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<!--
	This ontology document is licensed under the Creative Commons
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  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
  <link><![CDATA[http://ebiquity.umbc.edu//tags/html/?t=muc]]></link>
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      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/486/Modeling-and-Extracting-information-about-Cybersecurity-Events-from-Text"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/472/Many-Facets-of-Energy-Disaggregation"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/467/Rapalytics-Where-Rap-Meets-Data-Science"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/466/PhD-defense-Lushan-Han-Schema-Free-Querying-of-Semantic-Data"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/448/Privacy-and-Security-in-Online-Social-Media"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/422/Masters-Thesis-Research-Update-Amey-and-Nikhil"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/410/Masters-Thesis-Research-Proposal-Amey-Sane-and-Nikhil-Puranik"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/406/Citizen-Science-on-the-Social-and-Semantic-Web-PhD-proposal-Joel-Sachs"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/381/Domain-Independent-Sentiment-Analysis"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/365/Geometric-Methods-for-Monitoring-Distributed-Streams"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/24/MOWSER-Wireless-Web-Access"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/21/Semantic-Service-Discovery-in-Bluetooth"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/98/Semantic-Situational-Awareness-for-Intrusion-Detection"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/17/Web-Data-Mining-and-Personalization"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1066/CDFMR-A-Distributed-Statistical-Analysis-of-Stock-Market-Data-using-MapReduce-with-Cumulative-Distribution-Function"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1053/Offline-RL-CKG-A-hybrid-AI-model-for-cybersecurity-tasks"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/891/Compressive-Geospatial-Analytics"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/908/Modeling-and-Extracting-Information-about-Cybersecurity-Events-from-Text"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/850/SAT-based-Compressive-Sensing"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/845/Quantum-Annealing-Based-Binary-Compressive-Sensing-with-Matrix-Uncertainty"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/783/Personalizing-context-aware-access-control-on-mobile-platforms"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/770/Modeling-the-Evolution-of-Climate-Change-Assessment-Research-Using-Dynamic-Topic-Models-and-Cross-Domain-Divergence-Maps"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/932/Convexification-and-Deconvexification-for-Training-Artificial-Neural-Networks"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/658/Schema-Free-Querying-of-Semantic-Data"/>
      <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/360/Schema-Free-Querying-of-Semantic-Data"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/294/Tables-to-Linked-Data"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/295/Tables-to-Linked-Data"/>
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 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/486/Modeling-and-Extracting-information-about-Cybersecurity-Events-from-Text">
  <title><![CDATA[Modeling and Extracting information about Cybersecurity Events from Text]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/486/Modeling-and-Extracting-information-about-Cybersecurity-Events-from-Text</link>
  <description><![CDATA[People rely on the Internet to carry out much of the their daily activities such as banking, ordering food and socializing with their family and friends. The technology facilitates our lives, but also comes with many problems, including cybercrimes, stolen data and identity theft. With the large and increasing number of transaction done every day, the frequency of cybercrime events is also increasing. Since the number of security-related events is too high for manual review and monitoring, we...]]></description>
  <dc:date>2017-05-16</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/472/Many-Facets-of-Energy-Disaggregation">
  <title><![CDATA[Many Facets of Energy Disaggregation]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/472/Many-Facets-of-Energy-Disaggregation</link>
  <description><![CDATA[In this week's Ebiquity meeting, PhD student Nilavra Phatak from the UMBC Information Systems Department will discuss his work on "Many Facets of Energy Disaggregation".

