An ActOn-based semantic information service for Grids

Wei, Xing; Corcho, Óscar; Goble, Carole; Dikaiakos, Marios D.

doi:10.1016/j.future.2009.10.003

Cited by 9 publications

(5 citation statements)

References 25 publications

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“…In [7], we developed a semantic information integration approach to integrate and update information from distributed, heterogeneous data sources dynamically. The CDN employs ActOn [7,8] as a means to retrieve, integrate, and manage the CDN Content in a intelligent and active manner.…”

Section: Retrieval Integration and Updatementioning

confidence: 99%

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A network approach for managing and processing big cancer data in clouds

et al. 2015

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Translational cancer research requires integrative analysis of multiple levels of big cancer data to identify and treat cancer. In order to address the issues that data is decentralised, growing and continually being updated, and the content living or archiving on different information sources partially overlaps creating redundancies as well as contradictions and inconsistencies, we develop a data network model and technology for constructing and managing big cancer data. To support our data network approach for data process and analysis, we employ a semantic content network approach and adopt the CELAR cloud platform. The prototype implementation shows that the CELAR cloud can satisfy the on-demanding needs of various data resources for management and process of big cancer data.

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Section: Retrieval Integration and Updatementioning

confidence: 99%

“…The CDN employs ActOn [7,8] as a means to retrieve, integrate, and manage the CDN Content in a intelligent and active manner.…”

Section: Retrieval Integration and Updatementioning

confidence: 99%

A network approach for managing and processing big cancer data in clouds

et al. 2015

Self Cite

View full text Add to dashboard Cite

show abstract

“…In [1], we developed a semantic information integration approach to integrate and update information from distributed, heterogeneous data sources dynamically.…”

Section: Retrieval Integration and Updatementioning

confidence: 99%

“…CDN middleware employs ActOn [1,2], a semantic information integration system, to connect the data sources to the CDN system in order to: (a) deploy the Data Content and place it inside CDN which contain extra information about the content that make it both self-aware and context-aware together, and (b) to link the Data Content in multiple Data Content Networks. During system operation, the links (the edges in the network graph shown in Fig.…”

Section: System Componentsmentioning

confidence: 99%

A Cloud-Based Data Network Approach for Translational Cancer Research

Wei

Tsoumakos

Ghanem

2014

Advances in Experimental Medicine and Biology

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We develop a new model and associated technology for constructing and managing self-organizing data to support translational cancer research studies. We employ a semantic content network approach to address the challenges of managing cancer research data. Such data is heterogeneous, large, decentralized, growing and continually being updated. Moreover, the data originates from different information sources that may be partially overlapping, creating redundancies as well as contradictions and inconsistencies. Building on the advantages of elasticity of cloud computing, we deploy the cancer data networks on top of the CELAR Cloud platform to enable more effective processing and analysis of Big cancer data. IntroductionTranslational cancer research builds on incorporating multiple levels of biological information within clinical data with aim of gaining better understanding of how cancer works and developing new ways for identifying, preventing and treating the disease. The first challenge in conducting translational studies is that the data is heterogeneous, including phenotype, genotype, expression profiling, proteomics, protein interaction, metabolic analysis data as well as physiological measurements, etc. The second key challenge is that the data is large, decentralized, growing and continually being updated. It originates from different sources, e.g. different

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“…The nature of Grid infrastructure is to integrate large computational and storage resources, data, services and applications from different disciplines [1]. The ability to manage Grid systems depends on the accuracy and availability of the resources like computational power, storage and networking [2]. Locations of resources in Grid environment is the primary necessity which permits the discovery of services across multiple administrative domains.…”

Section: Introductionmentioning

confidence: 99%

Geo-Chord: Geographical Location based Chord Protocol in Grid Computing

Pethalakshmi¹,

Jeyabharathi²

2014

IJCA

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Grid computing is a service for sharing computer resources and data storage capacity over the internet. As resource requirements of recent applications increased greatly, grid systems have gained importance in the last decade. Resource discovery is the essential job in Grid computing which provides searching and identifying necessary resources for given processes. There are various Resource Discovery mechanisms in which Peer-to-Peer (P2P) technology witnessed a rapid development. Current Peer-to-Peer system is based on DHTs struggle with routing locality because of random node ID assignment. Locality awareness is one of the important properties of P2P Systems, which builds and operates their topology independently in the underlying network topology. Among structured P2P system Chord is well-known protocol due to its simplicity, dynamicity, scalability and flexibility in node join and departure. Due to the use of logical overlay network, Chord suffered from high routing latency and low efficiency in data lookup. In this paper, Geo-Chord is introduced, which is based on geographical location of nodes. Based on the Euclidian distance among nodes neighbors are identified and many Region-Rings are formed. Ring heads of Regions form the main Chord ring. Geo-Chord makes use of the physical network topology of the overlay network to demonstrate more efficient key lookup. Simulation results show that our proposed algorithm performs better in terms of average number of messages, hops and average communication time.

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An ActOn-based semantic information service for Grids

Cited by 9 publications

References 25 publications

A network approach for managing and processing big cancer data in clouds

A network approach for managing and processing big cancer data in clouds

A Cloud-Based Data Network Approach for Translational Cancer Research

Geo-Chord: Geographical Location based Chord Protocol in Grid Computing

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