By Holger Herbst
This ebook relies on a PhD dissertation which used to be authorised by way of the college of legislations and Economics on the collage of Bern, Switzerland. the guidelines offered have been partly constructed in a study undertaking based via the Swiss nationwide Sci ence starting place in 1993 and 1994. This study undertaking was once involved in comparing the applying of database triggers and energetic databases for the im plementation of commercial ideas. We well-known between different issues the shortcoming of a technique for modeling such enterprise principles at the conceptual point. for this reason, this turned the focal point of the follow-up examine which ended in this ebook. All this paintings shouldn't have been attainable with out the aid of a number of humans. firstly, i need to offer certain due to my thesis manager Prof. Dr. Gerhard Knolmayer. He not just initiated the study venture and located an in dustry companion, but additionally supplied very important rules, and severely reviewed and mentioned the ensuing guides. additionally, i need to precise my because of the second one thesis manager Prof. Dr. Sham Navathe from Georgia In stitute of know-how who motivated my paintings with effects from a former re seek undertaking and who agreed to judge the ensuing PhD Dissertation.
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One problem in using ECA rules is the semantic distinction between event and condition. In certain cases, the assignment of a fact to either the event or the condition may be ambiguous. m. m. m. m. '130. This ambiguity may be circumvented by using different subtypes ofECA rules 131: • Condition-Action rules represent the AI approach to active rules (cf. Figure 2-1) and do not have an event component; therefore, they are triggered by a pattern matching in the database and an event like the one specified above would entirely become part of the condition.
146 Cf. Gatziu (1994), p. 46. 147 Cf. Gatziu (1994), pp. 46. 2 Implementation of Rules in Information Systems Composite Events Composite events in SAMOSI48 are divided in two groups, the first group encompasses event constructors with arity 2 (binary constructors which involve two other events) and the second group those with arity 1 (unary constructors which involve a single event). • • Binary constructors of SAMOS are conjunction (EJ,E2), sequence (E I;E2), and disjunction (E I E2). Because of the similarities to Snoop, these events are not further discussed.
Caseau (1991); Cacace et al. (1993); Ramakrishnan et aI. (1993). Cf. Kosciuszko (1992a); Kosciuszko (1992b). Cf. Dayal (1988), p. 151. 2. Rules in Organizations and Information Systems - 39- tabases is enlarged in such a way that the DBMS monitors events and may react appropriatelyl09. Active databases have been defined as "database systems that respond automatically to events generated internal or external to the system itself without user intervention"llO. Early propositions for active mechanisms have been part of the CODASYL data description language lll and since the first proposition of database triggersII2 as a functionality of DBMS, several research projects have been carried out to specify architecture and semantics II3 and to (partly) implement components of active DBMS.