PROLOG and WordNet (2)

(4) wn_ent.plent is the abbreviation of entailment. Only verbs have an implication relationship. For example, snoring implies "sleeping ". The file wn_ent.pl stores all semantic implication relationships, which are predicates: ENT (synset_id_1, synset_id_2 ). The verb set pointed to by synset_id_2 contains a set of synset_id_1. In the working with WordNet section, the predicates find_ent/3 and find_ent_chains/2 are introduced. (5) wn_sim.plsim is the abbreviation of similar. A "similar" relationship occurs between adjectives and acts between the associated synonym sets. The similarity predicates are: SIM (synset_id_1, synset_id_2). SIM (synset_id_2, synset_id_1). The "similarity" relationship is bidirectional and self-inverse. The predicate parameter points to two synonym sets, or head synset. Otherwise, head synset and satellite synset. Two satellite synsets are not "similar", because if they are similar, they are classified as the same set. For example, a satellite synset contains the synonyms devious (curved), circuitous (roundabout), and Roundabout (detour), which are queried using the predicate SIM/2, A head synset similar to the word is obtained, which indirectly contains the word. In the working with WordNet section, the predicates find_sim/2 and find_sim_meaning/1 are introduced, and the experiment is "similar. (6) The content of the wn_mm.pl, wn_ms.pl, and wn_mp.pl files involves the semantic "part word" relationship, that is, the overall and partial relationship. If y has a member X, or X is a part of Y, X is the "part word" of Y ". The "part word" relationship is only applicable to nouns. In turn, it is called the "Overall word" relationship, that is, Y is the "Overall word" of X ". Mm refers to member Meronym, which refers to members and groups, parts and whole. For example, person is part of faculty. In other words, faculty is the overall word of person. The predicate mm (synset_id_1, synset_id_2) in the wn_mm.pl file represents this relationship. Synset_id_1 represents the "partial" of synset_id_2, and synset_id_2 represents the "Overall" of synset_id_1 ". Note that the word in Set 1 is the "partial word" of the word in Set 2, and cannot be reversed. The word in Set 2 is the "partial word" of the word in Set 1 ". The explanation in the initial Prolog document (fellbaum et al. 2003a) of WordNet is incorrect. A ms represents a part of a substance ". For example, water is a part of tears, because water or water is a component of tears. From the reflection relationship of "part of words" in matter, tears are the "Whole word" of water ". The predicate is in the form of MS (synset_id_1, synset_id_2). synset_id_1 is the "part word" of synset_id_2. In the reflection relationship, synset_id_2 is the "Whole word" of synset_id_1 ". MP indicates the "part word" of the component ". For example, a table leg is a part of the table because the table has legs and the table leg is a part of the table. Conversely, the table is the "Overall word" of the table leg ". The predicate is in the form of MP (synset_id_1, synset_id_2). The two parameters represent "partial words" and "Overall words" respectively ". (7) The wn_cs.pl file wn_cs.pl describes the word meanings of a verb. The two parameters of the predicate CS (synset_id_1, synset_id_2) indicate the synonym set, and the former generates the latter. For example, CS (200017177,200011887 ). the first parameter corresponds to anesthetize, and the second parameter corresponds to kip, sleep, slumber, and so on, the latter is the result of the former. (8) The wn_vgp.pl file wn_vgp.pl processes the relationship between verbs. The predicate is vgp (synset_id_1, w_num_1, synset_id_2, w_num_2 ). synset_id_1 and synset_id_2 represent two synonym sets. w_num_1 and w_num_2 indicate the number of words in the set and indicate that vgp is a literal meaning rather than a semantic relationship. For example, the predicate vgp (200072911,0, 200437549,0). query the file wn_s.pl and wn_g.pl, and return the synonym set 200072911, including grow, develop, produce, get, and acquire. They mean "generating substantial internal and external changes" and produce similar meanings: "acquiring or generating quality characteristics ".