The objective of energy disaggregation is to get the appliance-wise energy consumption from the whole home energy signal. The disaggregated energy consumption provides a better insight into the electrical usage and helps the consumers to modify usage in order to save money and energy. The application of energy disaggregati...]]></description>
  <dc:date>2014-10-29</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/467/Rapalytics-Where-Rap-Meets-Data-Science">
  <title><![CDATA[Rapalytics! Where Rap Meets Data Science]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/467/Rapalytics-Where-Rap-Meets-Data-Science</link>
  <description><![CDATA[For the Hip-Hop Fans: Remember the times when you had those long arguments with your friends about who the better rapper is?  Remember how it always ended up in a stalemate because there was no evidence to back your argument? Well, look no further!]]></description>
  <dc:date>2014-09-17</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/466/PhD-defense-Lushan-Han-Schema-Free-Querying-of-Semantic-Data">
  <title><![CDATA[PhD defense: Lushan Han, Schema Free Querying of Semantic Data]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/466/PhD-defense-Lushan-Han-Schema-Free-Querying-of-Semantic-Data</link>
  <description><![CDATA[Schema Free Querying of Semantic Data

Lushan Han

Developing interfaces to enable casual, non-expert users to query complex structured data has been the subject of much research over the past forty years. We refer to them as as schema-free query interfaces, since they allow users to freely query data without understanding its schema, knowing how to refer to objects, or mastering the appropriate formal query language. Schema-free query interfaces address fundamental problems in natural la...]]></description>
  <dc:date>2014-05-23</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/448/Privacy-and-Security-in-Online-Social-Media">
  <title><![CDATA[Privacy and Security in Online Social Media]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/448/Privacy-and-Security-in-Online-Social-Media</link>
  <description><![CDATA[With increase in usage of the Internet, there has been an exponential increase in the use of online social media on the Internet. Websites like Facebook, Google+, YouTube, Orkut, Twitter and Flickr have changed the way Internet is being used. There is a dire need to investigate, study and characterize privacy and security on online social media from various perspectives (computational, cultural, psychological). Real world scalable systems need to be built to detect and defend security and pri...]]></description>
  <dc:date>2013-03-11</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/422/Masters-Thesis-Research-Update-Amey-and-Nikhil">
  <title><![CDATA[Masters Thesis Research Update - Amey and Nikhil]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/422/Masters-Thesis-Research-Update-Amey-and-Nikhil</link>
  <description><![CDATA[In this week's lab meeting, Amey Sane and Nikhil Puranik will give an update on how their Masters thesis research is progressing. 


Amey will talk on "Exploring Hidden Markov Model for semantic activity prediction".

Smart devices like mobile phones can effectively be exploited for use, not only as a mode of contact through voice dialing but much more than that, by making use of its features like Bluetooth, Wi-Fi capability and also through its in-built sensor capability. All these can ...]]></description>
  <dc:date>2011-12-13</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/410/Masters-Thesis-Research-Proposal-Amey-Sane-and-Nikhil-Puranik">
  <title><![CDATA[Masters Thesis Research Proposal: Amey Sane and Nikhil Puranik]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/410/Masters-Thesis-Research-Proposal-Amey-Sane-and-Nikhil-Puranik</link>
  <description><![CDATA[In this week's lab meeting we will have Amey Sane and Nikhil Puranik talk about the research they will be pursuing for their Masters Thesis. 

Amey Sane will talk about "Context-aware Framework for modeling and prediction of User activities". His research work is part of ongoing Platys project. This project spans over the areas like mobile computing, Context-aware computing, security and privacy. My thesis work will be focused in the area of mobile-computing and Context-aware computing. In ...]]></description>
  <dc:date>2011-09-27</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/406/Citizen-Science-on-the-Social-and-Semantic-Web-PhD-proposal-Joel-Sachs">
  <title><![CDATA[Citizen Science on the Social and Semantic Web, PhD proposal, Joel Sachs]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/406/Citizen-Science-on-the-Social-and-Semantic-Web-PhD-proposal-Joel-Sachs</link>
  <description><![CDATA[Ph.D. Dissertation Proposal

A question faced by semantic web developers is how much explicit semantics to include in their ontologies. A typical answer is that it depends on the use case, since different use cases demand different thicknesses for the semantic layer. This suggest several questions, including: What types of patterns in the rdf graph make a semantic layer &quot;thick&quot; or &quot;thin&quot;? What does it mean for an ontology to support a use case? and Can we create ontologi...]]></description>
  <dc:date>2011-09-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/381/Domain-Independent-Sentiment-Analysis">
