Time is ubiquitous in information systems. Almost every enterprise faces the problem of its data becoming out of date. However, such data is often valu­ able, so it should be archived and some means to access it should be provided. Also, some data may be inherently historical, e. g., medical, cadastral, or ju­ dicial records. Temporal databases provide a uniform and systematic way of dealing with historical data. Many languages have been proposed for tem­ poral databases, among others temporal logic. Temporal logic combines ab­ stract, formal semantics with the amenability to efficient implementation. This chapter shows how temporal logic can be used in temporal database applica­ tions. Rather than presenting new results, we report on recent developments and survey the field in a systematic way using a unified formal framework [GHR94; Ch094]. The handbook [GHR94] is a comprehensive reference on mathematical foundations of temporal logic. In this chapter we study how temporal logic is used as a query and integrity constraint language. Consequently, model-theoretic notions, particularly for­ mula satisfaction, are of primary interest. Axiomatic systems and proof meth­ ods for temporal logic [GHR94] have found so far relatively few applications in the context of information systems. Moreover, one needs to bear in mind that for the standard linearly-ordered time domains temporal logic is not re­ cursively axiomatizable [GHR94]' so recursive axiomatizations are by necessity incomplete. | Logics for Databases and Information Systems by Jan Chomicki, Hardcover | Indigo Chapters