Toponym disambiguation or location names resolution is a critical task in unstructured text, articles or documents. Our research explores how to link ambiguous locations mentioned in documents, news and articles with latitude/longitude coordinates. We designed an evaluation system for toponym disambiguation based on annotated GEOCLEF data. We implemented a node-based approach taking population into account and a geographic distance-based approach. We have proposed new approach based on edges between the pairs of toponyms in ontology, taking also population attribute into account. Our edge-based approach gave better results than population and distance-based only approaches. The results could be used in any information system dealing with texts containing geographic locations, such as news texts.
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|Titolo:||Semantic Similarities between Locations based on Ontology|
SHERWANI, MOIZ KHAN (Corresponding)
|Data di pubblicazione:||2017|
|Appare nelle tipologie:||4.1 Contributo in Atti di convegno|