Alberto Pepe (Harvard-Smithsonian Center for Astrophysics), Alyssa Goodman (Harvard-Smithsonian Center for Astrophysics), August Muench (Harvard-Smithsonian Center for Astrophysics)
Abstract
The ADS All-Sky Survey (ADSASS) is an ongoing effort aimed at turning the NASA Astrophysics Data System (ADS), widely known for its unrivaled value as a literature resource, into a data resource. In a nutshell, the ADSASS effort aims to “astrotag” the holdings of the ADS. Similar to “geotagging” for earth-based locations, “astrotagging” is the procedure by which literature and images are associated with information about related astronomical objects. The ADSASS consists of a data layer, usable by any astronomical program, which documents, links, and aggregates information about several astronomical data pointers: a) astronomical object references provided and curated by external databases; b) optical data, in the form of images extracted from ADS articles and calibrated astrometrically; c) non-optical data in the form of images extracted from articles for which enough metadata is available within the text or image caption to assign programmatically a position or a source name. In this article we introduce the ADSASS layer and we propose two services which will interoperate with existing archives and astronomical data viewers: 1) an all-sky literature heatmap showing what parts of the sky have been written about in the literature, for what reasons; and 2) an historical “data layer” offering literature-extracted images for analysis and/or overlay on contextual images. This project leverages current collaboration and enhance service and data interoperability between the ADS and astronomical object databases, such as CDS’ SIMBAD and NASA/IPAC’s NED.Paper ID: O23
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