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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=android">
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  <description><![CDATA[UMBC ebiquity RSS Tag Search for android]]></description>
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      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/484/Semantic-knowledge-and-privacy-in-the-physical-web"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/479/Is-your-personal-data-at-risk-App-analytics-to-the-rescue"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/456/Energy-efficient-semantic-context-model-for-managing-privacy-on-smartphones"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/457/Energy-efficient-semantic-context-model-for-managing-privacy-on-smartphones"/>
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      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/297/Developing-applications-for-the-Android-platform"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/771/App-behavioral-analysis-using-system-calls"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/763/Capturing-policies-for-fine-grained-access-control-on-mobile-devices"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/757/Preserving-User-Privacy-and-Security-in-Context-Aware-Mobile-Platforms"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/758/Semantic-knowledge-and-privacy-in-the-physical-web"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/710/Building-a-Mobile-Applications-Knowledge-Base-for-the-Linked-Data-Cloud"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/709/Mobipedia-Mobile-Applications-Linked-Data"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/673/Rafiki-A-Semantic-and-Collaborative-Approach-to-Community-Health-care-in-Underserved-Areas"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/677/Semantics-for-Privacy-and-Shared-Context"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/666/A-Semantic-Context-Aware-Privacy-Model-for-FaceBlock"/>
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      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/265/Mobile-application-development-with-Android"/>
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 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/484/Semantic-knowledge-and-privacy-in-the-physical-web">
  <title><![CDATA[Semantic knowledge and privacy in the physical web]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/484/Semantic-knowledge-and-privacy-in-the-physical-web</link>
  <description><![CDATA[In the past few years, the Internet of Things has started to become a reality; however, its growth has been hampered by privacy and security concerns. One promising approach is to use Semantic Web technologies to mitigate privacy concerns in an informed, flexible way. We present CARLTON, a framework for managing data privacy for entities in a Physical Web deployment using Semantic Web technologies. CARLTON uses context-sensitive privacy policies to protect privacy of organizational and person...]]></description>
  <dc:date>2016-09-27</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/479/Is-your-personal-data-at-risk-App-analytics-to-the-rescue">
  <title><![CDATA[Is your personal data at risk? App analytics to the rescue]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/479/Is-your-personal-data-at-risk-App-analytics-to-the-rescue</link>
  <description><![CDATA[According to Virustotal, a prominent virus and malware tool, the Google Play Store has a few thousand apps from major malware families. Given such a revelation, access control systems for mobile data management, have reached a state of critical importance. We propose the development of a system which would help us detect the pathways using which user's data is being stolen from their mobile devices. We use a multi layered approach which includes app meta data analysis, understanding code patt...]]></description>
  <dc:date>2015-09-28</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/456/Energy-efficient-semantic-context-model-for-managing-privacy-on-smartphones">
  <title><![CDATA[Energy efficient semantic context model for managing privacy on smartphones]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/456/Energy-efficient-semantic-context-model-for-managing-privacy-on-smartphones</link>
  <description><![CDATA[Modern smartphones are capable of gathering massive amounts of data about a user and her context. While this data is mostly utilized for providing services that are better suited to the user, user data and context leakage from smart phones can have disastrous results. This is especially true as most enterprises are going to a Bring-Your-Own-Device (BYOD) model for mobile devices such as smartphones. We recognize this change as a potential threat to data privacy, both of the user and also of c...]]></description>
  <dc:date>2013-04-22</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/457/Energy-efficient-semantic-context-model-for-managing-privacy-on-smartphones">
  <title><![CDATA[Energy efficient semantic context model for managing privacy on smartphones]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/457/Energy-efficient-semantic-context-model-for-managing-privacy-on-smartphones</link>
  <description><![CDATA[Modern smartphones are capable of gathering massive amounts of data about a user and her context. While this data is mostly utilized for providing services that are better suited to the user, user data and context leakage from smart phones can have disastrous results. This is especially true as most enterprises are going to a Bring-Your-Own-Device (BYOD) model for mobile devices such as smartphones. We recognize this change as a potential threat to data privacy, both of the user and also of c...]]></description>
  <dc:date>2013-04-22</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/450/An-energy-efficient-semantic-context-model-for-managing-privacy-on-smartphones">
  <title><![CDATA[An energy efficient semantic context model for managing privacy on smartphones]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/450/An-energy-efficient-semantic-context-model-for-managing-privacy-on-smartphones</link>
  <description><![CDATA[Modern smartphones are capable of gathering massive amounts of data about a user and her context. While this data is mostly utilized for providing services that are better suited to the user, user data and context leakage from smart phones can have disastrous results. This is especially true as most enterprises are going to a Bring-Your-Own-Device (BYOD) model for mobile devices such as smartphones. We recognize this change as a potential threat to data privacy, both of the user and also of c...]]></description>
  <dc:date>2013-03-25</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/399/Context-Aware-Middleware-for-Activity-Recognition">
  <title><![CDATA[Context-Aware Middleware for Activity Recognition]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/399/Context-Aware-Middleware-for-Activity-Recognition</link>
  <description><![CDATA[Smartphones and other mobile devices have a simple notion of context largely restricted to temporal and spatial coordinates. Service providers and enterprise administrators can deploy systems incorporating activity and relations context to enhance the user experience, but this raises considerable collaboration, trust and privacy issues between different service providers. Our work is an initial step toward enabling devices themselves to represent, acquire and use a richer notion of context th...]]></description>
  <dc:date>2011-05-19</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/297/Developing-applications-for-the-Android-platform">
  <title><![CDATA[Developing applications for the Android platform]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/297/Developing-applications-for-the-Android-platform</link>
  <description><![CDATA[Mobile application development has emerged into a full-fledged development paradigm. Smart phones like iPhone and G-phone are becoming popular day by day. This has provided developers an opportunity to reach millions of people.

