TWI225997B - Chinese ontology auto-establishment system and method, and storage media - Google Patents

Abstract

The present invention provides a Chinese ontology auto-establishment system and method. The system includes an episode processing unit and an ontology generating unit. The episode processing unit is provided to receive plural Chinese vocabularies and their syntactical functions included in a Chinese vocabulary stream, and obtain multiple strong two-vocabulary sequence combination from the Chinese vocabulary. Each strong two-vocabulary sequence combination includes a first Chinese vocabulary and a second Chinese vocabulary closely adjacent linkage in the multiple Chinese vocabularies, and the number of this strong two-vocabulary sequence combination occurred in the Chinese vocabulary stream is larger than a first minimum supporting degree. The ontology generating unit is coupled to the episode processing unit for receiving multiple strong two-vocabulary sequence combinations. Based on a first aspect corresponding to the first Chinese vocabulary and a syntactical function corresponding to the second Chinese vocabulary, the attribute or operation of the first aspect is obtained.

Description

1225997 V. Description of the invention (1) "-The technical field to which the invention belongs This invention is a system and method for automatically constructing an ontology library, especially a system and method for automatically constructing a Chinese ontology library. The prior art plus the ontology library (Ontol0gy) is a concept that describes the relationship between objects. The first structure is a schematic diagram of the ontology library architecture of the conventional technology. There are several main elements in this architecture, the domain 丨 丨, category 丨 2, concept 1 31, attribute 1 3 2, operation 1 3 3, relationship R 1, R 2, R 3. Field 1 1 Representative

The specific domains to be described by the ontology library can be divided into multiple categories in each domain n. The concepts stored in the ontology library 3 include the concept name M, attributes 132, and operations 133. Relationships can be divided into three types: association R1, generalization R2 and aggregateion R3. Relevance Ri is generally used to indicate the semantic relations between concepts 13. The generalization is a hierarchical relationship with different levels of abstraction. The higher the level of the concept, the more abstract it is. The group a R 3 is a group association that is used to represent the collective relationship of concepts. A well-established ontology library can usually be used by search engines, knowledge management, e-commerce and other application software to increase search efficiency or improve document processing capabilities. There are currently several common English ontology libraries, such as Wordnet, Cyc, and Chinese ontology libraries, such as HowNet, which can be downloaded and used by users.

There are several established ontology libraries that can be used, such as Wordnet, Cyc, and HowNet. However, because of the relationship between the domains, the concepts provided by it 13, attributes 132, operations 133, and relations R1 are provided. R2, R3 do not know that it can fully meet the needs of users, because the ontology library is used

〇213-l〇l〇8 ™ 7 (Nl); SN〇WBALL.ptd Page 6 1225997 V. Description of the invention (2) = Department:: Needs: Ontology library 'Most need to be full because of the field ... I need to meet the expectations, and the system must develop its own ontology library. The method of constructing the ontology library is artificial construction.] The official uses a large number of all concepts in the q domain, 13, attributes, operations, 133, points. Shouli Libei uses this method to build the ontology inventory. There are several missing ontology seats. Second, a lot of manpower '再者' # Use two or more people to construct H ::: It will take a lot of time because of personal views. $: 时 袖, Jing's disagreement. 'After that, due to the rapid evolution of knowledge, the use of humans to build the ontology library' will often be slow due to the update speed, so that the method can meet the current needs of the application system. θ In order to avoid the above disadvantages, another feasible construction method is to use a large file to construct the off-line ontology library (referred to as the ontology library to automatically build professionals for repair & Update the ontology library more efficiently. The library is mostly used for the automatic construction of the ontology library in English. The grammar parser uses a large number of files to pinch you 1, ⑽, ㈣, and the relationships R1, R2, and R3: However, due to the complexity of Chinese grammar rules and the lack of a corpus of grammars, a grammar parser cannot be directly applied in the automatic construction of Chinese ontology libraries. A system and method for automatically constructing a Chinese ontology library. Therefore, in view of this, an object of the present invention is to provide a Chinese ontology library automatically.