  <title><![CDATA[Domain Independent Sentiment Analysis]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/381/Domain-Independent-Sentiment-Analysis</link>
  <description><![CDATA[Domain independent sentiment signals are words or word pairs that are present and have the same sentimental orientation in multiple domains. These words can be easily identified if you have an accurate representation of their in-domain sentimental orientation. If you also have an accurate representation of their sentimental strength then you can use them to correctly classify out of domain documents with reasonable accuracy. In this talk I will present a method to identify domain independent ...]]></description>
  <dc:date>2011-03-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/365/Geometric-Methods-for-Monitoring-Distributed-Streams">
  <title><![CDATA[Geometric Methods for Monitoring Distributed Streams]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/365/Geometric-Methods-for-Monitoring-Distributed-Streams</link>
  <description><![CDATA[Monitoring distributed data streams is the focus of much research in recent years, with applications in dynamic, distributed database systems and sensor networks. Most solutions, however, deal with monitoring simple aggregated values, such as the frequency of appearance of items in the streams. More involved challenges, such as dynamic feature selection, or generally monitoring non-linear functions, are yet to be solved. In this talk I will present a general approach to this problem, based on...]]></description>
  <dc:date>2010-09-27</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/24/MOWSER-Wireless-Web-Access">
  <title><![CDATA[MOWSER: Wireless Web Access]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/24/MOWSER-Wireless-Web-Access</link>
  <description><![CDATA[The software and protocols associated with information browsing systems are
largely designed with static hosts and wired networks in mind, HTTP
and the Web are a case in point. Static hosts are connected to wired, high
bandwidth networks, and are capable of transmitting and receiving large
amounts of data without significant delays. As such, the size and format of
the data files being received by the browser/client has never been a
concern. However, this causes problems when informati...]]></description>
  <dc:date>1999-01-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/21/Semantic-Service-Discovery-in-Bluetooth">
  <title><![CDATA[Semantic Service Discovery in Bluetooth]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/21/Semantic-Service-Discovery-in-Bluetooth</link>
  <description><![CDATA[Bluetooth Service Discovery Protocol (SDP) enables a client application on
a device to discover information about services on other Bluetooth
devices. Every service is represented by a profile that is identified by a
128-bit Universally Unique Identifier (UUID). Attributes associated with a
particular service are also identified by UUIDs. Service discovery
requests, sent by the client, must contain one or more UUIDs. A match
occurs on a peer device if and only if at least one UU...]]></description>
  <dc:date>2000-12-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/98/Semantic-Situational-Awareness-for-Intrusion-Detection">
  <title><![CDATA[Semantic Situational Awareness for Intrusion Detection]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/98/Semantic-Situational-Awareness-for-Intrusion-Detection</link>
  <description><![CDATA[We are developing a situation-aware intrusion detection system that integrates heterogeneous sources of information to build and maintain a semantically rich knowledge-base about cyber threats and vulnerabilities.  Most current intrusion detection and prevention systems rely on signature-based approaches to detect attacks. When an attack signature is not available, such as for a new exploit or a significantly modified known one, such systems are much less effective. Moreover, these intrusion ...]]></description>
  <dc:date>2011-01-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/17/Web-Data-Mining-and-Personalization">
  <title><![CDATA[Web/Data Mining and Personalization]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/17/Web-Data-Mining-and-Personalization</link>
  <description><![CDATA[The evolution of the Internet into the Global Information Infrastructure, coupled with the immense
    popularity of the Web, has also enabled the ordinary citizen to become not just a consumer of information, but also its
    disseminator. The Web, then, is becoming the apocryphal Vox Populi. Given that there is this vast and ever growing
    amount of information, how does the average user quickly find what s/he is looking for -- a task in which the present
    day search engines don'...]]></description>
  <dc:date>1999-09-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1066/CDFMR-A-Distributed-Statistical-Analysis-of-Stock-Market-Data-using-MapReduce-with-Cumulative-Distribution-Function">
  <title><![CDATA[CDFMR: A Distributed Statistical Analysis of Stock Market Data using MapReduce with Cumulative Distribution Function]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1066/CDFMR-A-Distributed-Statistical-Analysis-of-Stock-Market-Data-using-MapReduce-with-Cumulative-Distribution-Function</link>
  <description><![CDATA[The stock market generates massive data daily on
top of a deluge of historical data. Investors and traders look to
