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39 Pervasive Social Context- Taxonomy and Survey
"... As pervasive computing meets social networks, there is a fast growing research field called Pervasive Social Computing. Applications in this area exploit the richness of information arising out of people using sensor-equipped pervasive devices in their everyday life combined with intense use of diff ..."
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As pervasive computing meets social networks, there is a fast growing research field called Pervasive Social Computing. Applications in this area exploit the richness of information arising out of people using sensor-equipped pervasive devices in their everyday life combined with intense use of different Social Networking Services. We call this set of information Pervasive Social Context. We provide a taxonomy to classify Pervasive Social Context along the dimensions space, time, people, and information source (STiPI) as well as commenting on the type and reason for creating such context. A survey of recent research work shows the applicability and usefulness of the taxonomy in classifying and assessing applications and systems in the area of Pervasive Social Computing. Finally, we present some research challenges in this area and illustrate how they affect the systems being surveyed.
Integrating Pervasive Middleware with Social Networks in SAPERE
"... Abstract—Any middleware for pervasive computing services has to effectively support both spatially-situated activities and social models of interactions. In this paper, we present the solution integrated in the tuple-based SAPERE middleware to tackle this problem. The idea is to exploit the graph of ..."
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Abstract—Any middleware for pervasive computing services has to effectively support both spatially-situated activities and social models of interactions. In this paper, we present the solution integrated in the tuple-based SAPERE middleware to tackle this problem. The idea is to exploit the graph of a social network along with relations deriving from spatial proximity to rule the actual topology of interactions among devices, users and services. The proposed approach can facilitate the autonomous and adaptive activities of pervasive services while accounting for both social and spatial issues, can support effective service discovery and orchestration, and can enable tackling critical privacy issues. I.
Design and Implementation of a Socially-Enhanced Pervasive Middleware
"... Abstract—Middleware infrastructures for pervasive computing, in order to be able to support services and users activities, have to deal with both spatially-situated and socially-situated interactions. In this paper we present the solution adopted in the SAPERE middleware that exploits the graph of a ..."
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Abstract—Middleware infrastructures for pervasive computing, in order to be able to support services and users activities, have to deal with both spatially-situated and socially-situated interactions. In this paper we present the solution adopted in the SAPERE middleware that exploits the graph of a social networks, and combines it with relations deriving from spatial proximity, to drive the topology of interactions among users, devices and services. This results in a middleware that facilitates the development and management of services that are adaptive to both spatial and social concerns, and can support effective service discovery and orchestration, and naturally tackles privacy issues. Keywords-pervasive middleware; social interaction; proximity I.
Decision Support using Linked, Social, and Sensor Data Research-in-Progress
"... The explosion of social and sensor data available on the Web provides both challenges and opportunities for their exploitation in contemporary decision support systems. In this paper, we propose a framework for aggregating and linking heterogeneous data from various sources and transforming them to ..."
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The explosion of social and sensor data available on the Web provides both challenges and opportunities for their exploitation in contemporary decision support systems. In this paper, we propose a framework for aggregating and linking heterogeneous data from various sources and transforming them to Linked Data. This allows reuse and integration of the produced data with other data resources enabling spatial business intelligence for various domain-specific applications. Our framework can be easily applied to aggregate and interlink data from various types of sources: legacy systems, citizen sensor data, sensor data, and open web data. This paper outlines a number of possible applications of the framework and discusses in detail an example use case where the proposed methodology facilitates identification of business opportunities in London City through analysis of various information facets including property pricing, population spending, sensor, and social data.
Cloud based Social and Sensor Data Fusion
"... Abstract—As mobile cloud computing facilitates a wide spec-trum of smart applications, the need for fusing various types of data available in the cloud grows rapidly. In particular, social and sensor data lie at the core in such applications, but typically processed separately. This paper explores t ..."
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Abstract—As mobile cloud computing facilitates a wide spec-trum of smart applications, the need for fusing various types of data available in the cloud grows rapidly. In particular, social and sensor data lie at the core in such applications, but typically processed separately. This paper explores the potential of fusing social and sensor data in the cloud, presenting a practice—a travel recommendation system that offers the predicted mood information of people on where and when users wish to travel. The system is built upon a conceptual framework that allows to blend the heterogeneous social and sensor data for integrated analysis, extracting weather-dependent people’s mood informa-tion from Twitter and meteorological sensor data streams. In order to handle massively streaming data, the system employs various cloud-serving systems, such as Hadoop, HBase, and GSN. Using this scalable system, we performed heavy ETL as well as filtering jobs, resulting in 12 million tweets over four months. We then derived a rich set of interesting findings through the data fusion, proving that our approach is effective and scalable, which can serve as an important basis in fusing social and sensor data in the cloud. I.
Lightweight Simulation Scripting with Proto...................... 1
, 2012
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‡Universita ̀ di Bologna
"... Abstract—The possibility to have millions of computational devices interconnected across urban environments opens up novel application areas. In such highly distributed scenarios, applications must gain awareness as a result of opportunistic encounters with co-located devices, a departure from tradi ..."
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Abstract—The possibility to have millions of computational devices interconnected across urban environments opens up novel application areas. In such highly distributed scenarios, applications must gain awareness as a result of opportunistic encounters with co-located devices, a departure from tradi-tional reasoning approaches. We envision situated awareness as an emergent property of such networks, where bio-inspired algorithms are employed to coordinate interactions between de-vices through managing the lifecycle, distribution, and content of data. A congestion-aware, crowd-steering example illustrates this vision. I.
On the Space-time Situation of Pervasive
"... Abstract—We focus on a coordination model for pervasive com-puting applications, tightly coupled to Semantic Web technologies to support openness and semantic reasoning. Our approach is based on the ideas of reifying the existence of services, data, and events in terms of RDF-oriented annotations ma ..."
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Abstract—We focus on a coordination model for pervasive com-puting applications, tightly coupled to Semantic Web technologies to support openness and semantic reasoning. Our approach is based on the ideas of reifying the existence of services, data, and events in terms of RDF-oriented annotations maintained by local agents, and enacting global system behaviour by ma-nipulation rules for such annotations, which resemble chemical reactions and can be seen as sequences of SPARQL queries and SPARUL updates over RDF stores. We show a minimal set of ingredients to equip this framework with space-time computing mechanisms, including reification of space-time information in terms of annotations, and a relocation service for annotations. Some examples of spatial computations in pervasive computing are given to illustrate the approach. I.
unknown title
"... www.ijacsa.thesai.org The cybercrime process: an overview of scientific challenges and methods ..."
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www.ijacsa.thesai.org The cybercrime process: an overview of scientific challenges and methods
Enhancing Recommender Systems Using Social Indicators
, 2014
"... This Thesis is brought to you for free and open access by Computer Science at CU Scholar. It has been accepted for inclusion in Computer Science ..."
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This Thesis is brought to you for free and open access by Computer Science at CU Scholar. It has been accepted for inclusion in Computer Science
