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Making Temporal Search More Central in Spatial Data Infrastructures

A temporally enabled Spatial Data Infrastructure (SDI) is a framework of geospatial data, metadata, users, and tools intended to provide an efficient and flexible way to use spatial information which includes the historical dimension. A search engine is a software systemcapable of supporting fast and reliable search, which may use any means necessary to get users to the resources they need quicklyand efficiently. New search techniques proposed to be included within an SDI, include features such as full text search, natural language processing, weighted results, temporal search based on enrichment, visualization of patterns in distributions of results in time and space using temporal and spatial faceting, and many others. In this paper we will focus on the temporal aspects of search which include temporal enrichment using a time miner (parser able to search for date components within a larger block of text), the storage of time ranges in the search engine, handling historical dates, and the use of temporal histograms in the user interface to display the temporal distribution of search results.

Publication Date  August, 2017
Author(s)  Paolo Corti, Ben Lewis
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume IV-4/W2, 2017 2nd International Symposium on Spatiotemporal Computing 2017
Publication type  Articles