| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_e757fd4fedc4fe825bb81b1b466a0947 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H70-40
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F17-30699
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F16-335
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H20-10
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H10-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F16-93
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F17-30675
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B50-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F16-334
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H70-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B30-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B40-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F16-31
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F16-3344
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F17-30613
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B20-50
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F17-30011 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H70-40 |
| filingDate |
2018-08-31-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_04f553752b7b98c09a55e9a60dca91f9
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_18882de9ee00501d1aba288abf8badd4
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_454ecc0df3e5593f0045753ace95cd6e
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_794cba8b40b3ff39f00f208c0f41cc81
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_069d13da3f02ca1e641329a18ce4e3ff |
| publicationDate |
2020-03-05-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-2020073995-A1 |
| titleOfInvention |
Extraction and normalization of mutant genes from unstructured text for cognitive search and analytics |
| abstract |
A method, computer system, and a computer program product for automatically extracting and normalizing at least one mutant gene entity from at least one set of unstructured text is provided. The present invention may include extracting the unstructured text describing first and second entities. The present invention may then include identifying a specific first entity and a specific second entity. The present invention may also include associating the specific first and the specific second entities. The present invention may further include creating the mutant gene entity. The present invention may then include identifying at least one semantic relationship between the created mutant gene entity and one or more third entities. The present invention may further include storing the at least one set of data associated with the specific first and specific second entity, the semantic relationship, and the created mutant gene entity in a database. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111881669-A |
| priorityDate |
2018-08-31-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |