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	This ontology document is licensed under the Creative Commons
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 <channel rdf:about="http://ebiquity.umbc.edu//tags/html/?t=social+networking">
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  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
  <link><![CDATA[http://ebiquity.umbc.edu//tags/html/?t=social+networking]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for social networking]]></description>
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      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/416/Finding-Communities-in-Social-Media"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/394/Privacy-Preservation-in-Context-Aware-Systems"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/372/Social-media-analytics"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/366/Group-Centric-Information-Sharing-Model-for-Social-Networks"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/339/Trust-and-Reputation-in-Social-Networks"/>
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      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/305/Constraining-Information-Flow-in-Social-Networks-with-Privacy-Policies"/>
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      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/244/Use-of-Context-and-Policies-in-Declarative-Networked-Systems"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/163/Community-web-and-social-networks"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/85/iConnect"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/788/Mining-social-data-to-extract-intellectual-knowledge"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/787/Intellectual-knowledge-extraction-from-online-social-data"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/544/Preserving-Privacy-in-Context-Aware-Systems"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/559/Group-recognition-in-social-networks"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/538/Privacy-Preservation-in-Context-Aware-Systems"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/537/Privacy-Preservation-in-Context-Aware-Geosocial-Networking-Applications"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/448/Delta-TFIDF-An-Improved-Feature-Space-for-Sentiment-Analysis"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/393/Enforcing-security-in-semantics-driven-policy-based-networks"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/456/On-the-Structural-Properties-of-Massive-Telecom-Call-Graphs-Findings-and-Implications"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/284/Semantic-Analytics-on-Social-Networks-Experiences-in-Addressing-the-Problem-of-Conflict-of-Interest-Detection"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/274/Constraining-Information-Flow-in-Social-Networks-with-Privacy-Policies"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/234/ICWSM-2008-Poster"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/269/Managing-the-Assured-Information-Sharing-Lifecycle"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/286/Mobile-Computing-and-Semantic-Web-Applications-in-Social-Networking"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/312/Privacy-Preservation-in-Context-Aware-Systems"/>
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 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/416/Finding-Communities-in-Social-Media">
  <title><![CDATA[Finding Communities in Social Media]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/416/Finding-Communities-in-Social-Media</link>
  <description><![CDATA[The popularity of social media sites has increased exponentially in recent years. I am investigating the potential value of collecting and analyzing data from these sites. I will be presenting a survey of the state of the art of finding communities in social media. Some of this work has taken place in the UMBC Ebiquity lab. Then, I will discuss the plans for my own work, which focuses on finding close groups of friends using the social networking site, Facebook. The goal is to use machine-lea...]]></description>
  <dc:date>2011-11-15</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/394/Privacy-Preservation-in-Context-Aware-Systems">
  <title><![CDATA[Privacy Preservation in Context-Aware Systems]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/394/Privacy-Preservation-in-Context-Aware-Systems</link>
  <description><![CDATA[Pramod Jagtap will defend his MS thesis titled "Privacy Preservation in Context-Aware Systems". 

Abstract: 
 
Recent years have seen a confluence of two major trends – the increase of mobile devices such as smart phones as the primary access point to networked information and the rise of social media platforms that connect people. Their convergence supports the emergence of a new class of context-aware geosocial networking applications. While existing systems focus mostly on location...]]></description>
  <dc:date>2011-04-27</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/372/Social-media-analytics">
  <title><![CDATA[Social media analytics]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/372/Social-media-analytics</link>
  <description><![CDATA[This week's ebiquity meeting will focus on social media and two research efforts that are part of our Relief Social Media project.

Mohit Kewalramani will present the topic that he is addressing in his MS research.  An important task in analyzing highly networked information sources like Twitter is to identify communities that are formed. A community can be defined as a group of nodes that have more links within the set than outside it. We plan to present a technique for detecting communiti...]]></description>
  <dc:date>2010-10-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/366/Group-Centric-Information-Sharing-Model-for-Social-Networks">
  <title><![CDATA[Group Centric Information Sharing Model for Social Networks]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/366/Group-Centric-Information-Sharing-Model-for-Social-Networks</link>
  <description><![CDATA[Social networking platforms like Facebook are immensely popular and help users to collaborate and share information in real time. However information sharing and privacy go hand in hand and It is very hard to define the term privacy infringement.  

