short-paper

An environmental search engine based on interactive visual classification

Authors:

Stefanos Vrochidis,

Harald Bosch,

Anastasia Moumtzidou,

Florian Heimerl,

Thomas Ertl,

Ioannis KompatsiarisAuthors Info & Claims

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

Pages 49 - 52

https://doi.org/10.1145/2390832.2390845

Published: 02 November 2012 Publication History

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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.

References

[1]

C.-C. Chang and C.-J. Lin. LIBSVM: a library for support vector machines. ACM Trans. on Intelligent Systems and Technology, 2(3):27:1--27:27, 2011.

Digital Library

Google Scholar

[2]

J. Fogarty, D. Tan, A. Kapoor, and S. Winder. CueFlik: interactive concept learning in image search. In Proc. 26th Annual SIGCHI Conf. on Human Factors in Computing Systems, CHI '08, pages 29--38, New York, NY, USA, 2008. ACM.

Digital Library

Google Scholar

[3]

F. Heimerl, S. Koch, H. Bosch, and T. Ertl. Visual classifier training for text document retrieval. IEEE Transactions on Visualization and Computer Graphics (VisWeek 2012 Special Issue), 18(12), December 2012.

Google Scholar

[4]

R. Z. Kun Wu, Hai Jin and Q. Zhang. A vertical search engine based on visual and textual features. In Proceedings of the Edutainment '10, Changchum, China, August 16-18, 2010, pages 476--485. Springer-Verlag, 2010.

Digital Library

Google Scholar

[5]

H. P. Luong, S. Gauch, and Q. Wang. Ontology-based focused crawling. In Int. Conf. on Information, Process, and Knowledge Management, pages 123--128, 2009.

Digital Library

Google Scholar

[6]

F. V. Paulovich, L. G. Nonato, R. Minghim, and H. Levkowitz. Least square projection: A fast high-precision multidimensional projection technique and its application to document mapping. IEEE Trans. Vis. Comput. Graph., 14(3):564--575, 2008.

Digital Library

Google Scholar

[7]

E. Pianta and S. Tonelli. KX: A flexible system for keyphrase extraction. In Proc. of SemEval 2010, 2010.

Digital Library

Google Scholar

[8]

M. Steinbach, G. Karypis, and V. Kumar. A comparison of document clustering techniques. In In KDD Workshop on Text Mining, 2000.

Google Scholar

[9]

S. van den Elzen and J. van Wijk. BaobabView: Interactive construction and analysis of decision trees. In Proc. IEEE Conf. on Visual Analytics Science and Technology (VAST), 2011, pages 151--160, oct. 2011.

Crossref

Google Scholar

Cited By

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Johansson LEpitropou VKaratzas KKarppinen AWanner LVrochidis SBassoukos AKukkonen JKompatsiaris I(2018)Fusion of meteorological and air quality data extracted from the web for personalized environmental information servicesEnvironmental Modelling & Software10.1016/j.envsoft.2014.11.02164:C(143-155)Online publication date: 28-Dec-2018
https://dl.acm.org/doi/10.1016/j.envsoft.2014.11.021
Wanner LBosch HBouayad-Agha NCasamayor GErtl THilbring DJohansson LKaratzas KKarppinen AKompatsiaris IKoskentalo TMille SMoβgraber JMoumtzidou AMyllynen MPianta ERospocher MSerafini LTarvainen VTonelli SVrochidis S(2015)Getting the environmental information acrossExpert Systems: The Journal of Knowledge Engineering10.1111/exsy.1210032:3(405-432)Online publication date: 1-Jun-2015
https://dl.acm.org/doi/10.1111/exsy.12100
Wanner LRospocher MVrochidis SJohansson LBouayad-Agha NCasamayor GKarppinen AKompatsiaris IMille SMoumtzidou ASerafini L(2015)Ontology-centered environmental information delivery for personalized decision supportExpert Systems with Applications: An International Journal10.1016/j.eswa.2015.02.04842:12(5032-5046)Online publication date: 15-Jul-2015
https://dl.acm.org/doi/10.1016/j.eswa.2015.02.048
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An environmental search engine based on interactive visual classification

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Published In

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

November 2012

68 pages

ISBN:9781450315883

DOI:10.1145/2390832

General Chairs:
Concetto Spampinato
University of Catania, Italy
,
Vasileios Mezaris
CERTH-ITI, Greece
,
Jacco van Ossenbruggen
CWI, The Netherlands

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 November 2012

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MM '12

Sponsor:

SIGMM

MM '12: ACM Multimedia Conference

November 2, 2012

Nara, Japan

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Overall Acceptance Rate 13 of 23 submissions, 57%

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Cited By

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Johansson LEpitropou VKaratzas KKarppinen AWanner LVrochidis SBassoukos AKukkonen JKompatsiaris I(2018)Fusion of meteorological and air quality data extracted from the web for personalized environmental information servicesEnvironmental Modelling & Software10.1016/j.envsoft.2014.11.02164:C(143-155)Online publication date: 28-Dec-2018
https://dl.acm.org/doi/10.1016/j.envsoft.2014.11.021
Wanner LBosch HBouayad-Agha NCasamayor GErtl THilbring DJohansson LKaratzas KKarppinen AKompatsiaris IKoskentalo TMille SMoβgraber JMoumtzidou AMyllynen MPianta ERospocher MSerafini LTarvainen VTonelli SVrochidis S(2015)Getting the environmental information acrossExpert Systems: The Journal of Knowledge Engineering10.1111/exsy.1210032:3(405-432)Online publication date: 1-Jun-2015
https://dl.acm.org/doi/10.1111/exsy.12100
Wanner LRospocher MVrochidis SJohansson LBouayad-Agha NCasamayor GKarppinen AKompatsiaris IMille SMoumtzidou ASerafini L(2015)Ontology-centered environmental information delivery for personalized decision supportExpert Systems with Applications: An International Journal10.1016/j.eswa.2015.02.04842:12(5032-5046)Online publication date: 15-Jul-2015
https://dl.acm.org/doi/10.1016/j.eswa.2015.02.048
Moumtzidou AVrochidis SKompatsiaris I(2014)Discovery, Analysis, and Retrieval of Multimodal Environmental InformationEncyclopedia of Information Science and Technology, Third Edition10.4018/978-1-4666-5888-2.ch444(4528-4542)Online publication date: 31-Jul-2014
https://doi.org/10.4018/978-1-4666-5888-2.ch444
Spampinato CMezaris Vvan Ossenbruggen JBabaguchi NAizawa KSmith JSatoh SPlagemann THua XYan R(2012)Multimedia analysis for ecological dataProceedings of the 20th ACM international conference on Multimedia10.1145/2393347.2396540(1507-1508)Online publication date: 29-Oct-2012
https://dl.acm.org/doi/10.1145/2393347.2396540

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