Paper Info
Title
An environmental search engine based on interactive visual classification
Abstract
Environmental conditions play a very important role in human life. Nowadays, environmental data and measurements are freely made available through dedicated web sites, services and portals. This work deals with the problem of discovering such web resources by proposing an interactive domain-specific search engine, which is built on top of a general purpose search engine, employing supervised machine learning and advanced interactive visualization techniques. Our experiments and the evaluation show that interactive classification based on visualization improves the performance of the system.
Year
DOI
Venue
2012
10.1145/2390832.2390845
MAED@ACM Multimedia
Keywords
Field
DocType
evaluation show,interactive visual classification,human life,web resource,dedicated web site,interactive domain-specific search engine,interactive classification,environmental data,environmental condition,general purpose search engine,environmental search engine,interactive visualization technique,classification,interaction,environmental,search engine,visualization
Web resource,World Wide Web,Search engine,Information retrieval,General purpose,Visualization,Computer science,Database search engine,Interactive visualization,Environmental data,Search analytics,Multimedia
Conference
Citations 
PageRank 
References 
4
0.44
7
Authors
6
Name
Order
Citations
PageRank
Stefanos Vrochidis126373.19
Harald Bosch236119.16
Anastasia Moumtzidou313125.30
Florian Heimerl425215.26
Thomas Ertl54417401.52
Ioannis Kompatsiaris61404197.36