stock market data analysis for assurance in their investments, a
prime indicator of our global economy. This has led to immense
popularity in the topic, and consequently, much research has been
done on stock market predictions and future trends. However,
due to the relatively slow electronic trading systems and order
processing times, the velocity of data, the variety of d...]]></description>
  <dc:date>2023-07-07</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1053/Offline-RL-CKG-A-hybrid-AI-model-for-cybersecurity-tasks">
  <title><![CDATA[Offline RL+CKG: A hybrid AI model for cybersecurity tasks]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1053/Offline-RL-CKG-A-hybrid-AI-model-for-cybersecurity-tasks</link>
  <description><![CDATA[AI models for cybersecurity have to detect and defend against constantly evolving cyber threats. Much effort is spent building defenses for zero days and unseen variants of known cyber-attacks. Current AI models for cybersecurity struggle with these yet unseen threats due to the constantly evolving nature of threat vectors, vulnerabilities, and exploits. This paper shows that cybersecurity AI models will be improved and more general if we include semi-structured representations of background ...]]></description>
  <dc:date>2023-03-27</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/891/Compressive-Geospatial-Analytics">
  <title><![CDATA[Compressive Geospatial Analytics]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/891/Compressive-Geospatial-Analytics</link>
  <description><![CDATA[Compressive sensing is a randomized data acquisition method that linearly samples sparse or compressible signals at a rate much below the Nyquist-Shannon sampling theorem, and outperforms traditional signal processing techniques through performing both sensing and size reduction tasks simultaneously. Edge-computing is a decentralization approach that provides several properties (specifically reducing the need for moving a large volume of data) via pushing the computation towards the edge of t...]]></description>
  <dc:date>2019-12-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/908/Modeling-and-Extracting-Information-about-Cybersecurity-Events-from-Text">
  <title><![CDATA[Modeling and Extracting Information about Cybersecurity Events from Text]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/908/Modeling-and-Extracting-Information-about-Cybersecurity-Events-from-Text</link>
  <description><![CDATA[People now rely on the Internet to carry out much of their daily activities such as banking, ordering food, and socializing with their family and friends. The technology facilitates our lives, but also comes with many problems, including cybercrimes, stolen data, and identity theft. With the large and increasing number of transactions done every day, the frequency of cybercrime events is also growing. Since the number of security-related events is too high for manual review and monitoring, we...]]></description>
  <dc:date>2019-12-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/850/SAT-based-Compressive-Sensing">
  <title><![CDATA[SAT-based Compressive Sensing]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/850/SAT-based-Compressive-Sensing</link>
  <description><![CDATA[We propose to reduce the original well-posed problem of compressive sensing to weighted-MAX-SAT. Compressive sensing is a novel randomized data acquisition approach that linearly samples sparse or compressible signals at a rate much below the Nyquist-Shannon sampling rate. The original problem of compressive sensing in sparse recovery is NP-hard; therefore, in addition to restrictions for the uniqueness of the sparse solution, the coding matrix has also to satisfy additional stringent constra...]]></description>
  <dc:date>2019-03-06</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/845/Quantum-Annealing-Based-Binary-Compressive-Sensing-with-Matrix-Uncertainty">
  <title><![CDATA[Quantum Annealing Based Binary Compressive Sensing  with Matrix Uncertainty]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/845/Quantum-Annealing-Based-Binary-Compressive-Sensing-with-Matrix-Uncertainty</link>
  <description><![CDATA[Compressive sensing is a novel approach that linearly samples sparse or compressible signals at a rate much below the Nyquist-Shannon sampling rate and outperforms traditional signal processing techniques in acquiring and reconstructing such signals. Compressive sensing with matrix uncertainty is an extension of the standard compressive sensing problem that appears in various applications, including but not limited to cognitive radio sensing, calibration of the antenna, and deconvolution. The...]]></description>
  <dc:date>2019-01-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/783/Personalizing-context-aware-access-control-on-mobile-platforms">
  <title><![CDATA[Personalizing context-aware access control on mobile platforms]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/783/Personalizing-context-aware-access-control-on-mobile-platforms</link>
  <description><![CDATA[Context-sensitive access control has been a research topic within mobile computing for more than a decade. Much of the work has focused on modeling context and representing policies. Choosing an appropriate policy for a user, however, remains a challenging goal. Creating usable mobile access control solutions has been researched from a users’ permission control perspective. We present a study carried out with subjects using their personal mobile devices that captures individualized policies...]]></description>
