Results 71 to 80 of about 18,552 (91)
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, Xing Lin
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Toponym Disambiguation by Arborescent Relationships [PDF]
Journal of Computer Science, 2010 Problem statement: The way of referring to a place in the geographical space can be formal, based on the spatial coordinates, or informal, which we use in natural language by using toponyms (place names). A toponym can represent several geographical places. This ambiguity made problematic its conversion towards a unique formal representation.
Mohamed-Khireddine Kholladi
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A Conceptual Density‐Based Approach for the Disambiguation of Toponyms
International Journal of Geographical Information Science, 2008Nowadays, 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
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Toponym Disambiguation Using Ontology-Based Semantic Similarity
Lecture Notes in Computer Science, 2012We 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 ...
Mário J. Silva +2 more
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A Supervised Machine Learning Approach to Toponym Disambiguation
Advanced Information and Knowledge Processing, 2007By Professor Linlin Ge, You-Heng Hu
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Toponym Disambiguation in Online Social Network Profiles
Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2015In 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 ...
Gianluca Quercini
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Construction of a Japanese Gazetteers for Japanese Local Toponym Disambiguation
Proceedings of the 7th Workshop on Geographic Information Retrieval, 2013When processing toponym information in natural language text, it is crucial to have a good gazetteers. There are several well-organized gazetteers for English text, but they do not cover Japanese local toponyms. In this paper, we introduce a Japanese gazetteers based on Open Data (e.g., the Toponym database distributed by Japanese ministries, Wikipedia,
Masaharu Yoshioka
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Map-Based vs. Knowledge-Based Toponym Disambiguation
Proceedings of the 5th Workshop on Geographic Information Retrieval, 2008Toponym Disambiguation, i.e. the task of assigning to place name their correct reference in the world, is getting more attention from many researchers. Many methods have been proposed since now, making use of different resources, techniques and sense inventories.
Paolo Rosso, Davide Buscaldi
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Using Event Semantics for Toponym Disambiguation
2012This chapter discusses a method for improving the disambiguation of location names using limited event semantics. Location names are often ambiguous, as the same name may refer to locations in different states, countries, or continents. Ambiguous location names, also known as toponyms, need to be disambiguated (or grounded) when resolving many spatial ...
Kirk Roberts +2 more
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A Classification Model with Corpus Enrichment for Toponym Disambiguation
2012This 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
Belém Priego Sánchez +4 more
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