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Improving Accessibility through Semantic Crowdsourcing

Published: 01 December 2016 Publication History

Abstract

Mainstream crowdsourcing applications for rating the accessibility of places are usually very limited in scope as only a small number of people are willing to participate, mostly the ones already interested in consuming this kind of information. We propose an extension of the schema.org ontology as a new crowdsourcing approach for engaging and motivating a larger population to participate in evaluating the accessibility of a place. An architecture of the proposed model is presented and its details are discussed. This extension has the potential to drastically improve the accessibility evaluation paradigm, as it has advantages not only for the persons who consume the data, but as well to those who describe the accessibility features of a place, especially business owners.

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cover image ACM Other conferences
DSAI '16: Proceedings of the 7th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion
December 2016
440 pages
ISBN:9781450347488
DOI:10.1145/3019943
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: 01 December 2016

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Author Tags

  1. Crowdsourcing
  2. accessibility
  3. ontology
  4. schema.org
  5. semantic markup

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DSAI 2016

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Overall Acceptance Rate 17 of 23 submissions, 74%

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