ODE (Object Database and Environment): the language and the data model

Agrawal, Rakesh; Gehani, Narain

doi:10.1145/66926.66930

Cited by 102 publications

(20 citation statements)

References 30 publications

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“…SQL3 includes simple trigger-processing capabilities [IA94]. The complex event processing research results in three types of systems: event-tree in Sentinel [Cha97], petri-net in SAMOS [GD93] and finite state automata in Ode [AG89]. The semantics of complex events in event-tree based systems are studied in [CAK94].…”

Section: Related Workmentioning

confidence: 99%

“…Further, a single table can only be monitored by at most three triggers (one for each INSERT, DELETE, and UPDATE event) which hinders the usability and expressive power of the triggering systems. Triggering systems with complex event detection mechanisms have been researched [AG89,Cha97,GD93]. However, such systems require modification of the underlying database systems, which is not suitable to the commercial database systems.…”

mentioning

confidence: 99%

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Cooperative and Reactive Agents for Information Systems

Chu¹

2000

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Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, 12b. DISTRIBUTION CODE ABSTRACT (Maximum 200 words)Active database systems have received increasing interest from both research and industrial communities. However, trigger conditions in the active rules are often difficult to specify, especially as the complexity of the events and/or conditions increases. To remedy this problem, we propose an active database system that supports rules with conceptual terms, approximate operators, and complex events. The conceptual terms and approximate operators are user and context sensitive. By introducing these high-level constructs, we not only simplify the rule specification process, but also increase the rule expressiveness. Knowledge-based relaxation techniques are used for rule specification and relaxation. High-level concepts and approximate operators used in rules are first relaxed into low-level active rules by using a tree-type knowledge structure called Type Abstraction Hierarchy which can be generated automatically from the database using clustering algorithms. The low-level rules are decomposed into a set of database triggers, which are then submitted into commercial active relational databases for simple trigger-processing. Thus, our proposed high-level active database system supports complex event detection without modification of the underlying database systems. The proposed active database system with high-level rule processing and complex event detection has been implemented at UCLA. The system operates on top of commercial relational databases that demonstrate the feasibility of high-level rule processing and complex event detection. SUBJECT TERMS AbstractActive database systems have received increasing interest from both research and industrial communities. However, trigger conditions in the active rules are often difficult to specify, especially as the complexity of the events and/or conditions increases. To remedy this problem, we propose an active database system that supports rules with conceptual terms, approximate operators, and complex events. The conceptual terms and approximate operators are user and context sensitive. By introducing these highlevel constructs, we not only simplify the rule specification process, but also increase the rule expressiveness. Knowledge-based relaxation techniques are used for rule specification and relaxation. High-level concepts and approximate operators used in rules are first relaxed into low-level active rules by using a tree-type knowledge structure called Type Abstraction Hierarchy which can be generated automatically from the database using clustering algorithms. The low-level rules...

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Section: Related Workmentioning

confidence: 99%

mentioning

confidence: 99%

Cooperative and Reactive Agents for Information Systems

Chu¹

2000

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“…Some description logics-e.g., K-Rep 36 have been extended to include persistence and other features of object-oriented databases. There are also freely available prototypes, both of object-oriented databases (e.g., ODE 58 ) and description logics (e.g., LOOM 59 ‫. )ن‬ Naturally, the description logic approaches are superior to object-oriented databases in what we might label reasoning-based support.…”

Section: Object-oriented Databases Versus Description Logicsmentioning

confidence: 99%

Benefits of an Object-oriented Database Representation for Controlled Medical Terminologies

Gu¹,

Halper²,

Geller³

et al. 1999

Journal of the American Medical Informatics Association

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A b s t r a c t Objective:Controlled medical terminologies (CMTs) have been recognized as important tools in a variety of medical informatics applications, ranging from patient-record systems to decision-support systems. Controlled medical terminologies are typically organized in semantic network structures consisting of tens to hundreds of thousands of concepts. This overwhelming size and complexity can be a serious barrier to their maintenance and widespread utilization. The authors propose the use of object-oriented databases to address the problems posed by the extensive scope and high complexity of most CMTs for maintenance personnel and general users alike. Design:The authors present a methodology that allows an existing CMT, modeled as a semantic network, to be represented as an equivalent object-oriented database. Such a representation is called an object-oriented health care terminology repository (OOHTR). Results:The major benefit of an OOHTR is its schema, which provides an important layer of structural abstraction. Using the high-level view of a CMT afforded by the schema, one can gain insight into the CMT's overarching organization and begin to better comprehend it. The authors' methodology is applied to the Medical Entities Dictionary (MED), a large CMT developed at Columbia-Presbyterian Medical Center. Examples of how the OOHTR schema facilitated updating, correcting, and improving the design of the MED are presented. Conclusion:The OOHTR schema can serve as an important abstraction mechanism for enhancing comprehension of a large CMT, and thus promotes its usability.

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“…This abstraction still maintains integer position values, but does permit more complex values to be stored in place of characters. For example: struct content x [ 5] is represented as: position: 1 2 3 4 5 content:…”

Section: List or Array Modelmentioning

confidence: 99%

Sequence modelling and an extensible data model for genomic database

1992

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ODE (Object Database and Environment): the language and the data model

Cited by 102 publications

References 30 publications

Cooperative and Reactive Agents for Information Systems

Cooperative and Reactive Agents for Information Systems

Benefits of an Object-oriented Database Representation for Controlled Medical Terminologies

Sequence modelling and an extensible data model for genomic database

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