scholarly journals A Service-oriented Framework for Integration of Domain-specific Data Models in Scientific Workflows

2013 ◽  
Vol 18 ◽  
pp. 1087-1096 ◽  
Author(s):  
Andreas Bender ◽  
Angela Poschlad ◽  
Stefan Bozic ◽  
Ivan Kondov
Keyword(s):  
Data Models ◽  
Scientific Workflows ◽  
Specific Data ◽  
Domain Specific ◽  
Service Oriented

LADM for sustainable development: An exploratory study on the application of domain-specific data models to support the SDGs

2021 ◽  
Vol 108 ◽  
pp. 105499
Author(s):  
Eva-Maria Unger ◽  
Rohan Mark Bennett ◽  
Christiaan Lemmen ◽  
Jaap Zevenbergen
Keyword(s):  
Sustainable Development ◽  
Exploratory Study ◽  
Data Models ◽  
Specific Data ◽  
Domain Specific

A Reference Ontology Based Approach for Service Oriented Semantic Interoperability

2011 ◽  
Vol 3 (1) ◽  
pp. 1-16 ◽  
Author(s):  
Shuying Wang ◽  
Kevin P. Brown ◽  
Jinghui Lu ◽  
Miriam Capretz
Keyword(s):  
Information Exchange ◽  
Data Models ◽  
Specific Reference ◽  
Prototype System ◽  
Practical Case ◽  
Distributed Environment ◽  
Data Interoperability ◽  
Domain Specific ◽  
Reference Ontology ◽  
Service Oriented

To establish effective information exchange among applications in a distributed environment, participants not only share their functions and service interfaces, but often exchange data models. This paper proposes the use of ontologies to represent data models thus allowing applications to locate and integrate these models. A reference ontology based approach for service oriented ontology management is introduced. Specifically, a domain-specific reference ontology for use in the evaluation of a practical case is developed. To validate and evaluate the approach, a prototype system is developed to provide ontology deploying, browsing and mapping operations based on a service-oriented system. Experiments provide promising results that are consistent with the original ideas of managing ontologies and optimizing ontology mappings to facilitate data interoperability in a distributed environment.

A Reference Ontology Based Approach for Service Oriented Semantic Interoperability

2012 ◽  
pp. 1-16
Author(s):  
Shuying Wang ◽  
Kevin P. Brown ◽  
Jinghui Lu ◽  
Miriam Capretz
Keyword(s):  
Information Exchange ◽  
Data Models ◽  
Specific Reference ◽  
Prototype System ◽  
Practical Case ◽  
Distributed Environment ◽  
Data Interoperability ◽  
Domain Specific ◽  
Reference Ontology ◽  
Service Oriented

To establish effective information exchange among applications in a distributed environment, participants not only share their functions and service interfaces, but often exchange data models. This paper proposes the use of ontologies to represent data models thus allowing applications to locate and integrate these models. A reference ontology based approach for service oriented ontology management is introduced. Specifically, a domain-specific reference ontology for use in the evaluation of a practical case is developed. To validate and evaluate the approach, a prototype system is developed to provide ontology deploying, browsing and mapping operations based on a service-oriented system. Experiments provide promising results that are consistent with the original ideas of managing ontologies and optimizing ontology mappings to facilitate data interoperability in a distributed environment.

scholarly journals DISSECT: DISentangle SharablE ConTent for Multimodal Integration and Crosswise-mapping

2020 ◽  
Author(s):  
Geoffrey Schau ◽  
Erik Burlingame ◽  
Young Hwan Chang
Keyword(s):  
Deep Learning ◽  
Complete Information ◽  
Specific Information ◽  
Multimodal Integration ◽  
Specific Data ◽  
Domain Specific ◽  
Cross Domain ◽  
Input Feature ◽  
Novel Approach ◽  
Latent Representations

