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ISPRS Int. J. Geo-Inf. 2018, 7(2), 62; doi:10.3390/ijgi7020062

A Smart Web-Based Geospatial Data Discovery System with Oceanographic Data as an Example

1
NSF Spatiotemporal Innovation Center and Department of Geography and GeoInformation Science, George Mason University, Fairfax, VA 22030, USA
2
NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA
*
Author to whom correspondence should be addressed.
Received: 15 January 2018 / Revised: 22 January 2018 / Accepted: 1 February 2018 / Published: 11 February 2018
(This article belongs to the Special Issue Web and Mobile GIS)
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Abstract

Discovering and accessing geospatial data presents a significant challenge for the Earth sciences community as massive amounts of data are being produced on a daily basis. In this article, we report a smart web-based geospatial data discovery system that mines and utilizes data relevancy from metadata user behavior. Specifically, (1) the system enables semantic query expansion and suggestion to assist users in finding more relevant data; (2) machine-learned ranking is utilized to provide the optimal search ranking based on a number of identified ranking features that can reflect users’ search preferences; (3) a hybrid recommendation module is designed to allow users to discover related data considering metadata attributes and user behavior; (4) an integrated graphic user interface design is developed to quickly and intuitively guide data consumers to the appropriate data resources. As a proof of concept, we focus on a well-defined domain-oceanography and use oceanographic data discovery as an example. Experiments and a search example show that the proposed system can improve the scientific community’s data search experience by providing query expansion, suggestion, better search ranking, and data recommendation via a user-friendly interface. View Full-Text
Keywords: knowledge base; semantic search; user behavior; metadata; search ranking; recommendation; big data knowledge base; semantic search; user behavior; metadata; search ranking; recommendation; big data
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Jiang, Y.; Li, Y.; Yang, C.; Hu, F.; Armstrong, E.M.; Huang, T.; Moroni, D.; McGibbney, L.J.; Greguska, F.; Finch, C.J. A Smart Web-Based Geospatial Data Discovery System with Oceanographic Data as an Example. ISPRS Int. J. Geo-Inf. 2018, 7, 62.

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