http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2020125791-A1

Outgoing Links

Predicate Object
assignee http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_0acc7fd312a68983fb8b9d120043467e
classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F40-166
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H10-60
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F40-117
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F40-289
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F40-30
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F40-253
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F40-106
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F40-211
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F40-103
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F40-103
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F40-106
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H10-60
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F40-289
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F40-211
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F40-30
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F40-117
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F40-253
filingDate 2019-12-17-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_b4d6bf67485df8cdf9b1b82b43dee4df
publicationDate 2020-04-23-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber US-2020125791-A1
titleOfInvention Enhancing Reading Accuracy, Efficiency and Retention
abstract This document provides systems and methods for altering text presentation to increase reading accuracy, efficiency, and retention. This can include identification text specific attributes from machine readable text (through parsing of the text), varying the text presentation in accordance with the attributes, and creating an enhanced visual product for enhancing the reading experience. For example, a computer system can extract attributes such as parts of speech from an input sentence and display that sentence in cascading text segments down and across a display screen. The system can further use domain-specific dictionaries derived from domain-specific texts to identify domain-specific compound noun phrases and verb phrases that require specific linguistic tagging to be usable in other linguistic analysis steps.
isCitedBy http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11531804-B2
priorityDate 2014-04-25-04:00^^<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/SID454429464
http://rdf.ncbi.nlm.nih.gov/pubchem/taxonomy/TAXID110799
http://rdf.ncbi.nlm.nih.gov/pubchem/gene/GID18700
http://rdf.ncbi.nlm.nih.gov/pubchem/anatomy/ANATOMYID110799
http://rdf.ncbi.nlm.nih.gov/pubchem/gene/GID8624356
http://rdf.ncbi.nlm.nih.gov/pubchem/gene/GID5277
http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID29089

Total number of triples: 34.