Semantic Technologies for Enterprise Cloud Management

Haase, Peter; Mathäß, Tobias; Schmidt, Michaël; Eberhart, Andreas; Walther, Ulrich

doi:10.1007/978-3-642-17749-1_7

Cited by 18 publications

(15 citation statements)

References 13 publications

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“…It has also shown its scalability from small datasets like the one for the Rhizomik initiative 9 to really big ones like the whole DBPedia 10 , both datasets can be accessed online through Rhizomer at the provided URIs.…”

Section: Discussionmentioning

confidence: 99%

“…Though Explorator makes it possible to browse the dataset by combining search, facets or operations on sets of resources, it makes it also difficult to get a broader view on the dataset other than a list of all the classes or properties used. The same applies to the Information Workbench [9]. This tool provides faceted navigation of query results using Microsoft PivotViewer 1 but does not provide any mechanism that provide a broader view on the dataset.…”

Section: Related Workmentioning

confidence: 99%

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Publishing and interacting with linked data

Garcı́a

Brunetti

López-Muzás

et al. 2011

Proceedings of the International Conference on Web Intelligence, Mining and Semantics

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In order to make a Semantic Web dataset more usable to a wider range of users, specially Linked Data ones, Rhizomer constitutes a tool for data publishing in the web that in addition to common data browsing mechanisms based on HTML rendering, provides a set of components that facilitate awareness of the dataset at hand borrowed from Information Architecture. Rhizomer automatically generates navigation menus taking into account the ontologies used by the dataset and facets based on how properties are instantiated for each of the classes in the dataset. This makes it possible for users to easily be aware of the main kinds of things in the dataset but also their main properties and the values the take while they perform faceted navigation. These generic IA components are complemented with specialised interaction services that can be dynamically deployed and associated to resource using semantic web services. Among these services, Rhizomer features one that provides simple edition of the data using autocomplete forms guided by the ontologies used in the dataset and the available resources.

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Section: Discussionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Publishing and interacting with linked data

Garcı́a

Brunetti

López-Muzás

et al. 2011

Proceedings of the International Conference on Web Intelligence, Mining and Semantics

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“…Since 2008, work has progressed in the development of ontologies and of tools for semantic cloud computing [22][23][24]. Haase et al [25], for example, introduced an approach to administration of enterprise cloud environments, using semantic Web technologies. They proposed a Semantic Web-based product called eCloudManager, which incorporates an ontology to model its cloud data.…”

Section: Semantic Models For Grids Clouds and Iotmentioning

confidence: 99%

Using Semantic Web Technologies to Query and Manage Information within Federated Cyber-Infrastructures

Willner

Giatili

Grosso

et al. 2017

Data

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A standardized descriptive ontology supports efficient querying and manipulation of data from heterogeneous sources across boundaries of distributed infrastructures, particularly in federated environments. In this article, we present the Open-Multinet (OMN) set of ontologies, which were designed specifically for this purpose as well as to support management of life-cycles of infrastructure resources. We present their initial application in Future Internet testbeds, their use for representing and requesting available resources, and our experimental performance evaluation of the ontologies in terms of querying and translation times. Our results highlight the value and applicability of Semantic Web technologies in managing resources of federated cyber-infrastructures.

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“…In order to provide distributed IT resources and services to users based on contextaware information, Jang et al designed a context model based on the ontology of mobile cloud computing [16]. In the same area of smart cloud research, Haase et al [17] discussed intelligent information management in enterprise clouds and introduced eCloudManager ontology in order to describe concepts and relationships in enterprise cloud management . In an equivalent manner, the work of Block et al [18] establishes an alignment between ontologies in a cloud computing architecture.…”

Section: Cloud Paradigmmentioning

confidence: 99%

Towards Intelligent Distributed Computing: Cell-Oriented Computing

Karawash

Mcheick

Dbouk

2014

Studies in Computational Intelligence

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Distributed computing systems are of huge importance in a number of recently established and future functions in computer science. For example, they are vital to banking applications, communication of electronic systems, air traffic control, manufacturing automation, biomedical operation works, space monitoring systems and robotics information systems. As the nature of computing comes to be increasingly directed towards intelligence and autonomy, intelligent computations will be the key for all future applications. Intelligent distributed computing will become the base for the growth of an innovative generation of intelligent distributed systems. Nowadays, research centres require the development of architectures of intelligent and collaborated systems; these systems must be capable of solving problems by themselves to save processing time and reduce costs. Building an intelligent style of distributed computing that controls the whole distributed system requires communications that must be based on a completely consistent system. The model of the ideal system to be adopted in building an intelligent distributed computing structure is the human body system, specifically the body's cells. As an artificial and virtual simulation of the high degree of intelligence that controls the body's cells, this chapter proposes a Cell-Oriented Computing model as a solution to accomplish the desired Intelligent Distributed Computing system.

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Semantic Technologies for Enterprise Cloud Management

Cited by 18 publications

References 13 publications

Publishing and interacting with linked data

Publishing and interacting with linked data

Using Semantic Web Technologies to Query and Manage Information within Federated Cyber-Infrastructures

Towards Intelligent Distributed Computing: Cell-Oriented Computing

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