  <dc:date>2017-10-15</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/770/Modeling-the-Evolution-of-Climate-Change-Assessment-Research-Using-Dynamic-Topic-Models-and-Cross-Domain-Divergence-Maps">
  <title><![CDATA[Modeling the Evolution of Climate Change Assessment Research Using Dynamic Topic Models and Cross-Domain Divergence Maps]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/770/Modeling-the-Evolution-of-Climate-Change-Assessment-Research-Using-Dynamic-Topic-Models-and-Cross-Domain-Divergence-Maps</link>
  <description><![CDATA[Climate change is an important social issue and the subject of much research, both to understand the history of the Earth's changing climate and to foresee what changes to expect in the future. Approximately every five years, starting in 1990, the Intergovernmental Panel on Climate Change (IPCC) publishes a set of reports that cover the current state of climate change research, how this research will impact the world, risks, and approaches to mitigate the effects of climate change. Each repor...]]></description>
  <dc:date>2017-03-27</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/932/Convexification-and-Deconvexification-for-Training-Artificial-Neural-Networks">
  <title><![CDATA[Convexification and Deconvexification for Training Artificial Neural Networks]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/932/Convexification-and-Deconvexification-for-Training-Artificial-Neural-Networks</link>
  <description><![CDATA[The purpose of this dissertation research is to overcome a fundamental problem in the theory and application of artificial neural networks (ANNs). The problem, called the local minimum problem in training ANNs, has plagued the ANN community since the middle of 1980s.  ANNs trained with backpropagation are extensively utilized to solve various tasks in artificial intelligence fields for decades. The computing power of ANNs is derived through its particularly distributed structure together with...]]></description>
  <dc:date>2016-05-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/658/Schema-Free-Querying-of-Semantic-Data">
  <title><![CDATA[Schema Free Querying of Semantic Data]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/658/Schema-Free-Querying-of-Semantic-Data</link>
  <description><![CDATA[Developing interfaces to enable casual, non-expert users to query complex structured data has been the subject of much research over the past forty years. Since such interfaces allow users to freely query data without understanding its schema, knowing how to refer to objects, or mastering the appropriate formal query language, we call them as schema-free query interfaces. Schema-free query interface systems address a fundamental problem in NLP, Database and AI - to bridge the user conceptual ...]]></description>
  <dc:date>2014-08-01</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/360/Schema-Free-Querying-of-Semantic-Data">
  <title><![CDATA[Schema Free Querying of Semantic Data]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/360/Schema-Free-Querying-of-Semantic-Data</link>
  <description><![CDATA[Slides for Lushan Han's dissertation defense, Schema Free Querying of Semantic Data.

Developing interfaces to enable casual, non-expert users to query complex structured data has been the subject of much research over the past forty years. We refer to them as as schema-free query interfaces, since they allow users to freely query data without understanding its schema, knowing how to refer to objects, or mastering the appropriate formal query language. Schema-free query interfaces addre...]]></description>
  <dc:date>2014-05-23</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/294/Tables-to-Linked-Data">
  <title><![CDATA[Tables to Linked Data]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/294/Tables-to-Linked-Data</link>
  <description><![CDATA[Much of the world’s knowledge is contained in structured documents
like spreadsheets, database relations and tables in documents found
on the Web and in print.  The information in these tables might be
much more valuable if it could be appropriately exported or encoded in
RDF, making it easier to share, understand and integrate with other
information.  This is especially true if it could be linked into the
growing linked data cloud.  We describe techniques to automatically
infer a (p...]]></description>
  <dc:date>2010-04-06</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/295/Tables-to-Linked-Data">
  <title><![CDATA[Tables to Linked Data]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/295/Tables-to-Linked-Data</link>
  <description><![CDATA[Much of the world’s knowledge is contained in structured documents like spreadsheets, database relations and tables in documents found on the Web and in print. The information in these tables might be much more valuable if it could be appropriately exported or encoded in RDF, making it easier to share, understand and integrate with other information. This is especially true if it could be linked into the growing linked data cloud. We describe techniques to automatically infer a (partial) se...]]></description>
  <dc:date>2010-04-26</dc:date>
 </item>
</rdf:RDF>
