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 Interoperability framework for integrated e-health services

2020 ◽  
Vol 9 (1) ◽  
pp. 354-361
Author(s):  
M. Miftakul Amin ◽  
Adi Sutrisman ◽  
Deris Stiawan ◽  
Ermatita Ermatita ◽  
Mohammed Y. Alzahrani ◽  
...  
Keyword(s):  
Health Systems ◽  
Information Exchange ◽  
Service Oriented Architecture ◽  
System Development ◽  
Health Sector ◽  
Data Interoperability ◽  
Analysis And Design ◽  
Main Challenge ◽  
Service Portfolio ◽  
Service Oriented

As one of the country with largest population in the world, Indonesia is facing major challenge to serve people in various sectors, one of them is health sector. Utilization of Information and Communication Technology (ICT) has a strategic role in improving efficiency and expanding services access. The main challenge related to data interoperability is the ability to integrate and synchronize data sourced from health information (e-health) systems with different (heterogeneous) platforms. This research aims to build a framework to materialize data interoperability and information exchange among e-health systems. The interoperability is materialized by utilizing service oriented architecture (SOA) paradigm and is implemented using Web Service technology. Service oriented analysis and design (SOAD) is used as method in the system development at the analysis phase and designing phase to generate service portfolio which consisting of three levels: conceptual view, logical view, and physical view. This research intruduces Interoperability Matrix (IM) to describe the modules and entities that involved in the framework design. The framework resulted from this research can be used as reference in e-health systems development in variety of health care applications.

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

Universal Data Warehousing Based on a Meta-Data Modeling Approach

2003 ◽  
Vol 12 (03) ◽  
pp. 325-363 ◽  
Author(s):  
Joseph Fong ◽  
Qing Li ◽  
Shi-Ming Huang
Keyword(s):  
Data Warehouse ◽  
Data Warehousing ◽  
Object Oriented ◽  
Data Models ◽  
Heterogeneous Databases ◽  
Materialized Views ◽  
Prototype System ◽  
Relational View ◽  
Metadata Model ◽  
Star Schema

Data warehouse contains vast amount of data to support complex queries of various Decision Support Systems (DSSs). It needs to store materialized views of data, which must be available consistently and instantaneously. Using a frame metadata model, this paper presents an architecture of a universal data warehousing with different data models. The frame metadata model represents the metadata of a data warehouse, which structures an application domain into classes, and integrates schemas of heterogeneous databases by capturing their semantics. A star schema is derived from user requirements based on the integrated schema, catalogued in the metadata, which stores the schema of relational database (RDB) and object-oriented database (OODB). Data materialization between RDB and OODB is achieved by unloading source database into sequential file and reloading into target database, through which an object relational view can be defined so as to allow the users to obtain the same warehouse view in different data models simultaneously. We describe our procedures of building the relational view of star schema by multidimensional SQL query, and the object oriented view of the data warehouse by Online Analytical Processing (OLAP) through method call, derived from the integrated schema. To validate our work, an application prototype system has been developed in a product sales data warehousing domain based on this approach.

scholarly journals Research on Efficacy Evaluation of Large-Scale Networked Intelligent Perception System

2022 ◽  
Vol 2022 ◽  
pp. 1-11
Author(s):  
Suqiong Ge ◽  
Xiaopeng Huang
Keyword(s):  
Evaluation System ◽  
Large Scale ◽  
Task Demands ◽  
Prototype System ◽  
Engineering System ◽  
Conceptual System ◽  
Efficacy Evaluation ◽  
Perception System ◽  
Service Oriented ◽  
Evaluation Platform

Under the smart engineering system (SES), there is a huge demand for evaluating the efficacy of a large-scale networked intelligent perception system (IPS). Considering the large-scale, distributed, and networked system characteristics and perception task demands, this paper proposes a conceptual system for IPS efficacy evaluation and, on this basis, designs the architecture of the efficacy evaluation system. A networked IPS model is constructed based on domain ontology, an index system is quickly established for efficacy evaluation, the evaluation methods are assembled automatically, and adaptive real-time organization strategies are generated for networked perception based on efficacy estimate. After exploring these key technologies, a prototype system is created for the service-oriented integrated efficacy evaluation platform and used to verify and integrate research results. The research provides support for the efficacy evaluation theories and methods of large-scale networked IPS.

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.

scholarly journals BUILDING ONTOLOGIES OVER RELATIONAL DATABASES

2018 ◽  
Vol 6 (11) ◽  
pp. 254-265
Author(s):  
Damitha D Karunaratna
Keyword(s):  
Relational Databases ◽  
World Wide ◽  
Query Languages ◽  
Public Access ◽  
Prototype System ◽  
Data Bases ◽  
Domain Specific ◽  
The World ◽  
Access Data ◽  
Relational Data Bases

Relational Databases are typically created to fulfil the information requirements of a community of users generally belongs to a single organization. Data stored in these databases were typically accessed by using Structured Query Languages or through customized interfaces.  With the popularity of the World Wide Web and the availability of large number of Relational Databases for public access there is a need for users to retrieve data from these databases by using a text-based queries, possibly by using the terms that they are familiar with. However, the inherent limitations of Structured Query Languages used to create and access data in relational Data Bases does not allow uses to access data by using text-based queries. Also, the terms used in queries should be limited to those used during the construction of the databases. This paper proposes an architecture to generated ontologies over relation databases and show how they could be enhanced semantically by using available domain-specific or top-level ontologies so that the data managed by the DBs can be accessed by using text-based queries. The feasibility of the proposed architecture was demonstrated by building a prototype system over a sample MySQL database.

scholarly journals Nova Genesis - An Advanced Architecture for Internet of Things

2020 ◽  
Vol 9 (1) ◽  
pp. 1661-1666
Keyword(s):  
Information Exchange ◽  
Data Exchange ◽  
Service Oriented Architecture ◽  
Future Internet ◽  
Limiting Factor ◽  
Efficient Storage ◽  
Efficient Data ◽  
Service Oriented ◽  
New Applications ◽  
Control Management

The Internet has become the most important medium for information exchange and the core communication environment for business relations as well as for social interactions. The current internet architecture itself might become the limiting factor of Internet growth and deployment of new applications including 5G and future internet. Architectural limitations of internet include weak security, lack of efficient storage and caching, data distribution and traceability issues, lack of interoperability and so on. The proposed system overcomes these limitations by an alternate architecture for internet called NovaGenesis. This architecture integrates the concepts of Information Centric Networking (ICN), Service Oriented Architecture (SOA), network caching and name based routing. ICN evolve internet from a host-centric model to a content-centric model through efficient data exchange, storage and processing. SOA enables software-control/management of network devices based on service requirements. Network caching improves performance in terms of throughput, network traffic and retrieval delay. Name based routing is for discovering and delivering of data. The framework proposed increases the scalability and reliability of the delivery of IoT data for services.

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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