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Semantic unification is the process of unifying lexically different concept representations that are judged to have the same semantic content (i.e., meaning). In business processes, the conceptual semantic unification is defined as "the mapping of two expressions onto an expression in an exchange format which is equivalent to the given expression".
Semantic unification has since been applied to the fields of business processes and workflow management. In the early 1990s Charles Petri at Stanford University introduced the term "semantic unification" for business models, later references could be found in and later formalized in Fawsy Bendeck's dissertation. Petri introduced the term 'pragmatic semantic unification" to refer to the approaches in which the results are tested against a running application using the semantic mappings. In this pragmatic approach, the accuracy of the mapping is not as important as its usability.
In general, semantic unification as used in business processes is employed to find a common unified concept that matches two lexicalized expressions into the same interpretation.
Semantic unification is the process of unifying lexically different concept representations that are judged to have the same semantic content (i.e., meaning). In business processes, the conceptual semantic unification is defined as "the mapping of two expressions onto an expression in an exchange format which is equivalent to the given expression".
Semantic unification has since been applied to the fields of business processes and workflow management. In the early 1990s Charles Petri at Stanford University introduced the term "semantic unification" for business models, later references could be found in and later formalized in Fawsy Bendeck's dissertation. Petri introduced the term 'pragmatic semantic unification" to refer to the approaches in which the results are tested against a running application using the semantic mappings. In this pragmatic approach, the accuracy of the mapping is not as important as its usability.
In general, semantic unification as used in business processes is employed to find a common unified concept that matches two lexicalized expressions into the same interpretation.
See also
* Ontology alignment * Schema Matching * Semantic mapper * Semantic integration *List of language regulators
This is a list of bodies that consider themselves to be authorities on standard languages, often called language academies. Language academies are motivated by, or closely associated with, linguistic purism and prestige, and typically publish p ...
* Semantic parsing Semantic parsing is the task of converting a natural language utterance to a logical form: a machine-understandable representation of its meaning. Semantic parsing can thus be understood as extracting the precise meaning of an utterance. Applicat ...
* Open Mind Common Sense
* Doublespeak
* Disambiguation
Word-sense disambiguation is the process of identifying which sense of a word is meant in a sentence or other segment of context. In human language processing and cognition, it is usually subconscious.
Given that natural language requires ref ...
References
* Michael M. Richter,Knowledge Management
Knowledge management (KM) is the set of procedures for producing, disseminating, utilizing, and overseeing an organization's knowledge and data. It alludes to a multidisciplinary strategy that maximizes knowledge utilization to accomplish organ ...
- Process Modeling, Lecture Notes, Calgary University 2004.
Business process modelling
Semantics
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