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A temporally enabled Spatial Data Infrastructure (SDI) is a framework of geospatial data, metadata, users, and tools intended to provide\udan efficient and flexible way to use spatial information which includes the historical dimension. One of the key software components\udof an SDI is the catalogue service which is needed to discover, query, and manage the metadata. A search engine is a software system\udcapable of supporting fast and reliable search, which may use any means necessary to get users to the resources they need quickly\udand efficiently. These techniques may include features such as full text search, natural language processing, weighted results, temporal\udsearch based on enrichment, visualization of patterns in distributions of results in time and space using temporal and spatial faceting,\udand many others. In this paper we will focus on the temporal aspects of search which include temporal enrichment using a time miner\ud- a software engine able to search for date components within a larger block of text, the storage of time ranges in the search engine,\udhandling historical dates, and the use of temporal histograms in the user interface to display the temporal distribution of search results

MAKING TEMPORAL SEARCH MORE CENTRAL IN SPATIAL DATA INFRASTRUCTURES