By Yong Tang, Xiaoping Ye, Na Tang
Temporal info Processing expertise and Its purposes systematically reviews temporal details processing know-how and its purposes. The booklet covers following matters: 1) time version, calculus and good judgment; 2) temporal info types, semantics of temporal variable ‘now’ temporal database suggestions; three) temporal question language, a standard temporal database administration approach: TempDB; four) temporal extension on XML, workflow and information base; and, five) implementation styles of temporal functions, a standard instance of temporal software. The e-book is meant for researchers, practitioners and graduate scholars of databases, data/knowledge administration and temporal info processing. Dr. Yong Tang is a professor on the machine college, South China common collage, China.
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Additional info for Temporal Information Processing Technology and Its Applications
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3 (First-Order Temporal Logic Based Snapshot) (Chomicki and Saake 1998) Let : be a finite set of temporal connectives. F where r U and Z :. 27 Temporal Information Processing Technology and Its Applications Let us show how various temporal connectives are used to formulate the queries using an example. 1 A communication company wants to query the working status of its employees. 1b. 2 Temporal Extensions Based Timestamp Model While snapshot model encapsulates temporalities, timestamp method uses mapping.
Temporal data models are usually the extensions of traditional relational databases and traditional relational databases are regarded as their special cases. The main approaches of the extensions include adding a calculus, such as AFTER, BEFORE and OVERLAP to TDB, or expanding regular operations to temporal operations, such as temporal selection, temporal projection and temporal connections. More than two-dozen temporal data models were proposed, including several well-known data models. For example, Ariav proposed a temporally oriented data model (Ariav 1986) with the temporal isomorphism assumption, in which there is a tight correspondence between the database and the temporally concurrent reality.
Many languages have been proposed for temporal databases, such as temporal logic. Temporal logic combines abstract, formal semantics with the amenability to efficient implementation. However, axiomatic systems and proof methods for temporal logic have so far found relatively few applications in the context of database (Gabbay et al. 1994). Moreover, one needs to bear in mind that for the standard linearly-ordered time domains, temporal logic is not recursively axiomatizable, so recursive axiomatizations are by necessity incomplete (Chomicki and Saake 1998).