A Framework for Ubiquitous Content Sharing

Kröner, Alexander; Schneider, Michael; Mori, Junichiro

doi:10.1109/mprv.2009.65

Cited by 8 publications

(5 citation statements)

References 12 publications

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“…It is defined as a framework to share information (i.e., context) of the users between different applications and/or other users [48] . SharedLife acquires the context from various sources related to a user and stores it in a set of knowledge about the specific user.…”

Section: Sharedlifementioning

confidence: 99%

Context information sharing for the Internet of Things: A survey

et al. 2020

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Section: Sharedlifementioning

confidence: 99%

Context information sharing for the Internet of Things: A survey

et al. 2020

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“…In a more technical sense, the data set of life logging is referred to as e-memory. Based on Kröner et al's [7] suggestion, here we categorize digital memories into personal, community and object memory [14]. The personal memory is the result of life logging that targets a single user, while the community memory is the result of life logging that collects and creates a digital memory from a group of users.…”

Section: Forewordmentioning

confidence: 99%

Theme issue on electronic memories and life logging

Rawassizadeh

Wac

Tomitsch

2012

Pers Ubiquit Comput

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In 1945, Vannevar Bush described an imaginary device, which he called Memex in his famous article called ''As We May Think'' [13]. He envisioned the device to be able to record and link books read, microfilms watched and other personal archives. Today, in the era of digital technology, Bush's visionary article can be seen as the first effort toward establishing the field of life logging. A system or tool that can digitally sense people's state and contextual information in a continuous manner and record this information for long-term access is therefore often referred to as life-log tool. Life-logs can benefit users in many ways. For instance, it has been shown that life-logs augment the user's memory [12], and there are tools developed for this purpose [8]. Life-logs can further be used to record information about oneself, which can benefit people with learning [1, 2], psychological studies [15], user modeling and personali-zation [4, 6] , social studies [3], historical studies, story telling [4, 11] and health monitoring [5, 9, 10]. To date, there are only few life-log tools with very restricted features available on the market. This means there is an opportunity for advancing the field and revealing the benefits of life logging through research and commercial efforts toward building and better understanding the value of life-logs. Recent advances in sensor networks, pervasive computing , communications and storage technologies enable us to sense and collect information about our life events digitally. The process of logging individuals' experiences is not limited to personal information: it can also be extended to recording community experiences and their online activities. It can be expected that in the near future, life logging systems and electronic memories are going to have significant impacts on our lives, perhaps even similar to the revolution brought by the Internet and mobile phones. Digital or electronic memories are records built up as a result of life logging processes. In a more technical sense, the data set of life logging is referred to as e-memory. Based on Kröner et al.'s [7] suggestion, here we categorize digital memories into personal, community and object memory [14]. The personal memory is the result of life logging that targets a single user, while the community memory is the result of life logging that collects and creates a digital memory from a group of users. In other words, one can refer to community memory as a collection of personal memories, yet community memory is mostly concentrated on one or a few data sources, such as only twitter posts. However, the community memory is not necessarily restricted to a community behavior, but it could be used to reveal personal information about each person in that target community. There are no specific borders between the personal, community and object memory categories, and sometime research endeavors can fall into more than one category.

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“…SharedLife is introduced as a generic and reusable content-sharing framework. It collects data from a variety of sensors, stores the information as a set of semantic knowledge models for the user's digital memory, and enables the user to share these memories with others [5]. MyWorld is a context-aware and social networking application.…”

Section: Related Workmentioning

confidence: 99%

Bayesian Network-Based High-Level Context Recognition for Mobile Context Sharing in Cyber-Physical System

Park

Cho

2011

International Journal of Distributed Sensor Networks

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With the recent proliferation of smart phones, they become useful tools to implement high-confidence cyber-physical systems. Among many applications, context sharing systems in mobile environment attract attention with the popularization of social media. Mobile context sharing systems can share more information than web-based social network services because they can use a variety of information from mobile sensors. To share high-level contexts such as activity, emotion, and user relationship, a user had to annotate them manually in previous works. This paper proposes a mobile context sharing system that can recognize high-level contexts automatically by using Bayesian networks based on mobile logs. We have developed a ContextViewer application which consists of a phonebook and a map browser to show the feasibility of the system. Experiments of evaluating Bayesian networks and performing the SUS test confirm that the proposed system is useful.

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A Framework for Ubiquitous Content Sharing

Cited by 8 publications

References 12 publications

Context information sharing for the Internet of Things: A survey

Context information sharing for the Internet of Things: A survey

Theme issue on electronic memories and life logging

Bayesian Network-Based High-Level Context Recognition for Mobile Context Sharing in Cyber-Physical System

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