Name
Abstract | ||
|---|---|---|
With the workflow technology being more widely used, there are more and more workflow models. How to retrieve the similar models efficiently from a large model repository is challenging. Since dynamic behavior is the essential characteristic of workflow models, we measure the similarity between models based on their behavior. Since the number of models is large, the efficiency of similarity retrieval is very important. To improve the efficiency of similarity retrieval based on behavior, we propose a more efficient algorithm for similarity calculation and use an index named TARIndex for query processing. To make our approach more applicable, we consider the semantic similarity between labels. Analysis and experiments show that our approach is efficient. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-29253-8_64 | APWeb |
Keywords | Field | DocType |
workflow technology,semantic similarity,similar workflow model,similarity retrieval,workflow model,dynamic behavior,similarity calculation,essential characteristic,query processing,efficient algorithm,efficient retrieval,large model repository | Inverted index,Semantic similarity,Data mining,Workflow technology,Information retrieval,Computer science,Business process modeling,Workflow,Database | Conference |
Citations | PageRank | References |
12 | 0.55 | 11 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tao Jin | 1 | 69 | 5.71 |
| Jianmin Wang | 2 | 2446 | 156.05 |
| Lijie Wen | 3 | 452 | 44.34 |