Ontology and Linked Data as Indicators for Voice Query Success-application for Digital Libraries

Roux, J. & Weideman M.

Poster in Proceedings of the 18th International Symposium on Electronic Theses and Dissertations - Genre of ETDs for Knowledge Discovery. 4-6 November. New Delhi, India.

Roux, J. & Weideman M. 2015. Ontology and Linked Data as Indicators for Voice Query Success-application for Digital Libraries. Poster in Proceedings of the 18th International Symposium on Electronic Theses and Dissertations - Genre of ETDs for Knowledge Discovery. 4-6 November. New Delhi, India. Online: http://web-visibility.co.za/website-visibility-digital-library-seo/

ABSTRACT
Mobile Internet usage and penetration continue to rise. Global mobile Internet penetration is forecast to increase to 71% in 2019. Mobile voice queries more than doubled in 2014, and this trend is expected to continue in the future. The Semantic Web provides common formats for integrating and combining data and also provides ontologies for recording how the data relates to real world objects. Google's new "Hummingbird" algorithm will improve semantic search success using voice queries by focusing on user intent and contextual relevance. Authority, relevance and structured data are fundamental indicators for search success. Two new Semantic Web technologies were recently accepted by the W3C as recommended standards. The objective of this research is to study the effect of these new technologies, the Schema.org ontology and JSON-LD as indicators for search success using voice queries on library webpages. A total of 1000 webpages without any intentional data structuring of content will be developed for this study. Voice queries for content on these web pages will be performed, to determine search success. Thereafter the data on each of the 1000 webpages will be structured with JSON-LD using the Schema.org ontology and the same voice queries will be repeated. The results of the experiments will be compared to establish if structuring data with JSON-LD using the Schema.org ontology contributed to search success. Findings of previous research confirm the positive effect of data structuring on search success. This study anticipates that search success using voice queries will significantly improve when data on library webpages are structured with JSON-LD using the Schema.org ontology.
REFERENCES
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  3. Mitchell, E. T. (2013). Building Blocks of Linked Open Data in Libraries. Library Technology Reports, 49(5), 11-25.
  4. Mitchell, E. T. (2013). Library Linked data: research and adoption. American Library Association.
Full text of Conference Poster No 0170: Ontology and Linked Data as Indicators for Voice Query Success-application for Digital Libraries

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