The Context-Aware Browser

Coppola, Paolo; Mea, Vincenzo Della; Gaspero, Luca Di; Menegon, Davide; Mischis, Danny; Mizzaro, Stefano; Scagnetto, Ivan; Vassena, Luca

doi:10.1109/mis.2010.26

Cited by 40 publications

(12 citation statements)

References 7 publications

(3 reference statements)

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“…There are investigations striving to improve the system structure of browsers shipped on the mobile devices to integrate the context information in information retrieval. Coppola et al (2010) proposed a context-aware browser to handle context with a two-stage inferential mechanism combining rules and Bayesian Network (BN). The weakness of this system lies in the limited models, which rely on rigid categorisation built on ontologies and strict terminologies.…”

Section: Context-aware Mobile Applications -Taxonomy and Discussionmentioning

confidence: 99%

Investigation of a hierarchical context-aware architecture for rule-based customisation of mobile computing service

Meng

2014

Journal of Ambient Intelligence and Smart Environments

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The continuous technical progress in mobile device built-in modules and embedded sensing techniques creates opportunities for context-aware mobile applications. The context-aware computing paradigm exploits the relevant context as implicit input to characterise the user and physical environment and provide a computing service customised to the contextual situation. However, heterogeneity in techniques, complexity of contextual situation, and gap between raw sensor data and usable context keep the techniques from truly integration for extensive use. Studies in this area mainly focus on feasibility demonstration of the emerging techniques, and they lack general architecture support and appropriate service customisation strategy. This investigation aims to provide general system architecture and technical approaches to deal with the heterogeneity problem and efficiently utilise the dynamic context towards proactive computing service that is customised to the contextual situation. The main efforts of this investigation are the approaches to gathering, handling, and utilising the dynamic context information in an efficient way and the decision making and optimisation methods for computing service customisation. In brief, the highlights of this thesis cover the following aspects: (1) a hierarchical context-aware computing architecture supporting interoperable distribution and further use of context; (2) an in-depth analysis and classification of context and the corresponding context acquisition methods; (3) context modelling and context data representation for efficient and interoperable use of context; (4) a rulebased service customisation strategy with a rule generation mechanism to supervise the service customisation. In addition, feasibility demonstration of the proposed system and contribution justification of this investigation are conducted through case studies and prototype implementations. One case study uses mobile built-in sensing techniques to improve the usability and efficiency of mobile applications constrained by resource limitation, and the other employs the mobile terminal and embedded sensing techniques to predict users' expectations for home facility automatic control. Results demonstrate the feasibility of the proposed context handling architecture and service customisation methods. It shows great potential for employing the context of the computing environment for context-aware adaptation in pervasive and mobile applications but also indicates some underlying problems for further study.

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Section: Context-aware Mobile Applications -Taxonomy and Discussionmentioning

confidence: 99%

Investigation of a hierarchical context-aware architecture for rule-based customisation of mobile computing service

Meng

2014

Journal of Ambient Intelligence and Smart Environments

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“…Indeed, it would be better if the web browser could foresee the information needs of the user and automatically provide related web pages, without requiring an explicit user interaction. This is precisely the idea of Coppola et al [46]: capitalising on their previous experience with the above mentioned MoBe framework, they introduce the concept of a Context-Aware Browser (CAB), which is capable of inferring and exploiting the current context and "push" related web contents to the user. More precisely, the CAB architecture is a three-layers software: (i) the bottom layer handles the sensors and inferential network, sends contextual queries to ad-hoc servers, and filters the web content descriptors received in response from such servers, (ii) the middle layer works as a bridge, and (iii) the top layer manages user interaction, leveraging on an AJAX-based engine.…”

Section: Defining Contextmentioning

confidence: 99%

From IR to Mobile IR

Crestani

Mizzaro

Scagnetto

2017

Mobile Information Retrieval

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https://adwords.googleblog.com/2015/05/building-for-next-moment. html * The use of the word "mainly" here indicates that the boundary between the two areas is becoming fuzzy, with some IR systems working in a more deterministic way and DB systems working in a more probabilistic or "uncertainty conscious" fashion. * The semantic meaning of different words is inferred using a deep learning technique named word2vec, https://code.google.com/p/word2vec/.† https://code.google.com/p/androguard/ * trec.nist.gov † research.nii.ac.jp/ntcir/index-en.html ‡ https://sites.google.com/site/treccontext/

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“…The users can specify contexts of interests before viewing search results and no structural and hierarchical information are used. Sometimes user need not give keyword to initiate the search, e.g., in (Coppola et al, 2010), according to the environment variables, contexts are selected automatically. Results are retrieved for the set of predefined query based on the corresponding context.…”

Section: Related Workmentioning

confidence: 99%

A Context-Based Technique Using Tag-Tree for an Effective Retrieval From a Digital Literature Collection

Thangaraj

2013

Journal of Computer Science

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The increasing growth of information in online digital libraries causes an increasing need to develop techniques to retrieve. In the digital library, findability-finding the user required information is a hectic task than those of usability. The major issues in findability are (a) topic diffusion: results of a traditional keyword based search, often leads to multiple topic areas, some of which are not interested to user; (b) lack of scoring mechanism: at present, digital libraries lack effective and accurate publication rankings. Thus the users are forced to scan a large result set, which leads them to miss the important ones; providing accurate publication scores can help users in reducing the time spent in searching and (c) selecting search keywords: users spend more time to choose their search keywords, which will express their information need. This study proposes TAG, a new context based retrieval technique that controls the topic diversity and overcomes the above mentioned issues effectively. Using IEEE publications as the test bed and IEEE thesaurus terms as context, our experiments indicate that the proposed retrieval technique effectively produces output results and considerably reduces the resultant set.

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The Context-Aware Browser

Abstract: The Context-Aware Browser for mobile devices senses the surrounding environment,\ud infers the user’s current context, and proactively searches for and activates relevant Web documents and applications

Cited by 40 publications

References 7 publications

Investigation of a hierarchical context-aware architecture for rule-based customisation of mobile computing service

Investigation of a hierarchical context-aware architecture for rule-based customisation of mobile computing service

From IR to Mobile IR

A Context-Based Technique Using Tag-Tree for an Effective Retrieval From a Digital Literature Collection

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