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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=privacy+policies">
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  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
  <link><![CDATA[http://ebiquity.umbc.edu//tags/html/?t=privacy+policies]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for privacy policies]]></description>
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      <rdf:li resource="http://ebiquity.umbc.edu/conference/html/id/12/First-Workshop-on-Pervasive-Security-Privacy-and-Trust-PSPT-"/>
      <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/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"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/450/An-energy-efficient-semantic-context-model-for-managing-privacy-on-smartphones"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/305/Constraining-Information-Flow-in-Social-Networks-with-Privacy-Policies"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/66/Security-Trust-and-Privacy-in-Pervasive-Computing"/>
      <rdf:li resource="http://ebiquity.umbc.edu/getnews/html/id/39/From-Need-to-Know-to-Need-to-Share-"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/105/ALDA-Automated-Legal-Document-Analytics"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/107/Data-Privacy-management-using-Policy-compliant-Blockchain-structures"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/99/Policy-Compliant-Integration-of-Linked-Data"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1173/GenAIPABench-A-Benchmark-for-Generative-AI-based-Privacy-Assistants"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1079/A-Study-of-the-Landscape-of-Privacy-Policies-of-Smart-Devices"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1156/Privacy-Preserving-Data-Sharing-in-Agriculture-Enforcing-Policy-Rules-for-Secure-and-Confidential-Data-Synthesis"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1127/IoT-Reg-A-Comprehensive-Knowledge-Graph-for-Real-Time-IoT-Data-Privacy-Compliance"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1111/Ensuring-Privacy-Policy-Compliance-of-Wearables-with-IoT-Regulations"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/998/A-BERT-Based-Approach-to-Measure-Web-Services-Policies-Compliance-With-GDPR"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/993/The-Effect-of-Text-Ambiguity-on-creating-Policy-Knowledge-Graphs"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/989/Analyzing-GDPR-compliance-in-Cloud-Services-privacy-policies-using-Textual-Fuzzy-Interpretive-Structural-Modeling-TFISM-"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/992/A-Policy-Driven-Approach-to-Secure-Extraction-of-COVID-19-Data-From-Research-Papers"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/961/Measuring-Semantic-Similarity-across-EU-GDPR-Regulation-and-Cloud-Privacy-Policies"/>
      <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/349/Context-Aware-Privacy-Policies-in-Mobile-and-Social-Computing"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/370/Ontology-for-Data-Privacy-Policy"/>
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 </channel>
 <item rdf:about="http://ebiquity.umbc.edu/conference/html/id/12/First-Workshop-on-Pervasive-Security-Privacy-and-Trust-PSPT-">
  <title><![CDATA[First Workshop on Pervasive Security, Privacy and Trust (PSPT)]]></title>
  <link>http://ebiquity.umbc.edu/conference/html/id/12/First-Workshop-on-Pervasive-Security-Privacy-and-Trust-PSPT-</link>
  <description><![CDATA[First Workshop on Pervasive Security, Privacy and Trust (PSPT)
in Conjunction with MobiQuitous 2004
August 26, 2004
http://www.pspt.org/





Information assurance, security and privacy have moved from narrow topics of
interest to information system designers to become critical issues of
fundamental importance to society. As part of this shift, the scope of
associated problems, applications, and technical issues is broadening,
opening up new requirements and approaches. Challenge...]]></description>
  <dc:date>2004-08-26</dc:date>
 </item>
 <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/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/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/66/Security-Trust-and-Privacy-in-Pervasive-Computing">
  <title><![CDATA[Security, Trust and Privacy in Pervasive Computing]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/66/Security-Trust-and-Privacy-in-Pervasive-Computing</link>
  <description><![CDATA[New models of distributed communication and computation are being
introduced, leading to distributed systems that are *open* in that they do
not pre-identify a set of known participants, and *dynamic* in that the
participants change regularly, and not just due to occasional failures.
Pervasive Computing systems are an obvious instance of such environments, as
are Web Services. It is interesting to note that this evolution is occurring
at several levels -- communication, infrastructure a...]]></description>
  <dc:date>2004-10-26</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/getnews/html/id/39/From-Need-to-Know-to-Need-to-Share-">
  <title><![CDATA[From 'Need to Know’ to ‘Need to Share’:]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/39/From-Need-to-Know-to-Need-to-Share-</link>
  <description><![CDATA[From 'Need to Know’ to ‘Need to Share’: UMBC to Lead Six Campus-Team to Turn 9-11 Commission Intel-Sharing Reforms into Technology System