AbstractDeep learning systems have emerged as powerful mechanisms for learning domain translation models. However, in many cases, complete information in one domain is assumed to be necessary for sufficient cross-domain prediction. In this work, we motivate a formal justification for domain-specific information separation in a simple linear case and illustrate that a self-supervised approach enables domain translation between data domains while filtering out domain-specific data features. We introduce a novel approach to identify domainspecific information from sets of unpaired measurements in complementary data domains by considering a deep learning cross-domain autoencoder architecture designed to learn shared latent representations of data while enabling domain translation. We introduce an orthogonal gate block designed to enforce orthogonality of input feature sets by explicitly removing non-sharable information specific to each domain and illustrate separability of domain-specific information on a toy dataset.

scholarly journals Selective Service Provenance in the VRESCo Runtime

2012 ◽  
pp. 372-394
Author(s):  
Anton Michlmayr ◽  
Florian Rosenberg ◽  
Philipp Leitner ◽  
Schahram Dustdar
Keyword(s):  
Performance Evaluation ◽  
Information Systems ◽  
Web Service ◽  
Scientific Workflows ◽  
Data Provenance ◽  
Provenance Information ◽  
Selective Service ◽  
Runtime Environment ◽  
Service Oriented ◽  
History Of

In general, provenance describes the origin and well-documented history of a given object. This notion has been applied in information systems, mainly to provide data provenance of scientific workflows. Similar to this, provenance in Service-oriented Computing has also focused on data provenance. However, the authors argue that in service-centric systems the origin and history of services is equally important. This paper presents an approach that addresses service provenance. The authors show how service provenance information can be collected and retrieved, and how security mechanisms guarantee integrity and access to this information, while also providing user-specific views on provenance. Finally, the paper gives a performance evaluation of the authors’ approach, which has been integrated into the VRESCo Web service runtime environment.

scholarly journals A Domain Specific Entity Linking Approach Consuming Multistore Environment

2018 ◽  
pp. 46-52
Author(s):  
Emrah Inan ◽  
Burak Yonyul ◽  
Fatih Tekbacak
Keyword(s):  
Big Data ◽  
Data Models ◽  
Use Cases ◽  
Unstructured Data ◽  
Entity Linking ◽  
Domain Specific ◽  
Storage Technology ◽  
Integrated Environment ◽  
Data Environment ◽  
The Web

Most of the data on the web is non-structural, and it is required that the data should be transformed into a machine operable structure. Therefore, it is appropriate to convert the unstructured data into a structured form according to the requirements and to store those data in different data models by considering use cases. As requirements and their types increase, it fails using one approach to perform on all. Thus, it is not suitable to use a single storage technology to carry out all storage requirements. Managing stores with various type of schemas in a joint and an integrated manner is named as 'multistore' and 'polystore' in the database literature. In this paper, Entity Linking task is leveraged to transform texts into wellformed data and this data is managed by an integrated environment of different data models. Finally, this integrated big data environment will be queried and be examined by presenting the method.

Cloud-Based Intelligent User Interface for Cloud Manufacturing: Model, Technology, and Application

2015 ◽  
Vol 137 (4) ◽  
Author(s):  
Lei Ren ◽  
Jin Cui ◽  
Ni Li ◽  
Qiong Wu ◽  
Cuixia Ma ◽  
...  
Keyword(s):  
User Interface ◽  
Manufacturing Industry ◽  
Multimodal Interaction ◽  
Cloud Manufacturing ◽  
Domain Specific ◽  
Intelligent User Interface ◽  
Usability Problems ◽  
Key Characteristics ◽  
Industry Practice ◽  
Service Oriented

Cloud manufacturing is gradually transforming the way enterprises do business from traditional production-oriented manufacturing to service-oriented manufacturing. The development of cloud manufacturing in industry practice is closely related to domain-specific user experience. The huge amount of users with diverse roles and various requirements in manufacturing industry are facing great challenges of cloud system usability problems. Thus, user interface issues play a significant role in pushing this new area forward. In this paper, we discuss the key characteristics of intelligent user interface (IUI) for cloud manufacturing, i.e., naturality, smart mobility, self-configuration, and flexible customization. Further, a cloud-plus-IUI model for cloud end-users is presented. Then we discuss the enabling technologies, i.e., automatic configuration based on virtualization, context-aware adaption and recommendation, and multimodal interaction. Finally, we present SketchPart, a sketch-based pad system prototype for searching part drawings in the cloud, to show the advantages of the proposed cloud-plus-IUI solution.

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