Using Temporal Logic and Datalog to Query Databases Evolving in Time

Using Temporal Logic and Datalog to Query Databases Evolving in Time

Alexander TuzhilinZvi M. Kedem

0 recensioni
Con la tua recensione raccogli punti Premium
Editore: Forgotten Books
Formato: PDF
Testo in en
Cloud: Scopri di più
Compatibilità: Tutti i dispositivi (eccetto Kindle) Scopri di più
Dimensioni: 1,37 MB
  • EAN: 9780243819164
pagabile con 18App pagabile con Carta del Docente
Articolo acquistabile con 18App e Carta del Docente

€ 5,85

Punti Premium: 6

Venduto e spedito da IBS

EBOOK INGLESE
Aggiungi al carrello
spinner
Fai un regalo
spinner

non è possibile acquistare ebook su dispositivi Apple. Puoi comunque aggiungerli alla wishlist

Gaia la libraia

Gaia la libraia Vuoi ricevere un'email sui tuoi prodotti preferiti? Chiedi a Gaia, la tua assistente personale

In this paper, we study a query language about databases evolving in (infinite) time. The syntax of the query language is based on a predicate temporal logic. The semantics of the language is defined with infinite sequences of database states, which in this paper are determined either by pure Datalog programs or by negated Datalog programs with inflationary semantics. In general, other mechanisms for defining the semantics, such as production systems, can be used. We analyze the relative expressive power of such a query language and the standard Datalog queries for both pure and negated Datalog programs. We show that our query language has more expressive power than Datalog queries for both pure and negated Datalog programs in general. However, we also prove a surprising technical result that the existential fragment of temporal logic has the same expressive power as Datalog queries for negated Datalog programs with inflationary semantics. This result implies the collapse of the existential fragment of temporal logic for such programs: any temporal logic formula from that fragment can be reduced to an equivalent formula with a single possibility operator.
Note legali