Name
Title | ||
|---|---|---|
Efficient and Accurate Retrieval of Business Process Models through Indexing - (Short Paper) |
Abstract | ||
|---|---|---|
Recent years have seen an increased uptake of business process management technology in various industries. This has resulted
in organizations trying to manage large collections of business process models. One of the challenges facing these organizations
concerns the retrieval of models from large business process model repositories. As process model repositories may be large,
query evaluation may be time consuming. Hence, we investigate the use of indexes to speed up this evaluation process. Experiments
are conducted to demonstrate that our proposal achieves a significant reduction in query evaluation time.
|
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-16934-2_28 | OTM Conferences (1) |
Keywords | Field | DocType |
index,business process model,exact query,repository.,business process management,indexation,process model | Data science,Artifact-centric business process model,Business process management,Business process,Process modeling,Business process modeling,Engineering,Business process discovery,Database,Business rule,Process mining | Conference |
ISSN | Citations | PageRank |
16113349 | 6 | 0.53 |
References | Authors | |
14 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tao Jin | 1 | 69 | 5.71 |
| Jianmin Wang | 2 | 2446 | 156.05 |
| Nianhua Wu | 3 | 15 | 1.06 |
| marcello la rosa | 4 | 1402 | 81.70 |
| arthur h m ter hofstede | 5 | 2913 | 200.53 |