Performing Intelligent Mobile Searches in the Cloud Using Semantic Technologies

Pendyala, Vishnu S.; Holliday, Joanne

doi:10.1109/grc.2010.16

Cited by 13 publications

(5 citation statements)

References 7 publications

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“…, DiMartino et al (2013),Rezaei et al (2014),Malki and Benslimane (2013),Sheth and Ranabahu (2010),Somasundaram et al (2012),Challita et al (2018) . (2016),Brandis et al (2014),Kang et al (2011), Dautov et al (2013, Takabi (2013), Tan et al (2010), Rodríguez-García et al (2014), Kim et al (2010), Liu et al (2014), Veloudis and Paraskakis (2016), Riazuelo et al (2015), Santana-Perez et al (2017), Giakoumis et al (2015), Cortazar et al (2012), Manno et al (2012), Cretella and Di Martino (2012), Nelson and Uma (2012), Alti et al (2015), Hua et al (2019), Pileggi et al (2013), Modi and Garg (2019), Trajanov et al (2012), Castane et al (2018) Cloud Security Bernabe et al (2014), Hu et al (2012), Auxilia and Raja (2012), Pham et al (2018), Zhang et al (2015) Description of Cloud Resources and Services Fang et al (2015), Ahn and Kim (2015), Souza et al (2015), Benton et al (2011), Bhattacharyya et al (2016), Bassiliades et al (2017), Hamadache (2014), Di Martino et al (2017), Ward and Barker (2012) (2017), DiModica and Tomarchio (2016),Kourtesis et al (2014),Yang (2015),Xia et al (2014),Pendyala and Holliday (2010),Fu et al (2018),Tao et al (2013),Rani et al (2015),Park et al (2014),Benkner et al (2014), Zhang (2015,Yuan et al (2008), Amato et al (2015,Gracia and Mena (2011), Fensel (2011) PaaS LayerSantana-Pérez and Pérez-Hern'ndez (2012) (2008),Corradi et al (2016),Hsu and Cheng (2015),Husain et al (2011), Dessi et al (2016 …”

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confidence: 99%

Leveraging cloud computing for the semantic web: review and trends

et al. 2019

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Semantic and Cloud Computing technologies have become vital elements for developing and deploying solutions across diverse fields in computing. While they are independent of each other, they can be integrated in diverse ways for developing solutions and this has been significantly explored in recent times. With the migration of web-based data and applications to cloud platforms and the evolution of the web itself from a social, web 2.0 to a semantic, web 3.0 comes the convergence of both technologies. While several concepts and implementations have been provided regarding interactions between the two technologies from existing research, without an explicit classification of the modes of interaction, it can be quite challenging to articulate the interaction modes, hence building upon them can be a very daunting task. Hence, this research identifies and describes the modes of interaction between them. Furthermore, a "cloud-driven" interaction mode which focuses on fully maximising cloud computing characteristics and benefits for driving the semantic web is described; providing an approach for evolving the semantic web and delivering automated semantic annotation on a large-scale to web applications.

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confidence: 99%

Leveraging cloud computing for the semantic web: review and trends

et al. 2019

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“… Keyword‐based searching . Pendyala and Holliday proposes an intelligent mobile search model using semantic in which searching tasks will be performed on servers in a cloud. This model can analyze the meaning of a word, a phrase, or a complex multiphase to produce the results efficiently and accurately.…”

Section: Applications Of Mobile Cloud Computingmentioning

confidence: 99%

A survey of mobile cloud computing: architecture, applications, and approaches

Hoang

Lee

Niyato

et al. 2011

Wireless Communications

1,967

879

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Together with an explosive growth of the mobile applications and emerging of cloud computing concept, mobile cloud computing (MCC) has been introduced to be a potential technology for mobile services. MCC integrates the cloud computing into the mobile environment and overcomes obstacles related to the performance (e.g., battery life, storage, and bandwidth), environment (e.g., heterogeneity, scalability, and availability), and security (e.g., reliability and privacy) discussed in mobile computing. This paper gives a survey of MCC, which helps general readers have an overview of the MCC including the definition, architecture, and applications. The issues, existing solutions, and approaches are presented. In addition, the future research directions of MCC are discussed. Copyright © 2011 John Wiley & Sons, Ltd.

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“…Searching [26] The key perform of the framework is to help or encourage choosing for people on the go, WHO square measure discovering assets like retailers or restaurants. to understand this perform, its also important to incorporate learning and information from various sources and surveys of the assets needed and elective germane illumination reachable on the net.…”

Section: Related Workmentioning

confidence: 99%

A Survey of Mobile Cloud Computing for Extending Energy of Mobile Devices

Thanapal

Durai

2014

AMM

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Mobile cloud computing will wear down gaining quality among users, the researchers predicts these troubles by execution of mobile applications on application suppliers external to the mobile device. During this paper, we have a tendency to gift a wide survey of mobile cloud computing, whereas prominence the particular considerations in mobile cloud computing square measure as follows. (a) Highlights the present state in Application of cloud computing usage in real time world. (b) Identifies the problems in testing bandwidth and (c) provides a optimizing of the offloading that saves energy

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Performing Intelligent Mobile Searches in the Cloud Using Semantic Technologies

Cited by 13 publications

References 7 publications

Leveraging cloud computing for the semantic web: review and trends

Leveraging cloud computing for the semantic web: review and trends

A survey of mobile cloud computing: architecture, applications, and approaches

A Survey of Mobile Cloud Computing for Extending Energy of Mobile Devices

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