Querying Business Process Models Based on Semantics View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2011

AUTHORS

Tao Jin , Jianmin Wang , Lijie Wen

ABSTRACT

In recent years, the technology of business process management is being more widely used, so that there are more and more business process models (graphs). How to manage such a large number of business process models is challenging, among which the business process model query is a basic function. For example, based on business process model query, the model designer can find the related models and evolve them instead of starting from scratch. It will save a lot of time and is less error-prone. To this end, we propose a language (BQL) for users to express their requirements based on semantics. For efficiency, we adopt an efficient method to compute the semantic features of business process models and use indexes to support the query processing. To make our approach more applicable, we consider the semantic similarity between labels. Our approach proposed in this paper is implemented in our system BeehiveZ. Analysis and experiments show that our approach works well. More... »

PAGES

164-178

Book

TITLE

Database Systems for Advanced Applications

ISBN

978-3-642-20151-6
978-3-642-20152-3

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-20152-3_13

DOI

http://dx.doi.org/10.1007/978-3-642-20152-3_13

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1010887473


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