$7.5-million, Five-Year DoD Grant Partners UMBC With Purdue, Michigan, Illinois, Others

CONTACT: Chip Rose, UMBC News, 
410-455-5793, 
crose@umbc.edu


A six-campus team of computer scientists led by UMBC has been awarded a $7.5 million, five-year grant from the Department of Defense to turn the 9-11 Commission’s recommendations for bette...]]></description>
  <dc:date>2008-04-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/105/ALDA-Automated-Legal-Document-Analytics">
  <title><![CDATA[ALDA: Automated Legal Document Analytics]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/105/ALDA-Automated-Legal-Document-Analytics</link>
  <description><![CDATA[There has been an exponential growth in use of digitized legal documents in recent years. Majority of services on the Internet have associated legal documents such as Terms of Services, Privacy Policies and Service Level agreements. A large corpus of court cases, judgments and compliance/regulations are now digitally available for e-discovery. Moreover, businesses are maintaining large data sets of legal contracts that they have signed with their employees, customers and contractors. Furtherm...]]></description>
  <dc:date>2014-06-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/107/Data-Privacy-management-using-Policy-compliant-Blockchain-structures">
  <title><![CDATA[Data Privacy management using Policy compliant Blockchain structures]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/107/Data-Privacy-management-using-Policy-compliant-Blockchain-structures</link>
  <description><![CDATA[An important requirement of any information management system is to protect data and resources against leak or improper modifications, while at the same time ensure data availability to legitimate users. Moreover, systems handling personal data must also track its provenance and be regularly audited to comply with regulations. By assuring auditable, privacy policy compliant actions, we can also guarantee that areas where privacy policies have been technically enforced are highlighted.

As p...]]></description>
  <dc:date>2016-02-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/99/Policy-Compliant-Integration-of-Linked-Data">
  <title><![CDATA[Policy Compliant Integration of Linked Data]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/99/Policy-Compliant-Integration-of-Linked-Data</link>
  <description><![CDATA[Tim Finin and Anupam Joshi have received a $400,000 research award from the NSF Secure and Trustworthy  Cyberspace (SaTC) program  for a three year project to investigate how to better manage security and privacy constraints while querying semantically annotated linked data sources.  The project, Policy Compliant Integration of Linked Data, is a collaboration with researchers at M.I.T. and the University of Texas at Dallas.

