US2015293979A1PendingUtilityA1

Propagation Through Perdurance

Assignee: STEPHENS JR JAMES HPriority: Mar 24, 2011Filed: Jun 4, 2015Published: Oct 15, 2015
Est. expiryMar 24, 2031(~4.7 yrs left)· nominal 20-yr term from priority
G06F 17/30554G06F 17/30604G06F 16/248G06F 16/288G06F 16/20
48
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Claims

Abstract

An event processor accepts event representations that comprise perdurance and epistemological relationships among entities or entity references, and the event processor stores information derived from event representations in a datastore. A search component searches entities based on local epistemological and perdurance properties, and a perdurance engine traverses the perdurance relationships obtained from the datastore. An epistemological propagator generates derived epistemological relationships using the perdurance engine and local epistemological data obtained from the datastore.

Claims

exact text as granted — not AI-modified
1 - 18 . (canceled) 
     
     
         19 . A system for propagating knowledge through perdurance, the system comprising:
 an event processor, which processes perdurance and epistemological relationships of entities that forms a logical graph that admits multiple paths between two entities;   a search component, which locates entities having common perdurance or local epistemological properties;   a property queue, which receives the entities located by the search component;   a perdurance engine, which returns a populated accumulator based on the traversal of given entities across events that satisfy a given traversal predicate;   an epistemological propagator, which generates derived epistemological relationships using the perdurance engine according to propagation fields;   property pipelines, which receives the derived epistemological relationships;   an intersection engine, which identifies the entities that have common derived epistemological properties in the property pipelines.   
     
     
         20 . The system of  claim 19  wherein the epistemological propagator derives derived relationships and probability distributions for the derived relationships. 
     
     
         21 . The system of  claim 20  wherein the logical graph contains cycles and the perdurance engine includes a cycle detector operable to avoid infinite execution paths. 
     
     
         22 . The system of  claim 21  wherein the epistemological propagators annotate derivations of relationships with citation graphs. 
     
     
         23 . The system of  claim 22  wherein the citation graphs comprise perdurance paths relating to the derivations. 
     
     
         24 . The system of  claim 23  wherein the epistemological propagator propagates intrinsic and extrinsic properties according to different propagation fields. 
     
     
         25 . The system of  claim 24  wherein the perdurance relationships represent perdurance events that include entity emission, absorption, fission, fusion, creation, or destruction. 
     
     
         26 . The system of  claim 25  wherein the perdurance relationships comprise time properties representing write time, report time, embargo time, or effective time. 
     
     
         27 . The system of  claim 26  wherein probability distributions associated with a derived epistemological relationship are based on specified times and perdurance relationships. 
     
     
         28 . The system of  claim 27  wherein probability distributions associated with derived epistemological relationships are based on specified times and perdurance paths. 
     
     
         29 . The system of  claim 28  wherein probability distributions associated with derived epistemological relationships are based on aggregations of multiple perdurance paths. 
     
     
         30 . The system of  claim 29  wherein probability distributions are determined by propagation mechanics specified in a declarative representation that supports the combination of propagation fields. 
     
     
         31 . The system of  claim 30  further comprising a propagation mechanics learning engine operable to generate the propagation mechanics from local perdurance and epistemological data. 
     
     
         32 . The system of  claim 31  wherein the intersection engine identifies entities that have epistemological properties with a characteristic probability distribution. 
     
     
         33 . The system of  claim 32  wherein the events act as entities and event metadata is treated as epistemological relationships.

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