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Geo Data Annotator: a Web Framework for Collaborative Annotation of Geographical Datasets

Published: 18 May 2015 Publication History

Abstract

In this paper we illustrate the Geo Data Annotator (GDA), a framework which helps a user to build a ground-truth dataset, starting from two separate geographical datasets. GDA exploits two kinds of indices to ease the task of manual annotation: geographical-based and string-based. GDA provides also a mechanism to evaluate the quality of the built ground-truth dataset. This is achieved through a collaborative platform, which allows many users to work to the same project. The quality evaluation is based on annotator agreement, which exploits the Fleiss' kappa statistic.

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P. Christen. Data Matching: Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection. Data Centric Systems and Applications. Springer-Verlag, Berlin, 2012.
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Cresci, S. and D'Errico, A. and Gazzè, D. and Lo Duca, A. and Marchetti, A. and Tesconi, M. . Towards a DBpedia of Tourism: the case of Tourpedia. In Proceedings of the 2014 International Conference on Semantic Web - Poster and Demo Track, ISWC2014, pages 129--132, 2014.
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N. Dalvi, M. Olteanu, M. Raghavan, and P. Bohannon. Deduplicating a places database. In Proceedings of the 23rd international conference on World wide web, pages 409--418. International World Wide Web Conferences Steering Committee, 2014.
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A. K. Elmagarmid, P. G. Ipeirotis, and V. S. Verykios. Duplicate record detection: A survey. Knowledge and Data Engineering, IEEE Transactions on, 19(1):1--16, 2007.
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K. L. Gwet. Handbook of Inter-Rater Reliability: The Definitive Guide to Measuring the Extent of Agreement Among Multiple Raters. Advanced Analytics Press, 2012.
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Cited By

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  • (2023)A Taxonomy of Methods, Tools, and Approaches for Enabling Collaborative AnnotationProceedings of the XXII Brazilian Symposium on Human Factors in Computing Systems10.1145/3638067.3638074(1-12)Online publication date: 16-Oct-2023
  • (2016)Towards a General Architecture for Social Media Data Capture from a Multi-Domain Perspective2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA)10.1109/AINA.2016.75(1093-1100)Online publication date: Mar-2016

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Information

Published In

cover image ACM Other conferences
WWW '15 Companion: Proceedings of the 24th International Conference on World Wide Web
May 2015
1602 pages
ISBN:9781450334730
DOI:10.1145/2740908
Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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  • IW3C2: International World Wide Web Conference Committee

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 May 2015

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Author Tags

  1. data matching
  2. ground-truth
  3. manual annotation
  4. web application

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WWW '15
Sponsor:
  • IW3C2

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Cited By

View all
  • (2023)A Taxonomy of Methods, Tools, and Approaches for Enabling Collaborative AnnotationProceedings of the XXII Brazilian Symposium on Human Factors in Computing Systems10.1145/3638067.3638074(1-12)Online publication date: 16-Oct-2023
  • (2016)Towards a General Architecture for Social Media Data Capture from a Multi-Domain Perspective2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA)10.1109/AINA.2016.75(1093-1100)Online publication date: Mar-2016

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