Name
Abstract | ||
|---|---|---|
In the last two decades data analytics applications have been studied fairly extensively in the general context of analyzing business data, interactions between people through social networks analysis, marketing trends and so on. The increasing ability to capture and handle geographic data means that spatial analysis is occurring within increasingly data-rich environments. Although GIS provide platforms for managing these data, many of this applications require the integration or the cooperation between multiple information systems in order to satisfy the users' needs with accurate, not-ambiguous and not-redundant information. In this paper we present a methodology for modeling a domain of interest through semantic Web technologies, and we show a method to query the produced domain model in order to retrieve pertinent information. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/978-3-319-49109-7_66 | ADVANCES ON P2P, PARALLEL, GRID, CLOUD AND INTERNET COMPUTING |
DocType | Volume | ISSN |
Conference | 1 | 2367-4512 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Flora Amato | 1 | 458 | 66.48 |
| Giovanni Cozzolino | 2 | 3 | 15.60 |
| Francesco Moscato | 3 | 298 | 32.28 |
| Vincenzo Moscato | 4 | 519 | 64.03 |
| Antonio Picariello | 5 | 858 | 87.40 |