1225997

V. Description of the Invention (3) In addition to the intelligent system and method, it can be used to automatically construct the ontology library, and can be used by humans to update the ontology library more efficiently. τ minus method: According to the present invention, the automatic construction system of a text body library and first recognizes a file, a Chinese dictionary, a file processing processing unit, a sentence processing unit, an ontology library generation unit, and an ontology ^ file processing. By inputting at least one file, # 出 文件! 2ί nouns and verbs become -Chinese word stream, this string machine drew a sequence of Chinese words and their parts of speech. The concept processing unit input 〇 = the nouns obtained by the file processing unit, analyze the strength of the relationship between any two nouns, and cluster together entities that belong to the same concept. Sentence = processing unit is used to input the Chinese word string machine obtained by the file processing unit to generate multiple episodes, one sentence is a sequential combination of multiple words under a sentence window size . Ontology library generation Shan Fan After inputting the sentence set generated by the sentence processing unit, it compares each sentence with the concept generated by the concept processing unit. If the sentence is an entity of a concept, The concept name is marked after it. After the concept annotation is completed, the ontology library generation unit will use a sentence pattern. The rules extract attributes, operations, and associations from the sentences marked with the concept names above. The ontology library generation unit constructs a domain ontology library after extracting attributes, operations, and associations. Embodiment 2 FIG. 2 is a schematic diagram showing a system of a text body library automatic construction system according to an embodiment of the present invention. According to the embodiment of the present invention, the text body library automatic construction system 2 includes

1225997

V. Description of the invention⑷ Document 21 24, Sentence 22, Document processing unit 23, Concept processing unit Jff processing unit 25, Tai § # Temple Tai 丄 w Wen 侔 9 1 Early generation 26 and ontology generated by the ontology library Library 27. The input data of the electronic Chinese order system 4 ^ 本体 Ontology library automatic construction system is or other electronic format that can be used to store Chinese documents in formats such as Word, HTML, and Power Point. -System Chinese Electronic Characters', which contains multiple Chinese words, and each script contains at least one Chinese character. ; * 意 Ϊ 3, 3 in b, 3 C C ί ^ Π ^ Word U = meaning ΓΓ and verb. First, use the I word Λ Ding sentence segmentation and part-of-speech tagging, and then use the auxiliary word; op word filter) method to find a meaningful name. Second, we will use the actual data to explain the above process. Maradona: The "Hand of God" made Argentina Chinese embarrassed; after processing the document 70 2 3 using the Chinese word segmentation system to perform word segmentation and tagging, as shown in Figure 3a, this sentence will be ::: Argentina, "God of War", "Maradona" and other 14 words, each word is suppressed by its Γ brackets to describe its part of speech, with N as the representative noun, and V as s5], P Represents prepositions, PARENTHESISCATEGORY stands for II〇DCATEG〇RY stands for period. The file processing unit 23 then uses nonsense words to filter (st〇p㈣futer) square / T-limited nouns based on narrative = words and parts of speech. Verbs, for example, Na, Nb, Nc, Vc, 4 part-of-speech words, as shown in Figure 3b, become a stream of Chinese words. The concept processing unit 24 will enter the name obtained by the file processing unit 23

Page 9 1225997 V. Description of the invention (5) For the words, first select the term with a higher term frequency multiplied by the inverse document frequency, and then use the unsupervised learning in neural network technology. A self organization map (SOM) model analyzes the strength of the relationship between any two nouns and brings together entities that belong to the same concept. The sentence processing unit 25 is used to input a stream of Chinese words obtained by the file processing unit 23 to obtain a plurality of sentence breaks (e p i s 0 d e). A sentence is a sequential combination of multiple words under a window size, as shown in Figure 3c, which contains two sentences with a sentence size of 3, including, Argentina ( N c) —God of War (N a) —Maradona (^ | 13) " Argentina (] ^ (:) — defeated (Vc) _England (Nc) n. Figure 4 shows the basis of this The schematic diagram of the sentence segmentation algorithm of the embodiment of the invention includes virtual codes from 400 to 4 0. The variables, parameters and data structures required in the algorithm are described as follows: (1) WindowSize is called sentence segmentation The amount is the input parameter of the algorithm and limits the number of words included in each sentence; (2) miniminn —Support is called the minimum support amount. It is the input parameter of the algorithm and limits the minimum number of occurrences of each sentence; (3) y < t " t2, ···, tk> is a data structure used to record in which sentences + (sentence) the term sequence of h, t "..., tk appears. (4) · · ,, > .cardinaUt " ^ The number is used to record the sequence of the words tl, t2, ..., tk appearing a total of several times. (5) ti · The P〇Sition variable is used to record the position of ^ in the sentence

