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      <title-group>
        <article-title>u-Community Manager based on Social Networks for User-Centric Community in USS</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Jonghyun Han</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Woontack Woo</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Member</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>This research is supported by the UCN Project, the MIC 21c Frontier R&amp;D Program in</institution>
          <country country="KR">Korea</country>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2007</year>
      </pub-date>
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    <sec id="sec-1">
      <title>-</title>
      <p>Iprovided with convenient services by widespread computing</p>
      <p>N the ubiquitous computing environment, users can be
resources in their daily life. In order to do this, the technology is
required which groups environmental computing resources into
collaborative organizations efficiently. To support
collaboration among multiple users and services, community
computing concept is popular research area. In case of existing
related works, they mainly support compositions of only one
kind of member types in the ubiquitous computing environment.
They cannot provide social networks models which are
applicable to relations on same or different smart objects types
[1]. In this paper, to make up for the weak points in existing
researches, we propose u-Community Manager which supports
various community constituent elements using context
information. It extracts interrelated community members by
social relationships among smart objects. The proposed
u-Community Manager can reconfigure community
dynamically by smart objects’ behavior changes. We can
experience an advantage of ubiquitous smart space which build
collaborative environment, and interact with various smart
objects easily, using proposed u-Community Manager.</p>
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    <sec id="sec-2">
      <title>II. U-COMMUNITY MANAGER</title>
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    <sec id="sec-3">
      <title>In this paper, we re-define a community be appropriate for</title>
      <p>ubiquitous smart space. User centric community's goal is
intention or interest of users who are main body in ubiquitous
computing environment. Its creation, maintenance and
extinction are determined by the subject user's behavior.
Community contains users or user groups located in the
environment, devices which executed to achieve user's
intention, services, and contents as members. It is a particular
feature of user centric community. In other words, user centric
community is a virtual collaborative collection consisting of
users and smart objects to achieve the user's interest. In our
point of view, users with mobile device are special case of
smart object. Figure 1 shows an example of user centric
community. There are multiple communities and its subject is
the user. It can include smart objects into community members,
for example, virtual characters and network devices.
Additionally, there are some relationships between community
members even if the types are different. We can use those kinds
of relations to extract community members and set properties.
B. u-Community Manager</p>
    </sec>
    <sec id="sec-4">
      <title>To support proposed user centric community defined in this</title>
      <p>thesis, we propose u-Community Manager which can be
applied in ubiquitous smart space. This proposed u-Community
Manager is used commonly in each smart object. It uses same
interface like user centric context model (5W1H) and network
protocol, so, it supports seamless interactions between different
types of smart object. Figure 2 shows the architecture of
u-Community Manager. The proposed u-Community Manager
consists of 4 components: Understanding user’s intention and
interest part from user centric context information, smart
objects’ context Monitoring part, social networks configuration
part and community members and goal setup part.</p>
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