The Event Search Engine

In a remote or local environment in which a sensor network always collects data produced by sensors attached to physical objects, the engine presented here saves the data sent through the Internet and searches for data segments that correspond to real-world events by using natural language NL words in a query that are input in an web browser. The engine translates each query into a physical quantity representation searches for a sensor data segment that satisfies the representation, and sends back the event occurrence time, place, or related objects as a reply to the query to the remote or local environment in which the web browser displays them. The engine, which we expect to be one of the upcoming Internet services, exemplifies the concept of symbiosis that bridges the gaps between the real space and the digital space.

[1]  Gerd Doeben-Henisch.  Reconstructing Human Intelligence within Computational Sciences: An Introductory Essay , 2007 .

[2]  Young-Jin Kim,et al.  Multi-dimensional range queries in sensor networks , 2003, SenSys '03.

[3]  Jordi Vallverd,et al.  Thinking Machines and the Philosophy of Computer Science: Concepts and Principles , 2010 .

[4]  Angelo C. Loula,et al.  Artificial Cognition Systems , 2006 .

[5]  Vikram Srinivasan,et al.  MAX: human-centric search of the physical world , 2005, SenSys '05.

[6]  Frank L. Greitzer,et al.  Neo-Symbiosis: The Next Stage in the Evolution of Human Information Interaction , 2007, Int. J. Cogn. Informatics Nat. Intell..

[7]  Ted Briscoe,et al.  Automatic Extraction of Subcategorization from Corpora , 1997, ANLP.

[8]  Qiong Luo,et al.  Action-Oriented Query Processing for Pervasive Computing , 2005, CIDR.

[9]  Philippe Bonnet,et al.  Querying the physical world , 2000, IEEE Wirel. Commun..

[10]  Daqing Zhang,et al.  Enhancing Semantic Spaces with Event-Driven Context Interpretation , 2005, Pervasive.

[11]  Christiane Fellbaum,et al.  Book Reviews: WordNet: An Electronic Lexical Database , 1999, CL.

[12]  Lawrence R. Rabiner,et al.  An algorithm for determining the endpoints of isolated utterances , 1975, Bell Syst. Tech. J..

[13]  Henry A. Kautz,et al.  Inferring activities from interactions with objects , 2004, IEEE Pervasive Computing.

[14]  Yingxu Wang.  Novel Approaches in Cognitive Informatics and Natural Intelligence , 2008 .

[15]  Pablo A. Haya,et al.  A Plug and Play Spoken Dialogue Interface for Smart Environments , 2004, CICLing.

[16]  Yingxu Wang,et al.  On System Algebra: A Denotational Mathematical Structure for Abstract System Modeling , 2008, Int. J. Cogn. Informatics Nat. Intell..

[17]  L. Zadeh.  A Fuzzy-Set-Theoretic Interpretation of Linguistic Hedges , 1972 .

[18]  G. Kitagawa,et al.  A Smoothness Priors–State Space Modeling of Time Series with Trend and Seasonality , 1984 .

[19]  Yingxu Wang,et al.  On Concept Algebra: A Denotational Mathematical Structure for Knowledge and Software Modeling , 2008, Int. J. Cogn. Informatics Nat. Intell..

[20]  Charles Oppenheim,et al.  The evaluation of WWW search engines , 2000, J. Documentation.

[21]  Wei Hong,et al.  The design of an acquisitional query processor for sensor networks , 2003, SIGMOD '03.