Applications of Voting Theory to Information Mashups

Authors:
Alfredo Alba;Varun Bhagwan;Julia Grace;Daniel Gruhl;Kevin Haas;Meenakshi Nagarajan;Jan Pieper;Christine Robson;Nachiketa Sahoo
Affiliations:
-;-;-;-;-;-;-;-;-
Venue:
ICSC '08 Proceedings of the 2008 IEEE International Conference on Semantic Computing
Year:
2008

Citing 0
Cited 8

A methodology for quality-based mashup of data sources

Proceedings of the 10th International Conference on Information Integration and Web-based Applications & Services
Towards collaborative web-based impact assessment

Proceedings of the 10th Annual International Conference on Digital Government Research: Social Networks: Making Connections between Citizens, Data and Government
Sound index: charts for the people, by the people

Communications of the ACM - The Status of the P versus NP Problem
Context and Domain Knowledge Enhanced Entity Spotting in Informal Text

ISWC '09 Proceedings of the 8th International Semantic Web Conference
Impact assessment in public policy: Towards a Web 2.0 application

Information Polity - Government 2.0: Making Connections between citizens, data and government
Multimodal social intelligence in a real-time dashboard system

The VLDB Journal — The International Journal on Very Large Data Bases
Information technology for healthcare transformation

IBM Journal of Research and Development
Voting theory for concept detection

ESWC'12 Proceedings of the 9th international conference on The Semantic Web: research and applications

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a novel model for social network analysis in which, rather than analyzing the quantity of relationships (co-authorships, business relations, friendship, etc.), we analyze their communicative content. Text mining and clustering techniques ...