{"paper":{"title":"Helping Computers Understand Geographically-Bound Activity Restrictions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"B. Hecht, J. Sch\\\"oning, M. Soll, P. Naumann, P. Samsonov","submitted_at":"2019-04-02T21:30:41Z","abstract_excerpt":"The lack of certain types of geographic data prevents the development of location-aware technologies in a number of important domains. One such type of \"unmapped\" geographic data is space usage rules (SURs), which are defined as geographically-bound activity restrictions (e.g. \"no dogs\", \"no smoking\", \"no fishing\", \"no skateboarding\"). Researchers in the area of human-computer interaction have recently begun to develop techniques for the automated mapping of SURs with the aim of supporting activity planning systems (e.g. one-touch \"Can I Smoke Here?\" apps, SUR-aware vacation planning tools). I"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.01673","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}