]> 2008/06/10 OpenCyc Knowledge Base Copyright© 2001-2008 Cycorp, Inc., http://www.cyc.com/, Austin, TX, USA This file contains an OWL representation of information contained in the OpenCyc Knowledge Base. The content of this OWL file is licensed under the Creative Commons Attribution 3.0 license whose text can be found at http://creativecommons.org/licenses/by/3.0/legalcode. The content of this OWL file, including the OpenCyc content it represents, constitutes the "Work" referred to in the Creative Commons license. The terms of this license equally apply to, without limitation, renamings and other logically equivalent reformulations of the content of this OWL file (or portions thereof) in any natural or formal language, as well as to derivations of this content or inclusion of it in other ontologies. externalID A unique, language-neutral, variable-sized identifier for a concept that can be used to refer unambiguously to that concept across OWL exports or across Cyc inference engines. label A natural-language representation for a concept that is both human readable and readable by the Cyc inference engine. These terms are not guaranteed to refer to the same concept across time but are guaranteed to be consistent within a particular OWL export. Use 'cycAnnot:externalID' for unambiguously referring to a concept across OWL exports or across Cyc inference engines. text mining Text mining takes unstructured textual information and examines it in an attempt to discover structure and implicit meanings buried in the text. By identifying this structure and meaning, text mining can impose relevant indexing on textual data. Once a useful index is built, information can be retrieved through search technology. TextMining http://en.wikipedia.org/wiki/Text_mining seeking The most general collection of events in which an agent purposefully looks or searches for something. The thing being looked for may be a particular individual or it may be anything that satisfies a certain description (see <font color="#ff0000">#$NoteAboutLookingForIndividualsVsTypes</font>). The thing being looked for may be tangible or intangible, timeless or temporally bounded. Visual perception is not necessarily involved in all instances of <a href="http://sw.opencyc.org/2008/06/10/concept/Mx4rvYoLMZwpEbGdrcN5Y29ycA" class="cyc_term">LookingForAThingOrTypeOfThing</a>. Examples include searching for the largest prime number less than 10 billion, Johnny looking for Santa Claus, Humans looking for intelligent life, Fred looking for any dictionary, Fred looking for Joe's dictionary, and Deep Blue searching for the best possible move. LookingForAThingOrTypeOfThing text mining TextMining Text mining takes unstructured textual information and examines it in an attempt to discover structure and implicit meanings buried in the text. By identifying this structure and meaning, text mining can impose relevant indexing on textual data. Once a useful index is built, information can be retrieved through search technology. first-order collection An instance of <a href="http://sw.opencyc.org/2008/06/10/concept/Mx4rvtppU5wpEbGdrcN5Y29ycA" class="cyc_term">CollectionType</a>, and a specialization of <a href="http://sw.opencyc.org/2008/06/10/concept/Mx4rNooX_CChEdaAAABQ2rksLw" class="cyc_term">FixedOrderCollection</a>. <a href="http://sw.opencyc.org/2008/06/10/concept/Mx4rHIBS0h_TEdaAAABQ2rksLw" class="cyc_term">FirstOrderCollection</a> is the collection of all specializations of <a href="http://sw.opencyc.org/2008/06/10/concept/Mx4rvVjaApwpEbGdrcN5Y29ycA" class="cyc_term">Individual</a> (q.v.) Notable specializations of <a href="http://sw.opencyc.org/2008/06/10/concept/Mx4rHIBS0h_TEdaAAABQ2rksLw" class="cyc_term">FirstOrderCollection</a> include <a href="http://sw.opencyc.org/2008/06/10/concept/Mx4rvViq35wpEbGdrcN5Y29ycA" class="cyc_term">TemporalObjectType</a>, <a href="http://sw.opencyc.org/2008/06/10/concept/Mx4rvVny6pwpEbGdrcN5Y29ycA" class="cyc_term">ExistingStuffType</a>, and <a href="http://sw.opencyc.org/2008/06/10/concept/Mx4rvWXYgJwpEbGdrcN5Y29ycA" class="cyc_term">ExistingObjectType</a>. FirstOrderCollection text mining TextMining Text mining takes unstructured textual information and examines it in an attempt to discover structure and implicit meanings buried in the text. By identifying this structure and meaning, text mining can impose relevant indexing on textual data. Once a useful index is built, information can be retrieved through search technology. text mining TextMining Text mining takes unstructured textual information and examines it in an attempt to discover structure and implicit meanings buried in the text. By identifying this structure and meaning, text mining can impose relevant indexing on textual data. Once a useful index is built, information can be retrieved through search technology.