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An evidence-based approach for Toponym Disambiguation

2010 18th International Conference on Geoinformatics, 2010
Toponym Disambiguation (TD) in Geographic Information Retrieval (GIR) systems is a crucial technique, which makes a direct impact on the quality of subsequent assignment of geographic focus to a document and that of establishment of spatial index as well as the effectiveness of the entire retrieval model as a whole.
Yu Liu
exaly   +2 more sources

A conceptual density‐based approach for the disambiguation of toponyms

International Journal of Geographical Information Science, 2008
Nowadays, a huge quantity of information is stored in digital format. A great portion of this information is constituted by textual and unstructured documents, where geographical references are usually given by means of place names. A common problem with textual information retrieval is represented by polysemous words, that is, words can have more than
Davide Buscaldi
exaly   +2 more sources

Toponym Disambiguation Using Ontology-Based Semantic Similarity

Lecture Notes in Computer Science, 2012
We propose a new heuristic for toponym sense disambiguation, to be used when mapping toponyms in text to ontology concepts, using techniques based on semantic similarity measures. We evaluated the proposed approach using a collection of Portuguese news articles from which the geographic entity names were extracted and then manually mapped to concepts ...
Mario J Silva   +2 more
exaly   +2 more sources

Toponym disambiguation in online social network profiles

Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2015
In online social networks individuals are given the option to reveal on their online profiles some personal information about themselves including, among others, their home location that, if specified, is typically referred to with a toponym. A toponym disclosed by an individual on her profile, or self-reported toponym (e.g., "London"), is often ...
Mohammad Ghufran   +2 more
exaly   +2 more sources

A Classification Model with Corpus Enrichment for Toponym Disambiguation

Lecture Notes in Computer Science, 2012
This paper presents a method based on information retrieval to enrich corpus using bootstrapping techniques. A supervised corpus manually validated is provided, and then snippets are obtained from Web in order to increase the size of the initial corpus. Although this technique has already been reported in the literature, the main objective of this work
Rafael Guzman Cabrera   +1 more
exaly   +2 more sources

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