The ubiquity of computing technology and the Internet have created...]]></description>
  <dc:date>2012-08-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1173/GenAIPABench-A-Benchmark-for-Generative-AI-based-Privacy-Assistants">
  <title><![CDATA[GenAIPABench: A Benchmark for Generative AI-based Privacy Assistants]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1173/GenAIPABench-A-Benchmark-for-Generative-AI-based-Privacy-Assistants</link>
  <description><![CDATA[Website privacy policies are often lengthy and intricate. Privacy assistants help simplify policies and make them more accessible and user-friendly. The emergence of generative AI (genAI) offers new opportunities to build privacy assistants that can answer users’ questions about privacy policies. However, genAI’s reliability is a concern due to its potential for producing inaccurate information. This study introduces GenAIPABench, a benchmark for evaluating Generative AI-based Privacy Ass...]]></description>
  <dc:date>2024-07-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1079/A-Study-of-the-Landscape-of-Privacy-Policies-of-Smart-Devices">
  <title><![CDATA[A Study of the Landscape of Privacy Policies of Smart Devices]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1079/A-Study-of-the-Landscape-of-Privacy-Policies-of-Smart-Devices</link>
  <description><![CDATA[As the adoption of smart devices continues to permeate all aspects of our lives, concerns surrounding user privacy have become more pertinent than ever before. While privacy policies define the data management practices of their manufacturers, previous work has shown that they are rarely read and understood by users. Hence, automatic analysis of privacy policies has been shown to help provide users with appropriate insights. Previous research has extensively analyzed privacy policies of websi...]]></description>
  <dc:date>2023-12-23</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1156/Privacy-Preserving-Data-Sharing-in-Agriculture-Enforcing-Policy-Rules-for-Secure-and-Confidential-Data-Synthesis">
  <title><![CDATA[Privacy-Preserving Data Sharing in Agriculture: Enforcing Policy Rules for Secure and Confidential Data Synthesis]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1156/Privacy-Preserving-Data-Sharing-in-Agriculture-Enforcing-Policy-Rules-for-Secure-and-Confidential-Data-Synthesis</link>
  <description><![CDATA[Big Data empowers the farming community with the information needed to optimize resource usage, increase productivity, and enhance the sustainability of agricultural practices. The use of Big Data in farming requires the collection and analysis of data from various sources such as sensors, satellites, and farmer surveys. While Big Data can provide the farming community with valuable insights and improve efficiency, there is significant concern regarding the security of this data as well as th...]]></description>
  <dc:date>2023-12-18</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1127/IoT-Reg-A-Comprehensive-Knowledge-Graph-for-Real-Time-IoT-Data-Privacy-Compliance">
  <title><![CDATA[IoT-Reg: A Comprehensive Knowledge Graph for Real-Time IoT Data Privacy Compliance]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1127/IoT-Reg-A-Comprehensive-Knowledge-Graph-for-Real-Time-IoT-Data-Privacy-Compliance</link>
  <description><![CDATA[The proliferation of the Internet of Things (IoT) has led to an exponential increase in data generation, especially from wearable IoT devices. While this data influx offers unparalleled insights and connectivity, it also brings significant privacy and security challenges. Existing regulatory frameworks like the United States (US) National Institute of Standards and Technology Interagency or Internal Report (NISTIR) 8228, the US Health Insurance Portability and Accountability Act (HIPAA), and ...]]></description>
  <dc:date>2023-12-15</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1111/Ensuring-Privacy-Policy-Compliance-of-Wearables-with-IoT-Regulations">
  <title><![CDATA[Ensuring Privacy Policy Compliance of Wearables with IoT Regulations]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1111/Ensuring-Privacy-Policy-Compliance-of-Wearables-with-IoT-Regulations</link>
  <description><![CDATA[In an era where wearables, particularly those in non-hospital settings, collect and transmit sensitive personal data, it is imperative to implement stringent privacy safeguards. The National Institute of Standards and Technology (NIST) Internal Report 8228 provides regulations for securing Internet of Things (IoT) devices, data, and the privacy of individuals. We have developed a novel framework for examining the privacy policies governing the data and information utilized by wearable devices...]]></description>
  <dc:date>2023-11-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/998/A-BERT-Based-Approach-to-Measure-Web-Services-Policies-Compliance-With-GDPR">
  <title><![CDATA[A BERT Based Approach to Measure Web Services Policies Compliance With GDPR]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/998/A-BERT-Based-Approach-to-Measure-Web-Services-Policies-Compliance-With-GDPR</link>
  <description><![CDATA[Data confidentiality is an increasingly important issue. Several authorities and regulatory bodies are creating new laws governing how web service data is handled and shared. With the rapid increase of such regulations, web service providers face challenges in complying with these evolving regulations across jurisdictions. Providers must update their service policies regularly to address the new regulations.  The challenge is that regulatory documents are large text documents and require subs...]]></description>