In the presentation, I will talk about the Android platform. I will cover the platform architecture and basic building blocks of a mobile application on Android. Then I will go through the application life-cycle and explore some APIs and the functionality provided b...]]></description>
  <dc:date>2009-04-29</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/771/App-behavioral-analysis-using-system-calls">
  <title><![CDATA[App behavioral analysis using system calls]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/771/App-behavioral-analysis-using-system-calls</link>
  <description><![CDATA[System calls provide an interface to the services made available by an operating system. As a result, any functionality provided by a software application eventually reduces to a set of fixed system calls. Since system calls have been used in literature, to analyze program behavior we made an assumption that analyzing the patterns in calls made by a mobile application would provide us insight into its behavior. In this paper, we present our preliminary study conducted with 534 mobile applicat...]]></description>
  <dc:date>2017-05-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/763/Capturing-policies-for-fine-grained-access-control-on-mobile-devices">
  <title><![CDATA[Capturing policies for fine-grained access control on mobile devices]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/763/Capturing-policies-for-fine-grained-access-control-on-mobile-devices</link>
  <description><![CDATA[As of 2016, there are more mobile devices than humans on Earth. Today, mobile devices are a critical part of our lives and often hold sensitive corporate and personal data. As a result, they are a lucrative target for attackers, and managing data privacy and security on mobile devices has become a vital issue. Existing access control mechanisms in most devices are restrictive and inadequate. They do not take into account the context of a device and its user when making decisions. In many case...]]></description>
  <dc:date>2016-11-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/757/Preserving-User-Privacy-and-Security-in-Context-Aware-Mobile-Platforms">
  <title><![CDATA[Preserving User Privacy and Security in Context-Aware Mobile Platforms]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/757/Preserving-User-Privacy-and-Security-in-Context-Aware-Mobile-Platforms</link>
  <description><![CDATA[Contemporary smartphones are capable of generating and transmitting large amounts of data about their users. Recent advances in collaborative context modeling, combined with a lack of adequate permission models for handling dynamic context sharing on mobile platforms, have led to the emergence of a new class of mobile applications that can access and share embedded sensor and context data. Most of the time, such data is used for providing tailored services to the user, but it can lead to seri...]]></description>
  <dc:date>2016-10-31</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/758/Semantic-knowledge-and-privacy-in-the-physical-web">
  <title><![CDATA[Semantic knowledge and privacy in the physical web]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/758/Semantic-knowledge-and-privacy-in-the-physical-web</link>
  <description><![CDATA[In the past few years, the Internet of Things has started to become a reality; however, its growth has been hampered by privacy and security concerns. One promising approach is to use Semantic Web technologies to mitigate privacy concerns in an informed, flexible way. We present CARLTON, a framework for managing data privacy for entities in a Physical Web deployment using Semantic Web technologies. CARLTON uses context-sensitive privacy policies to protect privacy of organizational and person...]]></description>
  <dc:date>2016-10-18</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/710/Building-a-Mobile-Applications-Knowledge-Base-for-the-Linked-Data-Cloud">
  <title><![CDATA[Building a Mobile Applications Knowledge Base for the Linked Data Cloud]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/710/Building-a-Mobile-Applications-Knowledge-Base-for-the-Linked-Data-Cloud</link>
  <description><![CDATA[The number of mobile applications (apps) in major app stores exceeded one million in 2013. While app stores provide a central point for storing app metadata, they often impose restrictions on the access to this information thus limiting the potential to develop tools to search, recommend, and analyze app information. A few projects have circumvented these limitations and managed to create a dataset with a substantial number of apps. However, accessing this information, especially for the purp...]]></description>
  <dc:date>2015-10-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/709/Mobipedia-Mobile-Applications-Linked-Data">
  <title><![CDATA[Mobipedia: Mobile Applications Linked Data]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/709/Mobipedia-Mobile-Applications-Linked-Data</link>
  <description><![CDATA[We present Mobipedia, an integrated knowledge base with information about 1 million mobile applications (apps) such as their category, meta-data (author, reviews, rating, release date), permissions and libraries used, and similar apps. The goal of Mobipedia is to integrate unstructured and semi-structured data about mobile apps from publicly available data sources and publish it as Linked Data using RDF. We describe the extraction process for facts, access mechanisms to the knowledge base, an...]]></description>
  <dc:date>2015-10-11</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/673/Rafiki-A-Semantic-and-Collaborative-Approach-to-Community-Health-care-in-Underserved-Areas">
  <title><![CDATA[Rafiki: A Semantic and Collaborative Approach to Community Health-care in Underserved Areas]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/673/Rafiki-A-Semantic-and-Collaborative-Approach-to-Community-Health-care-in-Underserved-Areas</link>