Page 10 1225997 V. Description of the invention (6). Tian Yong abandoned ~ 'only, n to ίκ eight, the time complexity required is also very high, in order to speed up the implementation of the algorithm, the first time you read the data, the number of each sentence appears ( sentence — num), recorded in υ < ν, as shown in 401, can prevent the need to re-scan all sentences during subsequent calculations. If y < t " heart, ..., heart>. Cardinality is greater than the minimum support amount (minimum support), then this word is a strong word and must be recorded to the strong word set as shown in Figure 402. Next 'permutations and combinations based on all the early columns contained in the strong word set, such as the any-two-word order group person in 4 Μ < tt 3, the candidate two-word order combination 〇4. ^ 汁 〇 < ta, & > must satisfy that tb appears after t, and the spacing between ta and tb does not exceed the sentence break size (WindwwSize). a, “ti, t2, ..., ν. —M most = perseverance in the sequence combination, then this candidate two-word sequence will be followed by the person y into the courage, and the cross ΠρΓσ ^ 9 Μ sequence combination will record a strong Large word sequence (large-2-sequence) 隼 φ, 丄, — juice sequence (large-2-Sequen ^ as in 406. When finding a large-k-Sequence set ^ set price, go down To find strong k-word order and each strong k-word order 隼 人 &#;, according to the set of strong two-word order, L ... <Wk>; the support amount can be used 凟 algorithm will continue to find, There will be no new strong word order included in other orders. The strong k word order is the same as the strong k order we delete, σ, leaving behind the need of the body library, just find the sentence (episode). It is sufficient to construct this set, because the two-two order (large ~ 3-se (luence) has a strong word order of two or three words

1225997 V. Description of Invention (7)

Uafge-se (luence) collection is enough to contain the resources needed to build the ontology library

After the ontology library generating unit 26 inputs the sentence set generated by the sentence processing unit 25, it compares each sentence with the approximate f generated by the concept processing unit 24. If the word in the sentence is a certain concept, Entity, the concept name is marked after it. For example, after concept clustering in the concept processing unit 24, "South Korea", "Italy", and "Brazil" belong to, and the entity of the team "concept" is: "Champion" belongs to "Award π" Conceptual entities, Beckham ", " Li Waduo belongs to the concept of 'players ". Therefore, the final marked results are as follows:' South Korea (Nca | Team), Italy (Nca | Team) , Brazil (Nca 丨 Team Champion (Nad | Award), England (Nca 丨 Team), Beckham (Nba 丨 Player), Li Wadu (Nba | Player), South Korea (Nba | Team).

Generally speaking, the words that appear together often represent the semantic relevance of these words. Taking simple Chinese grammar as an example, you can find it in the sentence, "subject + verb + acceptor" or "subject + verb + Complements are related to simple sentence patterns. However, as far as the present invention is concerned, it is not desirable to use the grammatical syntactic relation to automatically construct the ontology library, but to hope that a large number of documents will generally pass through the case-attribute-value. , 丨 丨 concept-association-concept (concept-association-concept) 丨 or "entity-operation (instance-operation)," and other forms of the fundamental model (pa 11 er η) 'from the sentence obtained above (Ep 丨 s 〇de) order relationship to find the attributes, operations and relationships in the ontology library. After the concept labeling is completed, the ontology library generation unit 26 will use the following sentence pattern base rules to extract from the sentence with the labeled concept name above

0213-10108TW (Nl); SNOWBALL.ptd Page 12 1225997 V. Description of the invention (8) Out attributes, operations and associations. Fig. 5a is a schematic diagram showing the part of speech of a Chinese verb according to an embodiment of the present invention, which includes verb parts of 511 to 515. FIG. 5b is a schematic diagram showing part-of-speech of Chinese nouns according to an embodiment of the present invention, and includes part-of-speech of 5 21 to 5 31. There are three extraction rules for attribute 132. (1) the number of words in a sentence is 2; (2) the first word in a sentence is an instance; (3) the second word in a sentence Chinese part-of-speech tagging is individual nouns 5 2 2. May belong to abstract nouns 523, abstract nouns 524, collective nouns 525, ordinary local nouns 528, or inferiority predicates 51 4. For example: a sentence broken into π Brazil (Nca I team), style of play (Nad), "ball style •• is the attribute of" Brazil ". There are three extraction rules for operation 1 3 3, ( 1) The number of words in the sentence is 2; (2) The first word in the sentence is an instance; (3) The Chinese part of speech of the second word in the sentence is marked as inaction Predicate 5 丨 1. For example: The sentence “Brazil (Neal team), winning the bid (VA),” can be retrieved, winning the bid is the operation of “Brazil π”. There are three extraction rules associated with R3. (1) the number of words in the sentence is 3; (2) the first word and the third word in the sentence are an instance; (3) in the sentence The Chinese part-of-speech of the second word is marked as transitive verb (Vb, VC, VD, VE, VF) 512, state and transitive verb (vi, vj, νκ, VL) 515, individual noun 522, and can be an abstract noun 523 , Abstract nouns 5 2 4, collective nouns 5 2 5 or ordinary local nouns 5 2 8. For example: a sentence is broken as "Brazil (Neal team), win (VJ3), championship (Nad | award)", can be taken out "win" is the relationship between "Brazil '" and "champion π. Ontology library generation unit 26 retrieves attributes 132, operations 133 and associations

