Name
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. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1145/3078714.3078747 | HT |
Keywords | Field | DocType |
Participatory GIS, Information search, Ontologies, Linked Data | Ontology (information science),Participatory GIS,Ontology,World Wide Web,Information needs,Knowledge sharing,Information retrieval,Computer science,Linked data,Exploit,Vocabulary | Conference |
Citations | PageRank | References |
5 | 0.49 | 2 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Liliana Ardissono | 1 | 1121 | 109.06 |
| M. Lucenteforte | 2 | 87 | 12.89 |
| Noemi Mauro | 3 | 45 | 13.38 |
| Adriano Savoca | 4 | 24 | 5.09 |
| Angioletta Voghera | 5 | 19 | 4.35 |
| Luigi La Riccia | 6 | 9 | 1.29 |