  <description><![CDATA[Community Health Workers (CHWs) act as liaisons between health-care providers and patients in underserved or un-served areas. However, the lack of information sharing and training support impedes the effectiveness of CHWs and their ability to correctly diagnose patients. In this paper, we propose and describe a system for mobile and wearable computing devices called Rafiki which assists CHWs in decision making and facilitates collaboration among them. Rafiki can infer possible diseases ...]]></description>
  <dc:date>2014-10-22</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/677/Semantics-for-Privacy-and-Shared-Context">
  <title><![CDATA[Semantics for Privacy and Shared Context]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/677/Semantics-for-Privacy-and-Shared-Context</link>
  <description><![CDATA[Capturing, maintaining, and using context information helps mobile applications provide better services and generates data useful in specifying information sharing policies. Obtaining the full benefit of context information requires a rich and expressive representation that is grounded in shared semantic models. We summarize some of our past work on representing and using context models and briefly describe Triveni, a system for cross-device context discovery and enrichment. Triveni represent...]]></description>
  <dc:date>2014-10-20</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/666/A-Semantic-Context-Aware-Privacy-Model-for-FaceBlock">
  <title><![CDATA[A Semantic Context-Aware Privacy Model for FaceBlock]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/666/A-Semantic-Context-Aware-Privacy-Model-for-FaceBlock</link>
  <description><![CDATA[Wearable computing devices like Google Glass are at the forefront of technological evolution in smart devices. The ubiquitous and oblivious nature of photography using these devices has made people concerned about their privacy in private and public settings. The Face-Block (http://face-block.me/) project protects the privacy of people around Glass users by making pictures taken by the latter, Privacy-Aware. Through sharing of privacy policies, users can choose whether or not to be included i...]]></description>
  <dc:date>2014-10-19</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/674/A-Semantic-and-Collaborative-Approach-to-Community-Health-care-in-Underserved-Areas">
  <title><![CDATA[A Semantic and Collaborative Approach to Community Health-care in Underserved Areas]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/674/A-Semantic-and-Collaborative-Approach-to-Community-Health-care-in-Underserved-Areas</link>
  <description><![CDATA[Community Health Workers (CHWs) act as liaisons between health-care providers and patients in underserved or un-served areas. However, the lack of information sharing and training support impedes the effectiveness of CHWs and their ability to correctly diagnose patients. In this paper, we propose and describe a system for mobile and wearable computing devices called Remedy which assists CHWs in decision making and facilitates collaboration among them. Remedy can infer possible diseases and tr...]]></description>
  <dc:date>2014-07-31</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/303/Collabora-ve-Data-Gathering-Using-Context-aware-Mobile-Devices">
  <title><![CDATA[Collabora've	   Data	   Gathering	   Using	    Context-­‐aware	   Mobile	   Devices]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/303/Collabora-ve-Data-Gathering-Using-Context-aware-Mobile-Devices</link>
  <description><![CDATA[The popularity of Internet-enabled mobile technology allows people to participate in many data gathering tasks such as making scientific observation, responding to regional polls, and collecting location-specific information such as parking availability and road conditions. Reaching users on their mobile devices poses challenges regarding appropriate user selection and user's state to respond to any data queries. We present a context-aware framework to support collaborative data gathering app...]]></description>
  <dc:date>1999-11-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/265/Mobile-application-development-with-Android">
  <title><![CDATA[Mobile application development with Android]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/265/Mobile-application-development-with-Android</link>
  <description><![CDATA[Mobile application development has emerged into a full-fledged development paradigm. Smart phones like iPhone and G-phone are becoming popular day by day. This has provided developers an opportunity to reach millions of people.

In the presentation, I will talk about the Android platform. I will cover the platform architecture and basic building blocks of a mobile application on Android. Then I will go through the application life-cycle and explore some APIs and the functionality provided b...]]></description>
  <dc:date>2009-04-28</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/371/UMBC-IOT-Android-client">
  <title><![CDATA[UMBC IOT Android client]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/371/UMBC-IOT-Android-client</link>
  <description><![CDATA[UMBC IoT Project Android Client
Install a latest version of the app from release list link from webpage below. In the current mode of deployment, the app will work, if you are near one of our beacons in the Information Technology and Engineering building at UMBC. If you are near one of them, you will be able to query our Knowledge Base using voice commands or through text input. It's an AMA app, enabling you to ask queries about any organization (for example UMBC).]]></description>
  <dc:date>2017-04-04</dc:date>
 </item>
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