@inproceedings{Ardissono:2017c,
author = {Ardissono, Liliana and Lucenteforte, Maurizio and Mauro, Noemi and Savoca, Adriano and Voghera, Angioletta and La Riccia, Luigi},
title = {OnToMap: Semantic Community Maps for Knowledge Sharing},
year = {2017},
isbn = {9781450347082},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url_Link = {https://iris.unito.it/retrieve/e27ce42b-e4af-2581-e053-d805fe0acbaa/ht-2017-per-www.pdf},
doi = {10.1145/3078714.3078747},
abstract = {We present the information retrieval model adopted in the OnToMap Participatory GIS. The model addresses the limitations of keyword-based and category-based search by semantically interpreting the information needs specified in free-text search queries. The model is based on an ontological representation of linguistic and encyclopaedic knowledge, which makes it possible to exploit terms and synonyms occurring in the definitions of concepts to flexibly match the user's and system's terminologies. This feature enables users to query the application using their own vocabulary.},
booktitle = {Proceedings of the 28th ACM Conference on Hypertext and Social Media},
pages = {317–318},
numpages = {2},
keywords = {ontologies, linked data, information search, participatory gis},
location = {Prague, Czech Republic},
series = {HT '17}
}

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