Predicate |
Object |
assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_f2cd09520fd6e394e8a1030fee7e49ed |
classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F40-194 |
classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06K9-00483 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F16-137 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V30-418 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F16-353 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-23213 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V30-412 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-21 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F40-205 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06K9-00449 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06K9-6217 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F16-325 |
classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F16-31 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F16-13 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F16-35 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F40-205 |
filingDate |
2021-01-25-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
grantDate |
2022-02-08-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_eeed8b2e14031275689d2e23a9a6e55e http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_d9f21cf926606ec90628f6624b6c628e http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_bc5d2dc87c389f788bc8ccd799a14d63 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_5f8526c543c5eb3e246a076b01ec8d48 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e11a97e28c00141c9f644e650a29f848 |
publicationDate |
2022-02-08-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber |
US-11243990-B2 |
titleOfInvention |
Dynamic document clustering and keyword extraction |
abstract |
Systems, methods and apparatuses are disclosed to cluster a plurality of documents located in any number of local and/or remote systems and applications. Preprocessed text is generated for each document, and a hash and a feature vector are determined based on the preprocessed text. A set of clusters is retrieved, wherein each cluster is associated with a hash list and a cumulative feature vector. Each of the documents may then be associated with a cluster by comparing the hash of the document to the hash lists of the clusters and/or by determining similarities between the feature vector of the document and the cumulative feature vectors of the clusters. |
priorityDate |
2019-03-27-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type |
http://data.epo.org/linked-data/def/patent/Publication |