Amit Mahale and Pradeep Chinnam will review G-sis,a new group centric information sharing model [1] being developed by Ravi Sandhu and colleagues. While traditional approach to information sharing focus on attaching attributes and policies to ob...]]></description>
  <dc:date>2010-09-28</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/339/Trust-and-Reputation-in-Social-Networks">
  <title><![CDATA[Trust and Reputation in Social Networks]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/339/Trust-and-Reputation-in-Social-Networks</link>
  <description><![CDATA[Trust is a statement (or prediction of reliance) about what is otherwise unknown or uncertain -- for example, because it is far away, cannot be verified, or is in the future. Trust is pervasive and beneficial in complex social systems. It can be built from direct interactions between the source party (truster) and the target (trustee). However, in large open systems, it is infeasible for each party to have a direct basis for trusting another party. Therefore, the participants in an open syste...]]></description>
  <dc:date>2010-03-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/331/Mobile-Computing-and-Semantic-Web-Applications-in-Social-Networking">
  <title><![CDATA[Mobile Computing and Semantic Web : Applications in Social Networking]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/331/Mobile-Computing-and-Semantic-Web-Applications-in-Social-Networking</link>
  <description><![CDATA[In this week's Ebiquity Lab meeting Tejas Lagvankar will talk about "Mobile Computing and Semantic Web : Applications in Social Networking"



Description : Tejas is going to talk about the use of mobile computing and semantic web techniques in today's social networking scenarios. He will then talk of "survey" type of applications that can be built using these techniques. As an example, he will focus on field surveys in the bio-diversity domain and give a brief overview of the SPIRE proje...]]></description>
  <dc:date>2009-11-24</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/305/Constraining-Information-Flow-in-Social-Networks-with-Privacy-Policies">
  <title><![CDATA[Constraining Information Flow in Social Networks with Privacy Policies]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/305/Constraining-Information-Flow-in-Social-Networks-with-Privacy-Policies</link>
  <description><![CDATA[MS Thesis Defense
Online social networking systems are a phenomenon that has grown exponentially over the past few years. These systems provide platforms for people to easily share information, especially about themselves and about their interests.  With the recent emergence of geolocation technologies, social networking can allow users to interact relative to location and time. Most systems began with few or no privacy controls and have gradually been adding and enhancing them to meet the ...]]></description>
  <dc:date>2009-08-10</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/247/Communities-in-Social-Media-An-Eyepiece-into-Context-User-Intention-and-Influence">
  <title><![CDATA[Communities in Social Media: An Eyepiece into Context, User Intention and Influence]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/247/Communities-in-Social-Media-An-Eyepiece-into-Context-User-Intention-and-Influence</link>
  <description><![CDATA[Communities are central to online social media systems and detecting their structure and membership is critical for many applications. In this talk, I will discuss some of our recent research on both identifying communities and analyzing their content. We leverage the special properties of Social Media data to analyze the communities in an attempt to understand user intentions, context and influence.

 Community detection techniques can be computationally expensive. An approach to reducing ...]]></description>
  <dc:date>2008-06-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/244/Use-of-Context-and-Policies-in-Declarative-Networked-Systems">
  <title><![CDATA[Use of Context and Policies in Declarative Networked Systems]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/244/Use-of-Context-and-Policies-in-Declarative-Networked-Systems</link>
  <description><![CDATA[Use of Context and Policies in Declarative Networked Systems
PhD Dissertation proposal
Palanivel Kodeswaran
3:30pm 20  May 2008, ITE 325 ;

There is a growing diversity in the range of emerging network
applications such as social networking, online multiplayer games
etc.  and their expected network sup- port. Similarly, there is a
growing diversity in the properties and capabilities of the
underlying physical layer technologies ranging from copper wires,
optical fibers, and wireless...]]></description>
  <dc:date>2008-05-20</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/163/Community-web-and-social-networks">
  <title><![CDATA[Community web and social networks]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/163/Community-web-and-social-networks</link>
  <description><![CDATA[Yutaka
Matsuo and Hideaki
Takeda will discuss their work on supporting communitys
on the Web.


The Web is not used just for information publishing but also
communication.  We model web as an infrastructure to support
human activities on information and communication, i.e.,
community web. In order to explore this concept, we are
investigating various possibilities of web from extension of
weblog to web mining.

We introduce social network extraction from the Web and its
applicat...]]></description>
  <dc:date>2006-07-13</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/85/iConnect">
  <title><![CDATA[iConnect]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/85/iConnect</link>
  <description><![CDATA[UMBC iConnect 
 iConnect ranked 6th in AT&T Big Mobile On Campus Challenge
iConnect is a web application for mobile devices, based on mashup architecture, 
the content is fetched from the multiple sources : university news feeds and  events information, geolocation data of events on google map, 
user's interests, activities and friends list in the facebook profile and the 'friendfeed' updates.

