Published in

Proceedings of the 1st ACM international workshop on Multimedia analysis for ecological data - MAED '12

DOI: 10.1145/2390832.2390845

Links

Tools

Export citation

Search in Google Scholar

An Environmental Search Engine Based on Interactive Visual Classification

This paper is available in a repository.
This paper is available in a repository.

Full text: Download

Green circle
Preprint: archiving allowed
Green circle
Postprint: archiving allowed
Red circle
Published version: archiving forbidden
Data provided by SHERPA/RoMEO

Abstract

Environmental conditions play a very important role in hu-man life.Nowadays, environmental data and measurements are freely made available through dedicated web sites, ser-vices 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 ma-chine learning and advanced interactive visualization tech-niques. Our experiments and the evaluation show that in-teractive classification based on visualization improves the performance of the system.