Semantic Discovery of Resources in Cloud-Based PACS/RIS Systems

mRDP: An HTTP-based lightweight semantic discovery protocol

Computer Networks ◽

10.1016/j.comnet.2007.06.017 ◽

2007 ◽

Vol 51 (16) ◽

pp. 4529-4542 ◽

Cited By ~ 10

Author(s):

Juan Ignacio Vazquez ◽

Diego López-de-Ipiña

Keyword(s):

Semantic Discovery

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Context-aware semantic discovery for next generation mobile systems

IEEE Communications Magazine ◽

10.1109/mcom.2006.1705981 ◽

2006 ◽

Vol 44 (9) ◽

pp. 62-71 ◽

Cited By ~ 46

Author(s):

P. Bellavista ◽

A. Corradi ◽

R. Montanari ◽

A. Toninelli

Keyword(s):

Mobile Systems ◽

Context Aware ◽

Next Generation ◽

Semantic Discovery

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Semantic Web Service Discovery

Semantic Web Services ◽

10.4018/978-1-59904-045-5.ch011 ◽

2011 ◽

pp. 240-280 ◽

Cited By ~ 9

Author(s):

V. Tsetsos

Keyword(s):

Semantic Web ◽

Web Service ◽

Service Discovery ◽

Semantic Web Service ◽

Web Service Discovery ◽

Wide Range ◽

Near Future ◽

Semantic Web Service Discovery ◽

Current Systems ◽

Semantic Discovery

This chapter surveys existing approaches to Semantic Web service discovery. Such semantic discovery will probably substitute existing keyword-based solutions in the near future, in order to overcome the limitations of the latter. First, the architectural components along with potential deployment scenarios are discussed. Subsequently, a wide range of algorithms and tools that have been proposed for the realization of Semantic Web service discovery are presented. Moreover, key challenges and open issues, not addressed by current systems, are identified. The purpose of this chapter is to update the reader on the current progress in this area of the distributed systems domain and to provide the required background knowledge and stimuli for further research and experimentation in semantics-based service discovery.

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Semantic Discovery in the Web of Things

Current Trends in Web Engineering - Lecture Notes in Computer Science ◽

10.1007/978-3-319-74433-9_2 ◽

2018 ◽

pp. 19-31 ◽

Cited By ~ 2

Author(s):

Fernando Serena ◽

María Poveda-Villalón ◽

Raúl García-Castro

Keyword(s):

Web Of Things ◽

The Web ◽

Semantic Discovery

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Knowledge management practice of medical cloud logistics industry: transportation resource semantic discovery based on ontology modelling

Journal of Intellectual Capital ◽

10.1108/jic-03-2020-0072 ◽

2020 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Fuli Zhou ◽

Yandong He ◽

Panpan Ma ◽

Raj V. Mahto

Keyword(s):

Knowledge Management ◽

Management Practice ◽

Resource Discovery ◽

The Novel ◽

Logistics Industry ◽

Content Type ◽

Resource Matching ◽

Matching Rules ◽

Semantic Discovery ◽

Transportation Resource

PurposeThe booming of the Internet of things (IoT) and artificial intelligence (AI) techniques contributes to knowledge adoption and management innovation for the healthcare industry. It is of great significance to transport the medical resources to required places in an efficient way. However, it is difficult to exactly discover matched transportation resources and deliver to its destination due to the heterogeneity. This paper studies the medical transportation resource discovery mechanism, leading to efficiency improvement and operational innovation.Design/methodology/approachTo solve the transportation resource semantic discovery problem under the novel cloud environment, the ontology modelling approach is used for both transportation resources and tasks information modes. Besides, medical transportation resource discovery mechanism is proposed, and resource matching rules are designed including three stages: filtering reasoning, QoS-based matching and user preferences-based rank to satisfy personalized demands of users. Furthermore, description logic rules are built to express the developed matching rules.FindingsAn organizational transportation case is taken as an example to describe the medical transportation logistics resource semantic discovery process under cloud medical service scenario. Results derived from the proposed semantic discovery mechanism could assist operators to find the most suitable resources.Research limitations/implicationsThe case study validates the effectiveness of the developed transportation resource semantic discovery mechanism, contributing to knowledge management innovation for the medical logistics industry.Originality/valueTo improve task-resource matching accuracy under cloud scenario, this study develops a transportation resource semantic discovery procedure from the viewpoint of knowledge management. The novel knowledge management practice contributes to operational management of the cloud medical logistics service by introducing ontology modelling and creative management.

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Towards a Protocol for the Attachment of Metadata to Grid Service Descriptions and Its Use in Semantic Discovery

Scientific Programming ◽

10.1155/2004/170481 ◽

2004 ◽

Vol 12 (4) ◽

pp. 201-211 ◽

Cited By ~ 7

Author(s):

Simon Miles ◽

Juri Papay ◽

Terry Payne ◽

Michael Luck ◽

Luc Moreau

Keyword(s):

Distributed Systems ◽

Service Discovery ◽

Large Scale ◽

Grid Service ◽

Semantic Grid ◽

Essential Component ◽

Open Distributed Systems ◽

Semantically Enhanced ◽

Semantic Service ◽

Semantic Discovery

Service discovery in large scale, open distributed systems is difficult because of the need to filter out services suitable to the task at hand from a potentially huge pool of possibilities. Semantic descriptions have been advocated as the key to expressive service discovery, but the most commonly used service descriptions and registry protocols do not support such descriptions in a general manner. In this paper, we present a protocol, its implementation and an api for registering semantic service descriptions and other task/user-specific metadata, and for discovering services according to these. Our approach is based on a mechanism for attaching structured and unstructured metadata, which we show to be applicable to multiple registry technologies. The result is an extremely flexible service registry that can be the basis of a sophisticated semantically-enhanced service discovery engine, an essential component of a Semantic Grid.

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