  <dc:date>2021-11-11</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/993/The-Effect-of-Text-Ambiguity-on-creating-Policy-Knowledge-Graphs">
  <title><![CDATA[The Effect of Text Ambiguity on creating Policy Knowledge Graphs]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/993/The-Effect-of-Text-Ambiguity-on-creating-Policy-Knowledge-Graphs</link>
  <description><![CDATA[A growing number of web and cloud-based products and services rely on data sharing between consumers, service providers, and their subsidiaries and third parties. There is a growing concern around the security and privacy of data in such large-scale shared architectures. Most organizations have a human-written privacy policy that discloses all the ways that data is shared, stored, and used. The organizational privacy policies must also be compliant with government and administrative regulatio...]]></description>
  <dc:date>2021-09-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/989/Analyzing-GDPR-compliance-in-Cloud-Services-privacy-policies-using-Textual-Fuzzy-Interpretive-Structural-Modeling-TFISM-">
  <title><![CDATA[Analyzing GDPR compliance in Cloud Services' privacy policies using Textual Fuzzy Interpretive Structural Modeling (TFISM)]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/989/Analyzing-GDPR-compliance-in-Cloud-Services-privacy-policies-using-Textual-Fuzzy-Interpretive-Structural-Modeling-TFISM-</link>
  <description><![CDATA[Cloud Service providers must comply with data protection regulations, like European Union (EU) General Data Protection Regulation (GDPR), to ensure their users' personal data security and privacy. Hence, the service privacy policies and terms of service documents refer to the rules it complies with within the data protection regulation. However, these documents contain legalese jargon that requires significant manual effort to parse and confirm compliance. We have developed a novel methodolog...]]></description>
  <dc:date>2021-09-06</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/992/A-Policy-Driven-Approach-to-Secure-Extraction-of-COVID-19-Data-From-Research-Papers">
  <title><![CDATA[A Policy-Driven Approach to Secure Extraction of COVID-19 Data From Research Papers]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/992/A-Policy-Driven-Approach-to-Secure-Extraction-of-COVID-19-Data-From-Research-Papers</link>
  <description><![CDATA[The entire scientific and academic community has been mobilized to gain a better understanding of the COVID-19 disease and its impact on humanity. Most research related to COVID-19 needs to analyze large amounts of data in very little time. This urgency has made Big Data Analysis, and related questions around the privacy and security of the data, an extremely important part of research in the COVID-19 era. The White House OSTP has, for example, released a large dataset of papers related to CO...]]></description>
  <dc:date>2021-08-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/961/Measuring-Semantic-Similarity-across-EU-GDPR-Regulation-and-Cloud-Privacy-Policies">
  <title><![CDATA[Measuring Semantic Similarity across EU GDPR Regulation and Cloud Privacy Policies]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/961/Measuring-Semantic-Similarity-across-EU-GDPR-Regulation-and-Cloud-Privacy-Policies</link>
  <description><![CDATA[Data protection authorities formulate policies and rules which the service providers have to comply with to ensure security and privacy when they perform Big Data analytics using users Personally Identifiable Information (PII). The knowledge contained in the data regulations and organizational privacy policies are typically maintained as short unstructured text in HTML or PDF formats. Hence it is an open challenge to determine the specific regulation rules that are being addressed by a provid...]]></description>
  <dc:date>2020-12-13</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/349/Context-Aware-Privacy-Policies-in-Mobile-and-Social-Computing">
  <title><![CDATA[Context-Aware Privacy Policies in Mobile and Social Computing]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/349/Context-Aware-Privacy-Policies-in-Mobile-and-Social-Computing</link>
  <description><![CDATA[Social media and mobile computing are becomming increasingly intertwined.  Most of us now use our laptops, tablets and smartphones much more than desktop computers.  These devices sync all kinds of data with the cloud and each other.  We should attend to both mobile computering and social computing in addressing privacy by giving users ways to limit who can see what,

Presentation for the SRI Social Media Workshop -- Social Media Analytics, Communications and Use Cases, Arlington, VA, Janua...]]></description>
  <dc:date>2013-01-29</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/370/Ontology-for-Data-Privacy-Policy">
  <title><![CDATA[Ontology for Data Privacy Policy]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/370/Ontology-for-Data-Privacy-Policy</link>
  <description><![CDATA[We have developed a detailed ontology, using semantic web language OWL, to define the range of information that should be included in the Privacy Policy documents. This ontology can be used by user communities to determine their privacy policies for using applications in the E-Commerce, Big Data and Cloud Computing domain.]]></description>
  <dc:date>2016-10-30</dc:date>
 </item>
</rdf:RDF>
