See also Recognition
ana ~ (any string), (produces an analysis of the selection , see Query produces several files :
Select_S is the raw selection of lines out of the BASE (FAM....)
Select_A is the basic analysis using the data directly in the lines. It gives (example from ana ~ Louis out of ROX)
- the total number of lines 81
- the first and last line identifier 1348 - 63051 (these identifier are not really bearing sense, since they refer to the order of lines introducdtion in the base, which depends on opportunities)
- the first and last date 814 - 2010
- the "domains" covered, with the number of lines for each domain ; here Politics comes strongly first with 51 lines
- the locations number of lines . NL (not located) is first with 37 lines, then France with 25 lines
- the minimum and maximum number of accesses. 280 and 461 with an average of 379, a very high number, since Louis has been heavily used for test)
- the average graphic saturation 5, of little meaning in this case
- the minimum and maximum complexity of images , 5 because the images are black and white, and probably have not been seriously analyzed
- the line types mainly 75 lines of text, plus 5 books and 5 not identified
- the minimum, maximum and average "love marks" ; here all at 5 because the love markint has not been done
- the links
- the words in the free format part of the lines, sorted by the the number of times each word is found ; here of course Louis comes first, with 85 (then some lines have several Louis). Paris is second with 5 lines, and FIGUIER has 3 lines, because there are three books by Louis Figuier. The other words could be used for more analysis, for instance using the semantic tree.
Select_Up
The semantic tree
Select_Genre the list of genres :
A/ part /C connotations /E country, location /F feature/G genre /H antonum/I instance /L language /M mother/P father/S species /X antiword //synonym, translation
treeg case 1501 : treeGo(1);
trees case 1502 : treeGo(2);
treee case 1503 : treeGo(3);
treem case 1504 : treeGo(4);
treep case 1505 : treeGo(5);
treel case 1506 : treeGo(6);
treen case 1507 : treeGo(7);
treea case 1508 : treeGo(8);
treef case 1509 : treeGo(9);
By number of occurrences :
artist 1745
author 1469
feature 431
second_name 390
role 323
city 316
phase 303
inform 286
group 248
man 205
family 188
place 175
connect 162
machine 158
object 155
building 145
country 132
build 131
scientist 124
fight 120
auto 100
text 91
institution 87
separate 84
corporation 81
animal 79
manager 77
media 74
/X 73
size 69
substance 66
transport 64
vegetal 64
event 63
art 60
shape 58
software 56
teacher 56
science 53
structure 53
time 53
woman 52
assemble 46
region 45
school 44
philosopher 41
association 40
mathematician 37
musician 37
art_work 36
matter 36
nation 36
architect 35
painter 35
number 34
value 34
action 33
computer_professional 31
journalist 31
modify 30
relation 29
poet 28
saint 27
film 24
tool 24
character 23
engineer 23
body_part 22
god 21
month 21
president 21
mood 20
publisher 20
theorist 20
river 19
cloth 17
game 17
writer 17
thinker 16
technology 15
art_critic 14
church 14
curator 14
mineral 14
concept 13
theory 13
designer 12
director 12
instrument 12
king 12
street 12
studio 12
monk 11
performer 11
photographer 11
producer 11
website 11
cineast 10
period 10
university 10
By alphabetic order
/X 73
action 33
animal 79
architect 35
art 60
art_critic 14
art_work 36
artist 1745
assemble 46
association 40
author 1469
auto 100
body_part 22
build 131
building 145
character 23
church 14
cineast 10
city 316
cloth 17
computer_professional 31
concept 13
connect 162
corporation 81
country 132
curator 14
designer 12
director 12
engineer 23
event 63
family 188
feature 431
fight 120
film 24
game 17
god 21
group 248
inform 286
institution 87
instrument 12
journalist 31
king 12
machine 158
man 205
manager 77
mathematician 37
matter 36
media 74
mineral 14
modify 30
monk 11
month 21
mood 20
musician 37
nation 36
number 34
object 155
painter 35
performer 11
period 10
phase 303
philosopher 41
photographer 11
place 175
poet 28
president 21
producer 11
publisher 20
region 45
relation 29
river 19
role 323
saint 27
school 44
science 53
scientist 124
second_name 390
separate 84
shape 58
size 69
software 56
street 12
structure 53
studio 12
substance 66
teacher 56
technology 15
text 91
theorist 20
theory 13
thinker 16
time 53
tool 24
transport 64
university 10
value 34
vegetal 64
website 11
woman 52
writer 17
The role of mind/intelligence/art is to extract sense from chaos, and to express this sense.
In Roxame.2, chaos is represented by the database and what it links onto, and possibly completed by the cam and the web.
The meaning will be a kind of intermediary synthesis, mainly of a textual/parameter type, but possibly (?) with images.
There are several ways of generating this synthesis and make meaning emerge.
- semantic tree of words
- recognition in images
- meaning by statistics
Other : emotions, iconic/symbolic/indexical, globality, concentrate...
The code ; Qwery. Search in assets.
The main file is TREE
SemanticsUp loads Select_A and TREE and produces Select_Up
genreAnal() loads TREE and produ ces Select_Genre