To: |
"[ontolog-forum] " <ontolog-forum@xxxxxxxxxxxxxxxx> |
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From: |
"Azamat" <abdoul@xxxxxxxxxxxxxx> |

Date: |
Sat, 30 May 2009 14:19:33 +0300 |

Message-id: |
<002001c9e118$829d6e70$a104810a@homepc> |

JB: "I also wonder about the work being done at Renaissance Technology with the use of the Chern-Simons algorithms used to extract patterns from stream data. although I don't understand it, it seems to work and Renaissance made $2.5B last year running a hedge fund with this approach. Would it have a use in developing ontologies from graph weight data? http://en.wikipedia.org/wiki/Chern-Simons_theory"; (01) John, (02) That's really interesting. An academic geometer, James Simon, first had coauthored a geometrical theory to be used for a quantum gravity string theory, then left the academia to establish a hedge fund, Renaissance Technologies Corporation, managing now up to $ 20 b, being 80 years old, and recently titled as "the smartest billionaire." Statistics is still ruling the world. (03) Re. the issue; there is an emerging meta-disciplinary field dubbed Econophysics, applying physical concepts, theories and methods to solve problems in economics, statistical physics extended to statistical finance, or quantum physics to quantum economics, http://en.wikipedia.org/wiki/Quantum_economy. The theory mentioned fall under a spatial topological QFT to identify invariants (topological properties as cardinality, connectedness, compactness, separation, metrics). In its substance, the algorithm is about correlations (correlativity, correlation statistics, correlation statistics and correlators), ie, the strength and direction of a relationship among two and more things (or two or more variables or two and more random variables). In Quantum Field theory the concept of correlation functions received the maximal generalization, a possible reason of its application for searching invariant features and invariable patterns in financial stream data. (04) Used to describe stochastic processes, the correlation functions are widely used to describe interrelationships among things (events, points). Thus it comes under the Relation Ontology (RO) and all its possible relation management applications. Given there are broadly two types of correlations, acausal correlations and causal correlations, the RO assumes that all true correlations imply causation. So if statistics defines quantitative relationships (correlation coefficients) among random variables like as gross national product, education, wealth, poverty, criminality, corruption, etc), the RO is concerned with causal co-relationships among entities (changes, processes, actions, activities, events, and occurrences) formally represented as the class variables. (05) Not Statistics but Ontology should rule the world. (06) Azamat Abdoullaev http://www.standardontology.org iboss@xxxxxxxxxxxxxxxxxxxx (07) ----- Original Message ----- From: "John Bottoms" <john@xxxxxxxxxxxxxxxxxx> To: "[ontolog-forum]" <ontolog-forum@xxxxxxxxxxxxxxxx> Sent: Saturday, May 30, 2009 12:03 AM Subject: Re: [ontolog-forum] Guo's word senses and Foundational Ontologies (08) > There was also C.K.Ogden's Basic English, published in 1933 > |

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