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ce0d85d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 | :- dynamic member/2, induced_rule/2, cooccur/3.
% --- Background co-occurrence facts (generated by XSLT from ontology.xml) ---
cooccur('stack','stack_op',1).
cooccur('dup','stack_op',3).
cooccur('drop','stack_op',3).
cooccur('swap','stack_op',3).
cooccur('over','stack_op',2).
cooccur('operations','stack_op',2).
cooccur('dictionary','dict_op',2).
cooccur('words','dict_op',3).
cooccur('contains','dict_op',3).
cooccur('holds','dict_op',0).
cooccur('compiler','compiler_word',2).
cooccur('compiles','compiler_word',2).
cooccur('colon','compiler_word',2).
cooccur('semicolon','compiler_word',3).
cooccur('defined','compiler_word',1).
cooccur('interpreter','interpreter_word',1).
cooccur('interprets','interpreter_word',1).
cooccur('pocketforth','engine_word',0).
cooccur('engine','engine_word',2).
cooccur('pocket','engine_word',1).
cooccur('executes','engine_word',2).
cooccur('inside','engine_word',1).
cooccur('harness','engine_word',0).
cooccur('transformer','meta_word',0).
cooccur('xslt','meta_word',2).
cooccur('asp','meta_word',3).
cooccur('xml','meta_word',3).
cooccur('code','meta_word',3).
cooccur('generates','meta_word',2).
cooccur('validates','meta_word',3).
cooccur('architecture','meta_word',3).
cooccur('constraints','meta_word',1).
cooccur('learns','learning_word',5).
cooccur('statistical','learning_word',3).
cooccur('relationships','learning_word',5).
cooccur('text','learning_word',1).
cooccur('cooccurrence','learning_word',2).
cooccur('pmi','learning_word',2).
cooccur('embeddings','learning_word',6).
cooccur('neural','learning_word',3).
cooccur('network','learning_word',4).
cooccur('capture','learning_word',2).
cooccur('similarity','learning_word',1).
% --- Concept hierarchy ---
concept(forth_word).
is_a(forth_word, root).
concept(stack_op). is_a(stack_op, forth_word).
concept(dict_op). is_a(dict_op, forth_word).
concept(compiler_word). is_a(compiler_word, forth_word).
concept(interpreter_word). is_a(interpreter_word, forth_word).
concept(engine_word). is_a(engine_word, forth_word).
concept(meta_word). is_a(meta_word, forth_word).
concept(learning_word). is_a(learning_word, forth_word).
% --- Seed members ---
member('stack', stack_op).
member('dup', stack_op).
member('drop', stack_op).
member('swap', stack_op).
member('over', stack_op).
member('operations', stack_op).
member('dictionary', dict_op).
member('words', dict_op).
member('contains', dict_op).
member('compiler', compiler_word).
member('compiles', compiler_word).
member('colon', compiler_word).
member('semicolon', compiler_word).
member('defined', compiler_word).
member('interpreter', interpreter_word).
member('interprets', interpreter_word).
member('pocketforth', engine_word).
member('engine', engine_word).
member('pocket', engine_word).
member('executes', engine_word).
member('xslt', meta_word).
member('asp', meta_word).
member('xml', meta_word).
member('generates', meta_word).
member('validates', meta_word).
member('learns', learning_word).
member('statistical', learning_word).
member('relationships', learning_word).
member('embeddings', learning_word).
member('neural', learning_word).
member('network', learning_word).
% --- ILP Engine (generated by XSLT from ontology.xml) ---
candidate_score(Concept, Context, Precision, Recall, F1, PosCovered) :-
findall(W, member(W, Concept), Pos),
length(Pos, PosTotal),
PosTotal > 0,
findall(W, (member(W, Concept), cooccur(W, Context, _)), Covered),
length(Covered, PosCovered),
findall(W, cooccur(W, Context, _), AllWithContext),
length(AllWithContext, AllTotal),
(AllTotal > 0 -> Precision is PosCovered / AllTotal ; Precision = 0),
Recall is PosCovered / PosTotal,
(Precision + Recall > 0 -> F1 is 2*Precision*Recall/(Precision+Recall) ; F1 = 0).
best_rule_for_concept(Concept, BestContext, BestF1) :-
setof(Context, W^Cnt^cooccur(W, Context, Cnt), Contexts),
findall((F1,Context), candidate_score(Concept, Context, _, _, F1, _), Scores),
Scores \= [],
max_member((BestF1, BestContext), Scores).
induce_rules :-
retractall(induced_rule(_,_)),
forall(concept(C),
( best_rule_for_concept(C, Context, F1),
F1 > 0.2,
assertz(induced_rule(C, Context)),
format("Induced: is_a(W, ~w) :- cooccur(W, '~w'). F1=~2f~n", [C, Context, F1])
; format("No rule for ~w (insufficient evidence)~n", [C])
)).
propose_new_members :-
forall(
( cooccur(W, Context, Cnt), Cnt >= 1,
induced_rule(Concept, Context),
\+ member(W, Concept),
\+ W = Concept ),
format("Propose: ~w should be is_a(~w) because cooccurs with '~w' cnt=~w~n",
[W, Concept, Context, Cnt])).
generate_ontology_xml :-
format("<ontology name=\"Induced-Next\">~n"),
forall(concept(C),
( induced_rule(C, Ctx),
format(" <concept id=\"~w\" is_a=\"forth_word\" induced_context=\"~w\">~n", [C, Ctx]),
forall(member(W,C), format(" <member word=\"~w\"/>~n", [W])),
format(" </concept>~n")
)),
format("</ontology>~n").
:- format("=== PocketLearn ILP Induction (XSLT-generated from PocketForthConcepts) ===~n"),
induce_rules,
format("~n=== Proposing new members ===~n"),
propose_new_members.
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