Name
Abstract | ||
|---|---|---|
Properly modelling dynamic information that changes over time still is an open issue. Most modern knowledge bases are unable to represent relationships that are valid only during a given time interval. In this work, we revisit a previous extension to the hyperknowledge framework to deal with temporal facts and propose a temporal query language and engine. We validate our proposal by discussing a qualitative analysis of the modelling of a real-world use case in the Oil & Gas industry. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ICIS46139.2019.8940351 | 2019 IEEE/ACIS 18th International Conference on Computer and Information Science (ICIS) |
Keywords | Field | DocType |
Temporal reasoning,hyperknowledge,knowledge engineering,temporal relationships,temporal query language | Query language,Multimedia search,Information retrieval,Computer science,Knowledge engineering,Gas industry | Conference |
ISBN | Citations | PageRank |
978-1-7281-0802-5 | 0 | 0.34 |
References | Authors | |
8 | 11 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Moreno Marcio Ferreira | 1 | 0 | 0.34 |
| Santos Rodrigo Costa Mesquita | 2 | 0 | 0.34 |
| Santos Wallas Henrique Sousa dos | 3 | 0 | 0.34 |
| Fiorini Sandro Rama | 4 | 0 | 0.34 |
| Silva Reinaldo Mozart da Gama | 5 | 0 | 0.34 |
| Márcio Ferreira Moreno | 6 | 127 | 22.60 |
| Rodrigo Santos | 7 | 0 | 0.34 |
| Wallas Santos | 8 | 0 | 0.34 |
| Sandro Fiorini | 9 | 0 | 0.34 |
| Reinaldo Silva | 10 | 0 | 0.34 |
| Renato Cerqueira | 11 | 735 | 68.68 |