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With the demand of power information construction and the application of D5000 platform, the standardization and management of all kinds of data becomes a necessary condition for data sharing and application integration between systems. In order to realize the safe, convenient and efficient information resource sharing of power enterprises and improve the information management level, the fusion method...
The purpose of designing a corporate memory within an industrial-based organization is to facilitate user access to critical knowledge held in this memory. So, the objective of corporate semantic web service architecture that we propose is to include knowledge in domain ontology and to make them easily accessible by users. In our context, knowledge contained in the ontology concerns industrial medical...
Service-based architecture (SOA) are extensively adopted in web applications. In this scenario, REST-based web services has become a large adopted standard. The addition of semantics enhances the web services description, which enables automatic agents to discover them and to make calls. However, the existence of many different languages to semantically describe services makes it difficult to discover...
In scientific scenario, there is an increasing collaboration among research groups, which leads to the growth in the use of information processing techniques, and the creation of new experiments as well as the sharing of their results. In this article, we present an architecture named e-ScienceNet, that creates an access point to distributed scientific applications, where scientists can work with...
Cloud computing is a promising business and computing model. The cloud storage is an essential and most used service, which provides stable and massive data storage space to end users. In this research work, new private cloud storage architecture is proposed with decentralized indexing which is based on peer to peer network. The proposed cloud architecture has semantic middleware for data storage...
Internet-of-Things (IoT) is the convergence of Internet with RFID, Sensor and smart objects. IoT can be defined as “things belonging to the Internet” to supply and access all of real-world information. Billions of devices are expected to be associated into the system and that shall require huge distribution of networks as well as the process of transforming raw data into meaningful inferences. IoT...
In this paper, we describe a demonstration of a semantic data interface implemented into a low capacity, battery operated wireless sensor. The demonstration scenario is a home greenhouse application where plant jars are equipped with plant sticks that contain moisture sensors. The gardener is provided with alarms that help caring for the plants properly. The alarm is given both as a visual LED blinking...
In this paper an approach for taking advantage of the information available in the social network tools of Learning Management Systems is presented. Specifically, our objective is to determine domain experts from their participation in the social networks. Our approach first integrates the different sources of information through an ontology based on the \textit{Dublin Core Metadata}, and then applies...
Context aware computing as well as wearable and ubiquitous computing often attain with pattern recognition on incoming sensor data. Recognizing more (useful) contexts requires more information about the context, and thus more sensors and better recognition algorithms. In order to enable logic inference on incoming data, the proposed work assumes that incoming data are represented by means of semantic...
Efficient resource and energy management is a key research and business area in todays IT markets. Cyber-physical ecosystems, like smart homes (SHs) and smart Environments (SEs) get interconnected, the efficient allocation of resources will become essential. Machine Learning and Semantic Web techniques for improving resource allocation and management are the focus of our research. They allow machines...
The research of e-learning works in a wide spectrum of applications, ranging from virtual classrooms to remote courses or distance learning. Semantic Web is a new WWW architecture that enhances content with formal semantics to make efforts. This means that the material is made suitable for machine consumption, as the material that is intended for human consumption as opposed to only. In this paper...
A smart space is a physical space with heterogeneous smart objects that collaborate and share information to perform tasks desired by users. Interoperability among smart objects is the key challenge in smart spaces. In this paper, we discuss a semantic interoperability approach for smart spaces introduced by the SOFIA (Smart Objects for Intelligent Applications) project. A semantic interoperability...
We present a component-based, conceptual architecture for Semantic Web applications. It describes the high-level functionality that substantially differentiates Resource Description Framework (RDF)-supported applications from database-driven applications. We provide a strong empirical grounding for this architecture through a survey of Semantic Web applications over most of the past decade. Our empirical...
Current web service composition basically proceeds by static composition using pre-defined workflow model. When a user asks for a web service, there is probably not any single web service can satisfy his need. Sometimes, some web services should be composed to fulfill the request. Pure static composition lacks of flexibility. But to compose the web services only when needed will affect the efficiency...
This paper investigates an extension to description logic based knowledge reasoning by means of decomposing and rewriting complicated hybrid concepts into partitions. An approach which automatically decomposes the whole knowledge base into description logic compatible and constraints solver, is presented. System architecture for knowledge reasoning is two-fold. First, complex description logics with...
This Special Session is going to present some of the activities carried out by the Excellence Network on e-learning that is being funded in the Region of Madrid, called eMadrid. They are related to the application of open source principles in the educational context and in opening up the alternatives to the learner.
This paper presents a new approach of the Semantically Enhanced Resource Allocation (SERA) distributed as a multi-agent system. It presents a distributed resource allocation process which combines the benefits of semantic web for making easier the integration between multiple resource providers in the Cloud and agent technologies for coordinating and adapting the execution accross the different providers...
We propose an Open SEA (Open Semantic Enterprise Architecture) as a conceptual framework for enterprise interoperability that combines ontology of enterprise architecture with an abstract syntax for logic systems. This framework could provide the foundations for different domains using different ontologies and different systems to interoperate at a semantic level and provide meaningful descriptions...
In today's world of web, everybody desires different types of E-services from the internet, which is a massive storehouse of information, and on demand produces required services in front of the consumer. This brings revolution to the civilization of mankind. Hundreds of researchers are working on easy access of web services. When a user searches web for specific information, the search engine produces...
This paper presents a two-level architecture for semantic P2P service discovery, which not only supports functionality-based service discovery but also provides flexible management mechanism for domain ontology. At the first level, a backbone is constructed on the basis of a category ontology, and the management task of domain ontology is distributed to the backbone peers on a per category basis....
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