Spatio-Temporal Quality Issues for Local Search

Abstract

Geographic search is routinely used in many services and applications that exploit the availability of Web content which is related to a real world place, region or object. However, do you trust the location information? Who has not made the experience that the restaurant you went to has just moved to another part of the city or shut down? Local search returns located results, e.g., extracted entities located in a certain spot or area, but their quality can be difficult to judge.Compared to normal Web search, local Web search has additional inherent issues due to factors such as insufficient semantics, ambiguity of references, imprecise mapping, or unknown status of the real-world entities described in documents. We present selected issues and features of geospatial quality and credibility based on spatial, temporal, and topical indicators as an additional measurement of spatial relevance.