of our approach. |
File: | icsc12.pdf |