Searching Business Process Repositories Using Operational Similarity

Lincoln, Maya; Gal, Avigdor

doi:10.1007/978-3-642-25109-2_2

Cited by 14 publications

(7 citation statements)

References 16 publications

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“…These techniques are merely relevant to process search on the Web, since in this case (a) users are seeking to receive a complete process; and (b) the expected process result is usually not related semantically to the search phrase, but rather operationally. The work of Lincoln and Gal (2011) extends the above line of works. This work supports the retrieval of complete process segments by applying dynamic segmentation of the process repository.…”

Section: Related Worksupporting

confidence: 56%

“…The work of Belhajjame and Brambilla (2009) proposes a queryby-example approach that relies on ontological description of business processes, activities, and their relationships. The work of Lincoln and Gal (2011) automatically extracts and uses the operational layer (the "how-to") and the business rules encapsulated in a process repository. Such automatic ontology extraction techniques are important for analyzing data encapsulated in the Web.…”

Section: Related Workmentioning

confidence: 99%

“…Researchers have become increasingly interested in developing methods and tools for retrieving information from business process repositories (Awad, 2008;Lincoln and Gal, 2011;Wasser et al, 2006). While research on searching structured repositories has been extensive, little or no attention was dedicated to searching business process content within unstructured repositories, such as the Web.…”

Section: Introductionmentioning

confidence: 99%

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Business Process Search within Unstructured Repositories

Lincoln¹,

Wasser²

2014

Proceedings of the International Conference on Knowledge Engineering and Ontology Development

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In recent years, researchers have become increasingly interested in developing frameworks and tools for searching business process model repositories. While research on searching structured repositories has been extensive, little attention was dedicated to searching business process content within unstructured repositories, such as the Web. We demonstrate why current search technologies are not useful for extracting process content from the Web, and explain the core reasons for the deficiency. We then present a framework for overcoming this material weakness, and discuss possible applications for realizing the suggested method.

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Section: Related Worksupporting

confidence: 56%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Business Process Search within Unstructured Repositories

Lincoln¹,

Wasser²

2014

Proceedings of the International Conference on Knowledge Engineering and Ontology Development

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“…As for the dynamic querying, similar to BPMN-Q, it tries to find process models where the requirements hold in just some process instances. In [40], the authors proposed an approach to searching business process models. This approach induces relationships between activities from their labels; it provides an approximate process model search mechanism.…”

Section: Related Workmentioning

confidence: 99%

Efficient Semantics-Based Compliance Checking Using LTL Formulae and Unfolding

Liang

Wang

Wen

et al. 2013

Journal of Applied Mathematics

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Business process models are required to be in line with frequently changing regulations, policies, and environments. In the field of intelligent modeling, organisations concern automated business process compliance checking as the manual verification is a time-consuming and inefficient work. There exist two key issues for business process compliance checking. One is the definition of a business process retrieval language that can be employed to capture the compliance rules, the other concerns efficient evaluation of these rules. Traditional syntax-based retrieval approaches cannot deal with various important requirements of compliance checking in practice. Although a retrieval language that is based on semantics can overcome the drawback of syntax-based ones, it suffers from the well-known state space explosion. In this paper, we define a semantics-based process model query language through simplifying a property specification pattern system without affecting its expressiveness. We use this language to capture semantics-based compliance rules and constraints. We also propose a feasible approach in such a way that the compliance checking will not suffer from the state space explosion as much as possible. A tool is implemented to evaluate the efficiency. An experiment conducted on three model collections illustrates that our technology is very efficient.

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“…al. [9]. In their work, they defined the object grouping model (OGM) which includes the relationship between a primary object and others in a process segment.…”

Section: Related Workmentioning

confidence: 99%

Assisting Business Process Design by Activity Neighborhood Context Matching

Chân¹,

Gaaloul²,

Tata³

2012

Service-Oriented Computing

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Speeding up the business process design phase is a crucial challenge in recent years. Some solutions, such as defining and using reference process models or searching similar processes to a working one, can facilitate the designer's work. However, recommending the whole process can make the designer confused, especially in case of large-size business processes. In this paper, we introduce the concept of activity neighborhood context in order to propose an approach that fasten the design phase regardless the size of business process. Concretely, we recommend the designer the activities that are close to the designing process from existing business processes. We evaluate our approach on a large collection of public business processes. Experimental results show that our approach is feasible and efficient.

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Searching Business Process Repositories Using Operational Similarity

Cited by 14 publications

References 16 publications

Business Process Search within Unstructured Repositories

Business Process Search within Unstructured Repositories

Efficient Semantics-Based Compliance Checking Using LTL Formulae and Unfolding

Assisting Business Process Design by Activity Neighborhood Context Matching

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