Semantic Similarities between Locations based on Ontology

SHERWANI, Moiz Khan, Petr SOJKA and Francesco CALIMERI. Semantic Similarities between Locations based on Ontology. In Aleš Horák, Pavel Rychlý, Adam Rambousek. Proceedings of the Eleventh Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2017. Brno: Tribun EU, 2017, p. 85-94. ISBN 978-80-263-1340-3.

Basic information

• Original name: Semantic Similarities between Locations based on Ontology
• Authors: SHERWANI, Moiz Khan (586 Pakistan, belonging to the institution), Petr SOJKA (203 Czech Republic, guarantor, belonging to the institution) and Francesco CALIMERI (380 Italy).
• Edition: Brno, Proceedings of the Eleventh Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2017, p. 85-94, 10 pp. 2017.
• Publisher: Tribun EU

Other information

• Original language: English
• Type of outcome: Proceedings paper
• Field of Study: 10201 Computer sciences, information science, bioinformatics
• Country of publisher: Czech Republic
• Confidentiality degree: is not subject to a state or trade secret
• Publication form: printed version "print"
• WWW: full paper Domovská stránka workshopu
• RIV identification code: RIV/00216224:14330/17:00094377
• Organization unit: Faculty of Informatics
• ISBN: 978-80-263-1340-3
• ISSN: 2336-4289
• UT WoS: 000426613500010
• Keywords (in Czech): zjednoznačnění toponym; geonames; vyhledávání geografických názvů v textu; ontologie geografických názvů; podobnost toponym
• Keywords in English: toponym disambiguation; geonames; geographic text retrieval; ontology based geoname relations; toponym similarity
• Tags: International impact, Reviewed

Abstract

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.

Links

• TD03000295, research and development project: Name: Inteligentní software pro sémantické hledání dokumentů (Acronym: ISSHD)

Investor: Technology Agency of the Czech Republic