Predicate |
Object |
assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_8c1448e72ef64cf5452c9035961018db http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_7c5b32f6a6e8852a79336af8e84899cb http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_4e822017c18accbcbadc502f8cf19384 http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_89043b7f32cbabd008fab8c8a072c3e3 http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_e34298dce2ba9c64b8ed6a87c967c213 http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_b1e4d4a2e17ed6ade645f7dca53fffd2 http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_87c83dbf1ff37a6ff9b5cc1340669b2b |
classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F16-367 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F16-248 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F40-14 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q10-1053 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F16-285 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F16-3347 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F16-24578 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F16-24522 |
classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F17-30 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F40-00 |
filingDate |
2015-11-25-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_259061d49834fff58b67dd97212c943b http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_0ba81ed7ac79d3166ae4025d01537f5f http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a72391c4f685391a80cc22b9f377a137 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_176f59de5f422c49f647c87dbb078a2f http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_f58fc7e6c787209239f7a1159bb8eee2 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_18ac80272c6a838e473f0a1de070a69f |
publicationDate |
2016-06-02-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber |
WO-2016086159-A2 |
titleOfInvention |
Systems and methods to determine and utilize conceptual relatedness between natural language sources |
abstract |
A microprocessor executable method and system for determining the semantic relatedness and meaning between at least two natural language sources is described in a prescribed context. Portions of natural languages are vectorized and mathematically processed to express relatedness as a calculated metric. The metric is associable to the natural language sources to graphically present the level of relatedness between at least two natural language sources. The metric may be re-determined with algorithms designed to compare the natural language sources with a knowledge data bank so the calculated metric can be ascertained with a higher level of certainty. |
isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112132536-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11507879-B2 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112307024-A |
priorityDate |
2014-11-26-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type |
http://data.epo.org/linked-data/def/patent/Publication |