iConnect demonstrates following features:

personalised privacy sensitive news	- personalis...]]></description>
  <dc:date>2008-06-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/788/Mining-social-data-to-extract-intellectual-knowledge">
  <title><![CDATA[Mining social data to extract intellectual knowledge]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/788/Mining-social-data-to-extract-intellectual-knowledge</link>
  <description><![CDATA[Social data mining is an interesting phe-nomenon which colligates different sources of social data to extract information. This information can be used in relationship prediction, decision making, pat-tern recognition, social mapping, responsibility distri-bution and many other applications. This paper presents a systematical data mining architecture to mine intellectual knowledge from social data. In this research, we use social networking site facebook as primary data source. We collect dif...]]></description>
  <dc:date>2012-09-04</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/787/Intellectual-knowledge-extraction-from-online-social-data">
  <title><![CDATA[Intellectual knowledge extraction from online social data]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/787/Intellectual-knowledge-extraction-from-online-social-data</link>
  <description><![CDATA[Social data mining is an interesting phenomenon which colligates different sources of social data to extract information. This information can be used in relationship prediction, decision making, pattern recognition, social mapping, responsibility distribution and many other applications. This paper presents a systematical data mining architecture to mine intellectual knowledge from social data. In this research, we use social networking site facebook as primary data source. We collect differ...]]></description>
  <dc:date>2012-05-18</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/544/Preserving-Privacy-in-Context-Aware-Systems">
  <title><![CDATA[Preserving Privacy in Context-Aware Systems]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/544/Preserving-Privacy-in-Context-Aware-Systems</link>
  <description><![CDATA[Recent years have seen a confluence of two major trends – the increase of mobile devices such as smart phones as the primary access point to networked information and the rise of social media platforms that connect people. Their convergence supports the emergence of a new class of context-aware geosocial networking applications. While existing systems focus mostly on location, our work centers on models for representing and reasoning about a more inclusive and higher-level notion of context...]]></description>
  <dc:date>2011-10-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/559/Group-recognition-in-social-networks">
  <title><![CDATA[Group recognition in social networks]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/559/Group-recognition-in-social-networks</link>
  <description><![CDATA[Recent years have seen an exponential growth in the use of social networking
systems, enabling their users to easily share information with their connections. A
typical Facebook user, as an example, might have 300-400 connections that include
relatives, friends, business associates and casual acquaintances. Sharing information
with such a large and diverse set of people without violating social norms or privacy
can be challenging. Allowing users to define groups and restrict information ...]]></description>
  <dc:date>2011-06-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/538/Privacy-Preservation-in-Context-Aware-Systems">
  <title><![CDATA[Privacy Preservation in Context Aware Systems]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/538/Privacy-Preservation-in-Context-Aware-Systems</link>
  <description><![CDATA[Recent years have seen a confluence of two major trends – the increase of mobile devices such as smart phones as the primary access point to networked information and the rise of social media platforms that connect people. Their convergence supports the emergence
of a new class of context-aware geosocial networking applications. While existing systems focus mostly on location, our work centers on models for representing and reasoning about a more inclusive and higher-level notion of contex...]]></description>
  <dc:date>2011-05-05</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/537/Privacy-Preservation-in-Context-Aware-Geosocial-Networking-Applications">
  <title><![CDATA[Privacy Preservation in Context Aware Geosocial Networking Applications]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/537/Privacy-Preservation-in-Context-Aware-Geosocial-Networking-Applications</link>
  <description><![CDATA[Recent years have seen a confluence of two major trends -
the increase of mobile devices such as smart phones as the
primary access point to networked information and the rise
of social media platforms that connect people. Their convergence
supports the emergence of a new class of context-aware
geo-social networking applications. While existing systems
focus mostly on location, our work centers on models
for representing and reasoning about a more inclusive and
higher-level notion of ...]]></description>
  <dc:date>2011-05-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/448/Delta-TFIDF-An-Improved-Feature-Space-for-Sentiment-Analysis">
  <title><![CDATA[Delta TFIDF: An Improved Feature Space for Sentiment Analysis]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/448/Delta-TFIDF-An-Improved-Feature-Space-for-Sentiment-Analysis</link>
  <description><![CDATA[Mining opinions and sentiment from social networking sites is a popular application for social media systems. Common approaches use a machine learning system with a bag of words feature set. We present Delta TFIDF, an intuitive general purpose technique to efficiently weight word scores before classification. Delta TFIDF is easy to compute, implement, and understand. We use Support Vector Machines to show that Delta TFIDF significantly improves accuracy for sentiment analysis problems using t...]]></description>
  <dc:date>2009-05-17</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/393/Enforcing-security-in-semantics-driven-policy-based-networks">
  <title><![CDATA[Enforcing security in semantics driven policy based networks]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/393/Enforcing-security-in-semantics-driven-policy-based-networks</link>
  <description><![CDATA[Security is emerging as an important requirement for a number of distributed applications such as online banking, social networking etc. due to the private nature of the data being involved. Further more, the wide spread use of portable devices such as laptops, PDAs etc. allows users to make meaningful ad hoc collaborations. Traditional security solutions are not feasible for these scenarioes due to the varying nature of the collaborations in terms of entities involved and their roles, availa...]]></description>
  <dc:date>2008-04-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/456/On-the-Structural-Properties-of-Massive-Telecom-Call-Graphs-Findings-and-Implications">
  <title><![CDATA[On the Structural Properties of Massive Telecom Call Graphs: Findings and Implications]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/456/On-the-Structural-Properties-of-Massive-Telecom-Call-Graphs-Findings-and-Implications</link>
  <description><![CDATA[With ever growing competition in telecommunications markets, operators have to increasingly rely on business intelligence to offer the right incentives to their customers. Toward this end, existing approaches have almost solely focussed on the individual behaviour of customers. Call graphs, that is, graphs induced by people calling each other, can allow telecom operators to better understand the interaction behaviour of their customers, and potentially provide major insights for designing eff...]]></description>
  <dc:date>2006-11-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/284/Semantic-Analytics-on-Social-Networks-Experiences-in-Addressing-the-Problem-of-Conflict-of-Interest-Detection">
  <title><![CDATA[Semantic Analytics on Social Networks: Experiences in Addressing the Problem of Conflict of Interest Detection]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/284/Semantic-Analytics-on-Social-Networks-Experiences-in-Addressing-the-Problem-of-Conflict-of-Interest-Detection</link>
  <description><![CDATA[In this paper, we describe a Semantic Web application that detects Conflict of Interest relationships among potential reviewers and authors of scientific papers. This application discovers various "semantic associations" between the reviewers and authors in a populated ontology to determine a degree of Conflict of Interest.  This ontology is built by integrating entities and relationships from two social networks, namely 'knows' from a FOAF (Friendof- a-Friend) social network, and 'co-author'...]]></description>
  <dc:date>2006-05-23</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/274/Constraining-Information-Flow-in-Social-Networks-with-Privacy-Policies">
  <title><![CDATA[Constraining Information Flow in Social Networks with Privacy Policies]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/274/Constraining-Information-Flow-in-Social-Networks-with-Privacy-Policies</link>
  <description><![CDATA[Online social networking systems are a phenomenon that has grown exponentially over the past few years. These systems provide platforms for people to easily share information, especially about themselves and about their interests. With the recent emergence of geolocation technologies, social networking can allow users to interact relative to location and time. Most systems began with few or no privacy controls and have gradually been adding and enhancing them to meet the demands of their user...]]></description>
  <dc:date>2009-08-10</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/234/ICWSM-2008-Poster">
  <title><![CDATA[ICWSM 2008 Poster]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/234/ICWSM-2008-Poster</link>
  <description><![CDATA[The Second International Conference on Weblogs and Social Media will be helpd  March 31 - April 2 2008 in  Seattle.  

