TY - GEN
T1 - An AI approach to temporal indeterminacy in relational databases
AU - Anselma, Luca
AU - Piovesan, Luca
AU - Terenziani, Paolo
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2018.
PY - 2018
Y1 - 2018
N2 - Time is pervasive of the human way of approaching reality, so that it has been widely studied in many research areas, including Artificial Intelligence (AI) and relational Temporal Databases (TDB). Indeed, while thousands of TDB papers have been devoted to the treatment of determinate time, only few approaches have faced temporal indeterminacy (i.e., “don’t know exactly when” indeterminacy). In this paper, we propose a new AI-based methodology to approach temporal indeterminacy in relational DBs. We show that typical AI techniques, such as studying the semantics of the representation formalism, and adopting symbolic manipulation techniques based on such a semantics, are very important in the treatment of indeterminate time in relational databases.
AB - Time is pervasive of the human way of approaching reality, so that it has been widely studied in many research areas, including Artificial Intelligence (AI) and relational Temporal Databases (TDB). Indeed, while thousands of TDB papers have been devoted to the treatment of determinate time, only few approaches have faced temporal indeterminacy (i.e., “don’t know exactly when” indeterminacy). In this paper, we propose a new AI-based methodology to approach temporal indeterminacy in relational DBs. We show that typical AI techniques, such as studying the semantics of the representation formalism, and adopting symbolic manipulation techniques based on such a semantics, are very important in the treatment of indeterminate time in relational databases.
KW - Data representation and semantics
KW - Query semantics
KW - Symbolic manipulation
KW - Temporal data
UR - http://www.scopus.com/inward/record.url?scp=85057136660&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-03928-8_2
DO - 10.1007/978-3-030-03928-8_2
M3 - Conference contribution
AN - SCOPUS:85057136660
SN - 9783030039271
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 16
EP - 28
BT - Advances in Artificial Intelligence – IBERAMIA 2018 - 16th Ibero-American Conference on AI, Proceedings
A2 - Fermé, Eduardo
A2 - Simari, Guillermo R.
A2 - Gutiérrez Segura, Flabio
A2 - Rodríguez Melquiades, José Antonio
PB - Springer Verlag
T2 - 16th Ibero-American Conference on Artificial Intelligence, IBERAMIA 2018
Y2 - 13 November 2018 through 16 November 2018
ER -