<rdf:RDF
 xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
 xmlns="http://purl.org/rss/1.0/"
 xmlns:dc="http://purl.org/dc/elements/1.1/"
 xmlns:cc="http://web.resource.org/cc/"
 >
<!--
	This ontology document is licensed under the Creative Commons
	Attribution License. To view a copy of this license, visit
	http://creativecommons.org/licenses/by/2.0/ or send a letter to
	Creative Commons, 559 Nathan Abbott Way, Stanford, California
	94305, USA.
-->
 <channel rdf:about="http://ebiquity.umbc.edu//tags/html/?t=music">
  <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
  <link><![CDATA[http://ebiquity.umbc.edu//tags/html/?t=music]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for music]]></description>
  <items>
    <rdf:Seq>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/392/The-Social-Life-of-Personal-Information"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/90/Technical-challenges-at-Amazon"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/44/agentSpeak"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/32/Vigil-Secure-Centaurus"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/58/Voice-of-WordNet"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/80/XPod"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/915/Deep-Representation-of-Lyrical-Style-and-Semantics-for-Music-Recommendation"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/717/Entity-Disambiguation-for-Wild-Big-Data-Using-Multi-Level-Clustering"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/335/XPod-A-Human-Activity-Aware-Learning-Mobile-Music-Player"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/280/XPod-a-human-activity-and-emotion-aware-mobile-music-player"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/127/P2P-M-Commerce-in-Pervasive-Environments"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/311/The-Social-Life-of-Personal-Information"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/208/XPod-IJCAI-Presentation"/>
    </rdf:Seq>
  </items>
 </channel>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/392/The-Social-Life-of-Personal-Information">
  <title><![CDATA[The Social Life of Personal Information]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/392/The-Social-Life-of-Personal-Information</link>
  <description><![CDATA[Personal Information Management (PIM) practices are the set of behaviors that we follow to organize our information. This often includes the management of email messages, documents, bookmarks, digital pictures, music, etc. Research in PIM has identified a core set of set of behaviors: encountering information, deciding to keep the information, filing/archiving, and reusing the information. The plethora of digital information and online transactions has us struggling to manage information eff...]]></description>
  <dc:date>2011-04-14</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/90/Technical-challenges-at-Amazon">
  <title><![CDATA[Technical challenges at Amazon]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/90/Technical-challenges-at-Amazon</link>
  <description><![CDATA[Dan Eshner, a senior technologist at Amazon Inc, will
describe the technical challenges and their solutions
facing Amazon.  Amazon.com was one of the first major
companies to sell goods over the Internet and has become
what is probably the Web's largest and most influential
retailer.  Amazon also owns a number of very innovative
companies providing web-based services, including Alexa
Internet, a9.com, and the Internet Movie Database (IMDb).

Launched in 1995, Amazon.com began as an o...]]></description>
  <dc:date>2005-03-08</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/44/agentSpeak">
  <title><![CDATA[agentSpeak]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/44/agentSpeak</link>
  <description><![CDATA[Several manufacturers offer Bluetooth enabled wireless headsets, such
as Jabra's FreeSpeak
and products made by Plantronics and others . There
are intended to be used to connect with phones, but could also be used
to send and receive audio to computers.  This project will involve (1)
writing some low level drivers for the desired OS (linux?), (ii)
hooking up the drivers to some interesting applications (listen to
MP3's?  Interface to a speech understanding system) and (iii)
demonstrat...]]></description>
  <dc:date>2003-12-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/32/Vigil-Secure-Centaurus">
  <title><![CDATA[Vigil / Secure Centaurus]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/32/Vigil-Secure-Centaurus</link>
  <description><![CDATA[Vigil / Secure Centaurus is an ongoing research project on smart home / smart office scenario.

The goal of the project is to demonstrate a smart office environment where mobile user can use her handheld device to ad-hocly operate over all resources/services embedded in  the environment. These services include doors, lights, music, powerpoint presentations, printers and various information services. A user can access these services through Bluetooth, Wi-Fi and IR enabled handheld devices as...]]></description>
  <dc:date>2000-01-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/58/Voice-of-WordNet">
  <title><![CDATA[Voice of WordNet]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/58/Voice-of-WordNet</link>
  <description><![CDATA[This is part hacking and part art.  Construct a multimedia, interactive visualization of the wordnet ontology.  The system would display a part of the wordnet graph centered on a particular lexical entry.  It would vocalize part of the entries definition via a standard text to speech application.  After some time (e.g., 10 seconds),  a random neighbor in the graph would be selected and the process repeated. Occasionally, the entire process would start over focused on a random entry to avoid b...]]></description>
  <dc:date>2004-12-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/80/XPod">
  <title><![CDATA[XPod]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/80/XPod</link>
  <description><![CDATA[The XPod system aims
to integrate awareness of human activity and musical
preferences to produce an adaptive system
that plays the contextually correct music. The
XPod project introduces a “smart” music player
that learns its user’s preferences and activity, and
tailors its music selections accordingly. We are using
a BodyMedia device that has been shown to accurately
measure a user’s physiological state. The
device is able to monitor a number of variables to
determine its u...]]></description>
  <dc:date>2004-01-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/915/Deep-Representation-of-Lyrical-Style-and-Semantics-for-Music-Recommendation">
  <title><![CDATA[Deep Representation of Lyrical Style and Semantics for Music Recommendation]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/915/Deep-Representation-of-Lyrical-Style-and-Semantics-for-Music-Recommendation</link>
  <description><![CDATA[In an increasingly mobile and connected world, digital music consumption has rapidly increased. More recently, faster and cheaper mobile bandwidth has given the average mobile user the potential to access large troves of music through streaming services like Spotify and Google Music that boast catalogs with tens of millions of songs. At this scale, effective music recommendation is an important part of user experience and music discovery. Collaborative filtering (CF), a popular technique used...]]></description>
  <dc:date>2017-05-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/717/Entity-Disambiguation-for-Wild-Big-Data-Using-Multi-Level-Clustering">
  <title><![CDATA[Entity Disambiguation for Wild Big Data Using Multi-Level Clustering]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/717/Entity-Disambiguation-for-Wild-Big-Data-Using-Multi-Level-Clustering</link>
  <description><![CDATA[When RDF instances represent the same entity they are said
to corefer. For example, two nodes from different RDF graphs 1 both refer
to same individual, musical artist James Brown. Disambiguating entities
is essential for knowledge base population and other tasks that result
in integration or linking of data. Often however, entity instance data
originates from different sources and can be represented using differ-
ent schemas or ontologies. In the age of Big Data, data can have other
c...]]></description>
  <dc:date>2015-10-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/335/XPod-A-Human-Activity-Aware-Learning-Mobile-Music-Player">
  <title><![CDATA[XPod: A Human Activity Aware Learning Mobile Music Player]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/335/XPod-A-Human-Activity-Aware-Learning-Mobile-Music-Player</link>
  <description><![CDATA[The XPod system, presented in this paper, aims
to integrate awareness of human activity and musical
preferences to produce an adaptive system
that plays the contextually correct music. The
XPod project introduces a “smart” music player
that learns its user’s preferences and activity, and
tailors its music selections accordingly. We are using
a BodyMedia device that has been shown to accurately
measure a user’s physiological state. The
device is able to monitor a number of var...]]></description>
  <dc:date>2007-01-08</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/280/XPod-a-human-activity-and-emotion-aware-mobile-music-player">
  <title><![CDATA[XPod a human activity and emotion aware mobile music player]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/280/XPod-a-human-activity-and-emotion-aware-mobile-music-player</link>
  <description><![CDATA[In this paper, we consider the notion of collecting human emotion and activity information from the user, and explore how this information could be used to improve the user experience with mobile music players. This paper proposes a mobile MP3 player, XPod, which is able to automate the process of selecting the song best suited to the emotion and the current activity of the user. The XPod concept is based on the idea of automating much of the interaction between the music player and its user....]]></description>
  <dc:date>2005-11-17</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/127/P2P-M-Commerce-in-Pervasive-Environments">
  <title><![CDATA[P2P M-Commerce in Pervasive Environments]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/127/P2P-M-Commerce-in-Pervasive-Environments</link>
  <description><![CDATA[Pervasive environments are characterized by the presence of wireless devices ranging from sensors to mobile PDA-phones to laptops. Peer-to-Peer (P2P) information sharing in such environments presents a tremendous opportunity for people and devices to exchange information such as music, pictures, documents and stock tickers with peers. Information that has a monetary value introduces a whole new set of problems for P2P interaction in pervasive environments. In this work, we present the design ...]]></description>
  <dc:date>2003-01-28</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/311/The-Social-Life-of-Personal-Information">
  <title><![CDATA[The Social Life of Personal Information]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/311/The-Social-Life-of-Personal-Information</link>
  <description><![CDATA[Personal Information Management (PIM) practices are the set of behaviors that we follow to organize our information. This often includes the management of email messages, documents, bookmarks, digital pictures, music, etc. Research in PIM has identified a core set of set of behaviors: encountering information, deciding to keep the information, filing/archiving, and reusing the information. The plethora of digital information and online transactions has us struggling to manage information effe...]]></description>
  <dc:date>2011-04-14</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/208/XPod-IJCAI-Presentation">
  <title><![CDATA[XPod IJCAI Presentation]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/208/XPod-IJCAI-Presentation</link>
  <dc:date>2006-10-25</dc:date>
 </item>
</rdf:RDF>
