An Ontology of Environments, Events, and Happenings

Ermolayev, Vadim; Keberle, Natalya; Matzke, Wolf-Ekkehard

doi:10.1109/compsac.2008.141

Cited by 9 publications

(14 citation statements)

References 18 publications

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“…An Agent has Beliefs about its Environment(s) which are the hypotheses believed to be true. These Beliefs may further become Facts if confirmed by the happenings [4] perceived by the Agents. Beliefs together with desires and intentions are important basic elements forming the behavior of an Agent.…”

Section: Psi Upper-level Ontologymentioning

confidence: 86%

“…This model should be capable of facilitating agents reasoning about environments, events, and actions employed in decision taking procedures enacted at environmental states. These sorts of commonsense reasoning require ontological representations of time [3], environments, events and their subjective perceptions [4], processes, actions, actors, design artifacts, resources, tools [5][6][7]. The models of these domain aspects form the Core and the Extensions of PSI Suite of Ontologies v.2.1 [6] and v.2.2 [7].…”

Section: Modeling Requirementsmentioning

confidence: 99%

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An Upper Level Ontological Model for Engineering Design Performance Domain

Ermolayev¹,

Keberle²,

Matzke

2008

Lecture Notes in Computer Science

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Abstract:The paper presents PSI 1 Meta-Ontology -an upper level lightweight descriptive model for the set of the Core ontologies of PSI Suite. While PSI Suite is an interlinked modular library of ontologies describing the domain of engineering design performance in microelectronics, PSI Meta-Ontology is more domain-independent. It is an upper-level model of stateful creative dynamic processes, pro-active agents, and objects situated in nested dynamic environments based on formal representation of time, events, and happenings. It may be used as an upper-level theory for domain ontologies in different application domains having common features. PSI Meta-Ontology is designed as a semantic bridge facilitating to mapping PSI Domain ontologies to abstract ontological foundations and common sense. It is also used as semantic "glue" for bridging PSI ontologies with other theories, widely accepted in the domains where processes, states, and participating objects are the major entities. These mappings and semantic bridges are supposed to ease the commitment of potential users to PSI Suite. PSI Meta-Ontology is also used as a "proxy" for different kinds of evaluation of PSI ontologies in frame of our "shaker modeling" methodology for ontology refinement.

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Section: Psi Upper-level Ontologymentioning

confidence: 86%

Section: Modeling Requirementsmentioning

confidence: 99%

An Upper Level Ontological Model for Engineering Design Performance Domain

Ermolayev¹,

Keberle²,

Matzke

2008

Lecture Notes in Computer Science

Self Cite

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“…In difference to the mentioned EC our framework uses discrete linear time and time intervals with fuzzy beginnings and endings [9]. This enhancement makes our representation of events [10] and actions more flexible and expressive. For all other desired representational capabilities like causality, event triggering, context sensitivity, delays in effects, concurrency, release from the law of inertia [11] we rely on [8].…”

Section: Related Workmentioning

confidence: 99%

“…A DEDP State is a State S of DEDP environment which is characterized by the set of the prerequisites for the associated Actions. These pre-requisites are either the Events [10] which, if perceived as happenings [10], trigger influences that change the course of Action, the DA Representations which are required for an Action, or their combination. A DEDP State is the state of affairs in which a decision to perform one of the admisible Actions (for example, to cease the process) is to be made:…”

Section: Preliminariesmentioning

confidence: 99%

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Modeling Actions in Dynamic Engineering Design Processes

Ermolayev¹,

Keberle²,

Jentzsch

et al. 2009

Lecture Notes in Business Information Processing

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Abstract:The paper presents the approach for modeling actions in the dynamic processes of engineering design in Microelectronics and Integrated Circuits domain. It elaborates the formal framework for representing processes, the states of these processes and process environments, the actions being the constituents of the processes. Presented framework is implemented as the part of PSI Suite of Ontologies and is evaluated using three different methods: user evaluation, formal evaluation, and commonsense evaluation following PSI shaker modeling methodology. The Suite of PSI ontologies is used for representing Dynamic Engineering Design Processes in Cadence Project Planning Expert System software prototype.

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Implementing Discrete Event Calculus with Semantic Web Technologies

Mepham

Gardner

2009

2009 Fifth International Conference on Next Generation Web Services Practices

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An Ontology of Environments, Events, and Happenings

Cited by 9 publications

References 18 publications

An Upper Level Ontological Model for Engineering Design Performance Domain

An Upper Level Ontological Model for Engineering Design Performance Domain

Modeling Actions in Dynamic Engineering Design Processes

Implementing Discrete Event Calculus with Semantic Web Technologies

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