ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W2, 93-95, 2017
https://doi.org/10.5194/isprs-annals-IV-4-W2-93-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
 
19 Oct 2017
MAKING TEMPORAL SEARCH MORE CENTRAL IN SPATIAL DATA INFRASTRUCTURES
P. Corti and B. Lewis Center for Geographic Analysis, Harvard University, Cambridge MA, USA
Keywords: data discovery, geoportal, metadata, search engine, Spatial Data Infrastructure, SDI, spatio-temporal, WorldMap Abstract. 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. One of the key software components of an SDI is the catalogue service which is needed to discover, query, and manage the metadata. A search engine is a software system capable of supporting fast and reliable search, which may use any means necessary to get users to the resources they need quickly and efficiently. These techniques may 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 - a software engine 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.
Conference paper (PDF, 2861 KB)


Citation: Corti, P. and Lewis, B.: MAKING TEMPORAL SEARCH MORE CENTRAL IN SPATIAL DATA INFRASTRUCTURES, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W2, 93-95, https://doi.org/10.5194/isprs-annals-IV-4-W2-93-2017, 2017.

BibTeX EndNote Reference Manager XML