Barriers to Enterprise Interoperability

Abstract

Abstract. Interoperability is a key feature for enterprises in today's competitive environment. Fundamental interoperability problems are however still not well understood. Within the scope of the Framework for Enterprise Interoperability (FEI) originally proposed by INTEROP NoE and now moved to ISO standardization process, this paper tentatively identifies and categorizes a set of interoperability barriers. Barriers to interoperability are defined as incompatibility between two enterprise systems. A list of interoperability barriers is presented and these barriers are then mapped to the FEI and illustrated with examples. The most significant dependencies between barriers are also tentatively defined and presented.

Empirical assessment of the accuracy of an interoperability prediction language

“…In the former, one could apply a manual investigation of and reasoning about the included rules, which, however, would not provide any evidence on the completeness of the framework. To address this, one could use an external conceptual model of the knowledge base as a reference (Rushby 1988), but detailed such models are sparse in the field of interoperability (Ullberg et al 2009a) and in particular pertaining to interoperability prediction (Chen et al 2008).…”

“…Although there are many initiatives in the field of interoperability (Chen et al 2008); there are still fundamental interoperability problems not yet well understood (Ullberg et al 2009a;Blanc et al 2007). In this paper, interoperability is viewed from the perspective of prediction.…”

Data Organization Patterns for Cloud Enterprise Applications

“…Enterprise application interoperability is a notable problem which troubles enterprises for many years [4]. In this content, data synchronization and integration is the fundamental mission in this field.…”

“…Some business products for data integration of cloud-based, SaaS, and onpremise applications appear, like Boomi and Nimaya [12]. In the academia, Fujun et al [4] described the new serviceoriented data integration architecture (SODIA) to deal with dynamic discovery of data sources. Scheibler et al [13] proposed EAI as a Service as a flexible, customizable and inexpensive way to tackle EAI problems not only of onpremise software but also of applications run in a SaaS model.…”

Quality of semantic standards

“…Three categories of barriers are defined: conceptual, technological and organizational. Interoperability concerns defines the content of interoperation that may take place at various levels of the enterprise (data, service, process, business) (Ullberg, Chen, & Johnson, 2009). …”