Semantic Service Bus: Architecture and Implementation of a Next Generation Middleware

Karastoyanova, Dimka; Wetzstein, Branimir; Lessen, Tammo van; Wutke, Daniel; Nitzsche, Jörg; Leymann, Frank

doi:10.1109/icdew.2007.4401015

Cited by 34 publications

(13 citation statements)

References 2 publications

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“…Their model makes the path selection in ESB transparent and service composition configuration dynamic. Authors in [16] have introduced a middleware representing a combination of SOA and Semantic Web and they call it Semantic Service Bus. It enhances the processes of service discovery, routing, composition, etc., by employing semantic description of services.…”

Section: Related Work and Discussionmentioning

confidence: 99%

A framework for data quality handling in enterprise service bus

Rasta

Nguyen

Prinz

2013

Third International Conference on Innovative Computing Technology (INTECH 2013)

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Enterprise Service Bus (ESB) is proposed to address the application integration problem by facilitating communication among different systems in a loosely coupled, standardbased, and protocol independent manner. Data sources are maintained out of the ESB's control and there should be a mechanism to select the most suitable data source among all available data sources. Especially, when two or more data sources are about the same object. For instance, it is normal to use more than one sensor to measure pressure or temperature at a particular point. Data quality can play an important role in selecting data sources in ESB since quality of data is an essential factor in the success of organizations. There is no built-in component in the current ESB platforms to handle data quality. In this paper, we present a flexible and comprehensive data quality framework for managing resources in ESB. The framework is independent of concrete ESB platforms. We evaluate our framework using four different scenarios within the wind energy domain.

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Section: Related Work and Discussionmentioning

confidence: 99%

A framework for data quality handling in enterprise service bus

Rasta

Nguyen

Prinz

2013

Third International Conference on Innovative Computing Technology (INTECH 2013)

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“…With the emerging of Semantic Web technology [2], traditional web service techniques were enhanced by combining semantic service descriptions [1], [4], [10]. Since semantic information was used, user requests and preferences can be specified more accurately and the service discovery mechanism is made more efficient.…”

Section: B Semantic Service Compositionmentioning

confidence: 99%

“…4) User Interface provides the means to interact with users or software agents, exporting the result path either in the form of web-base pages or web services.…”

Section: A Nimbletransit Frameworkmentioning

confidence: 99%

NimbleTransit: Public Transportation Transit Planning Using Semantic Service Composition Schemes

Chen

Dow

Guan

2008

2008 11th International IEEE Conference on Intelligent Transportation Systems

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Advanced Traveler Information Systems (ATIS) aim at collecting and disseminating helpful information to travelers. Among them there are systems providing public transit information as well as path planning services, called Advanced Public Transportation Systems (APTS). However, most modern APTSs maintained their own individual transportation service information in a non-sharable fashion, thus planning paths for large scope is difficult since there is no information exchanging methods for existing APTS. In addition, existing researches usually employ shortest path algorithms, and did not take advantages of other semantic information such as geographic locations, service information, etc., thus usually are not scalable well for large scope trip planning. This work proposes a Semantic-based APTS framework for transit planning, where Semantic Web-based service interfaces are specified for information exchanging, making it possible to integrate and organize heterogeneous data from various APTS and transportation enterprises. In addition, a semantic-based trip-planning scheme is designed to be used in NimbleTransit, where service information is aggregated in advance using semantic knowledge. Semantic service composition is then used to construct the path. A system prototype is implemented, and the results showed that the proposed scheme is indeed more effective and scalable than existing schemes.

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“…Karastoyanova et al [9] proposed a reference architecture for semantic business process management where they clearly distinguish between a process modeling and runtime environment. The reference architecture has later been implemented as an semantic service bus [10]. Fujii and Suda [7] present another comprehensive framework for semantics-based dynamic service composition.…”

Section: Semantic Technologiesmentioning

confidence: 99%

DS3I - A Dynamic Semantically Enhanced Service Selection Infrastructure

Fritsch

Bednár

Pernul

2011

Lecture Notes in Business Information Processing

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Summary. Service-oriented computing (SOC), lately often in combination with business process modeling (BPM), is becoming reality in current enterprise systems. At the same time, process models do no longer only span different departments but more and more frequently multiple organizations. Current BPM approaches focus on syntactic specification of work flow structures and necessitate static service allocation during modeling time. Dynamic service allocation at runtime based on the semantics of service descriptions, however, allows for much more flexibility. This paper presents DS 3 I as a concept and implementation for semantically enhanced dynamic service selection. DS 3 I and its semantic middleware components are based upon an ESB and semantic annotations of services and allows for one-step service selection at runtime of a process.

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Semantic Service Bus: Architecture and Implementation of a Next Generation Middleware

Cited by 34 publications

References 2 publications

A framework for data quality handling in enterprise service bus

A framework for data quality handling in enterprise service bus

NimbleTransit: Public Transportation Transit Planning Using Semantic Service Composition Schemes

DS3I - A Dynamic Semantically Enhanced Service Selection Infrastructure

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