http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110311991-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04L2101-69 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2411 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04L61-4511 |
| classificationIPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H04L101-69 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H04L61-4511 |
| filingDate | 2019-02-20-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2022-04-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2022-04-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-110311991-B |
| titleOfInvention | Street-level landmark acquisition method based on SVM classification model |
| abstract | The present invention provides a street-level landmark acquisition method based on an SVM classification model. Aiming at the problem that the existing landmark acquisition methods cannot quickly acquire a large number of street-level landmarks, the invention proposes to use an open port to identify the service carried on the IP, and perform a domain name for the IP. Reverse analysis, construct a regional institution information database, and use social engineering methods based on the institutional information database to obtain candidate street-level landmarks by combining database query and online map methods, and finally use the street-level landmark evaluation method to obtain candidate street-level landmarks. The evaluation is performed to obtain reliable street-level landmarks; the method for obtaining street-level landmarks based on the SVM classification model of the present invention can obtain more reliable street-level landmarks in a shorter time. |
| priorityDate | 2019-02-20-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
| Predicate | Subject |
|---|---|
| isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419512635 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID962 |
Total number of triples: 16.