Explicit Knowledge - Hierarchical Levels

  1. lexical level and syntax
  2. semantic relations
  3. contexts
  4. events and event properties
  5. event relations
  6. meta-events

Example - Knowledge Representation Derived From Text (NLP)

Hierarchical Level

Example

Input Text

Gilda Flores’ kidnapping occurred on January 13, 1990

A week before, he had fired the kidnappers

Lexical Level & Syntax
(Davidsonian Logic Form)

Gilda_Flores_NN(x1) & _human_NE(x1) & _s_POS(x1,x2) & kidnapping_NN(x2) & occur_VB(e1,x2,x3) & on_IN(e1,x4) & _date_NE(x4) & time_TMP(BeginFn(x4),1990,1,13,0,0,0) & time_TMP(EndFn(x4),1990,1,13,23,59,59)

he_PRP(x1) & fire_VB(e3,x1,x5) & kidnapper_NN(x5) & _date_NE(x6) & time_TMP(BeginFn(x6),1990,1,6,0,0,0) & time_TMP(EndFn(x6),1990,1,6,23,59,59)

Semantic Relations
(Logic Forms + Semantic Relations)

THM_SR(x1,x2) & AGT_SR(x2,e1) & TMP_SR(x4,e1)

AGT_SR(x1,e3) & THM_SR(x5,e3) & TMP_SR(x6,e3)

Contexts

during_TMP(e1,x4)

during_TMP(e3,x6)

Events & Event Properties

event(e2,x2) & THM_EV(x1,e2) & TMP_EV(x4,e2)

event(e4,e3) & AGT_EV(x5,e2) & AGT_EV(x1,e4) & THM_EV(x5,e4) & TMP_SR(x6,e4)

Event Relations

CAUSE_EV(e4,e2), earlier_TMP(e4,e2)

Meta-Events

REVENGE