Modelling vague places with knowledge from the Web

TLDR

Place names are frequently used to describe geographic information, yet many vernacular names have vague spatial extents that are not represented in standard gazetteers. The study aims to enrich gazetteers with knowledge of vague places to improve place name‑based information retrieval. The authors model vague places by harvesting knowledge from Web pages, evaluate the approach on precise and vague places, and demonstrate its use in an experimental geographical search engine. They found that vague place names are frequently accompanied by precise co‑located place names, and that density‑surface modelling of their co‑occurrence effectively captures uncertainty while enabling approximate crisp boundaries.

Abstract

Place names are often used to describe and to enquire about geographical information. It is common for users to employ vernacular names that have vague spatial extent and which do not correspond to the official and administrative place name terminology recorded within typical gazetteers. There is a need therefore to enrich gazetteers with knowledge of such vague places and hence improve the quality of place name‐based information retrieval. Here we describe a method for modelling vague places using knowledge harvested from Web pages. It is found that vague place names are frequently accompanied in text by the names of more precise co‐located places that lie within the extent of the target vague place. Density surface modelling of the frequency of co‐occurrence of such names provides an effective method of representing the inherent uncertainty of the extent of the vague place while also enabling approximate crisp boundaries to be derived from contours if required. The method is evaluated using both precise and vague places. The use of the resulting approximate boundaries is demonstrated using an experimental geographical search engine.