http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110399501-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_3cfe120b5acc57bcb8259d3071dc6a65 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F16-367 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F16-3344 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F16-33 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F16-36 |
| filingDate | 2019-07-31-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_46e6c309c7bf6c4c13d1a1ccd571762f http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a7f7b3b00f3e105c7dfdde59e4fae401 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_34a58a3250ea076498a7b31e871068b7 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_4f30771791799ad3369fd9bdfa2cba6f http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_6219017cf706549d9add969bf1a488c1 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_89f6a1acce9f9fef161c915906ccaabd |
| publicationDate | 2019-11-01-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-110399501-A |
| titleOfInvention | A method for generating literature map in geological field based on language statistical model |
| abstract | The invention relates to the technical field of knowledge graphs, and provides a method for generating document graphs in the geological field based on a language statistical model. Its purpose is to discover the correlation between similar information (here, information in the field of geological gold mines). The main scheme includes: word segmentation operation, part-of-speech filtering operation to obtain the main sentence with only nouns, verbs and prepositions left, and the verb filtering operation on the main sentence to obtain the sentences with transitive verbs without people as the subject. Perform relational binary extraction operation on the results of the previous step, and calculate the probability that each relational binary has a probability p. The same relation words are spliced together, and the probability P of the formed relation triplet is calculated according to the probability p. The relational word filtering and probability sorting operations are performed on the relational triples to obtain a list of relational triples, and the graph is generated for the relational triples. |
| priorityDate | 2019-07-31-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 26.