Continuous Semantics to Analyze Real Time Data - Revision history

Topher at 18:12, 27 February 2014

2014-02-27T18:12:24Z

Topher at 18:10, 27 February 2014

2014-02-27T18:10:41Z

Topher: Added a Citation for Christopher Thomas' PhD Dissertation

2014-02-27T18:07:29Z

Added a Citation for Christopher Thomas' PhD Dissertation

Mandeep at 02:37, 3 February 2011

2011-02-03T02:37:30Z

Michael.cooney at 23:15, 5 October 2010

2010-10-05T23:15:16Z

Michael.cooney at 23:14, 5 October 2010

2010-10-05T23:14:47Z

Michael.cooney at 23:13, 5 October 2010

2010-10-05T23:13:08Z

Michael.cooney at 22:35, 5 October 2010

2010-10-05T22:35:10Z

Michael.cooney at 20:13, 5 October 2010

2010-10-05T20:13:29Z

Michael.cooney at 16:16, 5 October 2010

2010-10-05T16:16:41Z

@@ Line 459: / Line 459: @@
 Hewlett-Packard Innovation Grant.<br /><br />
-<b>References</b><br />
+==See Also==
 . A. Sheth, D. Avant, and C. Bertram, System
 and Method for Creating a Semantic
@@ Line 509: / Line 512: @@
 –83.<br /><br />
 <b>Citation</b>:<br />
 A. Sheth, C. Thomas, and P. Mehra, [http://knoesis.org/library/resource.php?id=863 Continuous Semantics to Analyze Real-Time Data], IEEE Internet Computing, 14 (6), November-December 2010, pp. 84-89.

@@ Line 508: / Line 508: @@
 Computing, vol. 12, no. 4, 2008, pp.
 –83.<br /><br />
 <b>Citation</b>:<br />
 A. Sheth, C. Thomas, and P. Mehra, [http://knoesis.org/library/resource.php?id=863 Continuous Semantics to Analyze Real-Time Data], IEEE Internet Computing, 14 (6), November-December 2010, pp. 84-89.

← Older revision		Revision as of 18:07, 27 February 2014
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	<b>Citation</b>:<br />		<b>Citation</b>:<br />
	A. Sheth, C. Thomas, and P. Mehra, [http://knoesis.org/library/resource.php?id=863 Continuous Semantics to Analyze Real-Time Data], IEEE Internet Computing, 14 (6), November-December 2010, pp. 84-89.		A. Sheth, C. Thomas, and P. Mehra, [http://knoesis.org/library/resource.php?id=863 Continuous Semantics to Analyze Real-Time Data], IEEE Internet Computing, 14 (6), November-December 2010, pp. 84-89.
		+
		+	Christopher Thomas, [http://knoesis.org/library/resource.php?id=1799 Knowledge Acquisition in a System], PhD Dissertation, December 2012

@@ Line 508: / Line 508: @@
 Computing, vol. 12, no. 4, 2008, pp.
 –83.<br /><br />
-NOVEMBER/DECEMBER 2010
+<b>Citation</b>:<br />

@@ Line 507: / Line 507: @@
 “Semantic Sensor Web,” IEEE Internet
 Computing, vol. 12, no. 4, 2008, pp.
-–83.<br />
+–83.<br /><br />
 A version of this paper will appear as: A. Sheth, C. Thomas, and P. Mehra, Continuous Semantics to Analyze Real-Time Data, IEEE Internet Computing, November-December 2010, pp. 80-85.
 NOVEMBER/DECEMBER 2010

@@ Line 1: / Line 1: @@
 <span style="font-size:28pt;color:purple">Continuous Semantics to Analyze Real-Time Data</span><br /><br />
-Amit Sheth, Christopher Thomas, and Pankaj Mehra<br /><br />
+[http://knoesis.org/amit Amit Sheth], [http://knoesis.org/researchers/topher/ Christopher Thomas], and Pankaj Mehra<br /><br />
 <span style="font-size:24pt;color:purple">W</span>e’ve made significant progress in
@@ Line 508: / Line 508: @@
 Computing, vol. 12, no. 4, 2008, pp.
 –83.<br /><br />
-<b>Amit Sheth</b> is the director of the Ohio Center
-of Excellence on Knowledge-Enabled
-Computing (Kno.e.sis) at Wright State
-University. He’s also the university’s
-LexisNexis Ohio Eminent Scholar. He’s
-on the Web at http://knoesis.org/amit.<br /><br />
-<b>Christopher Thomas</b> is completing his PhD dissertation on dynamic model creation at the Ohio Center of Excellence on Knowledge-Enabled Computing (Kno.e.sis) at Wright State University. Contact him at topher@knoesis.org.<br /><br />
 NOVEMBER/DECEMBER 2010

@@ Line 204: / Line 204: @@
 the more unruly informal text that
 largely constitutes real-time data.
 <span style="font-size:12pt;color:purple">Continuous Semantics</span><br />

@@ Line 96: / Line 96: @@
 to build a folksonomy — an
 informal domain model.
 <b>Anticipating What We’ll Want to Know</b>
@@ Line 214: / Line 222: @@
 the domain for which the users are
 requesting information.
 <b>Wikipedia as an Underlying Corpus</b>
@@ Line 300: / Line 299: @@
 One of its key features is domain
 hierarchy creation.
 <b>Dynamic Model Creation</b>
@@ Line 435: / Line 442: @@
 annotation of tweets).
-<span style="font-size:16pt;color:purple">S</span>uch semantic processing of realtime (textual) data shares the technological underpinnings of the Semantic Sensor Web.10 Combining the two easily leads to integrated semantic analysis of multimodal data streams. On-demand creation of semantic models from social-knowledge sources such as Wikipedia offers exciting new capabilities in making real-time social and sensor data more meaningful and useful for advanced situational-awareness and situational-analysis applications.<br /><br />
+<span style="font-size:16pt;color:purple">S</span>uch semantic processing of realtime (textual) data shares the technological underpinnings of the Semantic Sensor Web.10 Combining the two easily leads to integrated semantic analysis of multimodal data streams. On-demand creation of semantic models from social-knowledge sources such as Wikipedia offers exciting new capabilities in making real-time social and sensor data more meaningful and useful for advanced situational-awareness and situational-analysis applications.<br />
 <b>References</b><br />