See http://www.icwsm.org/2008/]]></description>
  <dc:date>2007-07-22</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/269/Managing-the-Assured-Information-Sharing-Lifecycle">
  <title><![CDATA[Managing the Assured Information Sharing Lifecycle]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/269/Managing-the-Assured-Information-Sharing-Lifecycle</link>
  <description><![CDATA[We live in the information age, a time when data and knowledge is plentiful and easily moved, processed and mined by machines. This has made it easier to discover knowledge and more efficiently manage our affairs but has raised concerns about information security, confidentiality, privacy and trust.  Balancing these is particularly urgent today in organizations responsible for national defense, law enforcement, health care, emergency services and finance.  The 9/11 Commission addressed this i...]]></description>
  <dc:date>2009-06-08</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/286/Mobile-Computing-and-Semantic-Web-Applications-in-Social-Networking">
  <title><![CDATA[Mobile Computing and Semantic Web : Applications in Social Networking]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/286/Mobile-Computing-and-Semantic-Web-Applications-in-Social-Networking</link>
  <dc:date>2009-11-24</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/312/Privacy-Preservation-in-Context-Aware-Systems">
  <title><![CDATA[Privacy Preservation in Context-Aware Systems]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/312/Privacy-Preservation-in-Context-Aware-Systems</link>
  <description><![CDATA[Recent years have seen a confluence of two major trends – the increase of mobile devices such as smart phones as the primary access point to networked information and the rise of social media platforms that connect people. Their convergence supports the emergence of a new class of context-aware geosocial networking applications. While existing systems focus mostly on location, our work centers on models for representing and reasoning about a more inclusive and higher-level notion of context...]]></description>
  <dc:date>2011-04-27</dc:date>
 </item>
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