1225997 V. Description of invention (9) After R3, a domain library can be constructed. Fig. 6 is a schematic diagram showing the ontology library architecture according to an embodiment of the present invention. This ontology library is constructed according to 4 40 articles of the 2002 World Cup football game related news. FIG. 7 is a flowchart of a method for automatically constructing a text body library according to an embodiment of the present invention. First, at step S71, at least one file 21 is input, and the Chinese word segmentation system (CK IP) is used to perform word segmentation and part-of-speech tagging of Chinese sentences. In step S72, a stop word filter method is used to delete meaningless words generated in step S71, such as punctuation marks, complements, and the like, leaving the nouns and verbs in a limited form. Then, as in step S 7 3, input the nouns obtained in step S 7 2, first select the term with a higher term frequency multiplied by the inverse document frequency, and then use the neural network-like technology The unsupervised learning self-organization map (SOM) model analyzes the strength of the relationship between any two nouns and brings together entities that belong to the same concept. As shown in step S 7 4, the words and part-of-speech obtained in step S 7 2 are input to generate multiple episodes. The algorithm is shown in FIG. 4. A sentence is a sequential combination of multiple words under a window size, as shown in Fig. 3c, which contains two sentences with a sentence size of 3, and the sentence "including" Argentina ( Nc)-God of War (Na)-Maradona (Nb), and, Argentina (Nc)-Defeated (Vc)-England (Nc) " Next, as shown in step S75, 'input by step S74 The generated sentence set is compared with each sentence and the concept generated in step S73, if the word in the sentence is a certain concept

〇213-101〇8BfF (Nl); SNOWBALL.ptd Page 14 1225997 V. The entity of the invention description (10), then the concept name is marked as shown in step S76, using the above-mentioned genus + health, The operation model rule is extracted from the above-mentioned sentence marked with the concept name to construct the attribute 132, operation 133, and association R3 of the ontology library. In step S77, the entity and attribute 132 '^ associated with R3 generated in step S76 are integrated to construct a domain ontology library. Baoxing: The author and scholar invented a kind of computer-readable storage medium. = -Computer program 'The above computer program is used to implement the Chinese ontology library method. This method will perform the steps described above. FIG. 8 is a schematic diagram showing a computer-readable storage medium according to the text structure method in the embodiment of the present invention. It is automatically built to store-computer program 820, which is used to implement the Chinese second storage and white media two 0 'method. Zhuang Lei Nao 建构 4 4 people use an automatic construction method from the existing text body library. The electronic private form contains seven logics, which are word segmentation and pole xi 1 p series 821, delete the meaningless word logic sutra S99: ”and铩 Zuo Shengluo a "" Logic 8 22, Cluster Concept Logic 8 23, Tu Wa

Sentence logic 824, labeled real I # disc script only constructs ^ ^ Logic logic only 82 5. Retrieve attributes and operations, and M-connect logic 826 and generate ontology library logic 82 7. And therefore, with the Chinese language and method provided by the present invention, it can be used to automatically capture and broadcast the Taibang Temple ice basket to build a system and update the ontology database more efficiently. The use of a knife T The present invention has been disclosed in the preferred embodiment as described above. The lack of beans restricts the present invention. Any cooked flower ... is not used within the scope of God and can be an artist without departing from the scope of the present invention. As defined by the scope of the attached patent application = protection of the month

1225997 Brief description of the drawings In order to make the above-mentioned objects, features and advantages of the present invention more comprehensible, the following specific examples are given in conjunction with the accompanying drawings to explain in detail as follows: Figure 1 shows the essence of the conventional technology Library architecture diagram; Figure 2 is a schematic diagram of a system for automatically constructing a text body library according to an embodiment of the present invention; Figures 3a, 3b, and 3c are schematic diagrams of example data according to an embodiment of the present invention; and Figure 4 is a diagram A schematic diagram of a sentence segmentation algorithm according to an embodiment of the present invention, FIG. 5a is a schematic diagram of part of speech of a Chinese verb according to an embodiment of the present invention, and FIG. 5b is a schematic diagram of part of speech of a Chinese noun according to an embodiment of the present invention; Schematic diagram of the ontology library architecture according to the embodiment of the present invention, FIG. 7 is a flowchart showing a method for automatically constructing a text body library according to an embodiment of the present invention; 〇 FIG. 8 is an automatic construction of a text body library according to an embodiment of the present invention The method computer can read the schematic diagram of the storage medium. Explanation of symbols 1 1 ~ domain 1 2 ~ category 1 3 ~ concept 1 3 1 ~ concept name;

0213-10108TW (Nl); SN〇WBALL.ptd Page 16 1225997 Schematic description 1 3 2 ~ attribute; 1 3 3 ~ operation; 21 ~ file; 2 2 ~ Chinese dictionary; 23 ~ file processing unit; 2 4 ~ Concept processing unit; 25 ~ Sentence processing unit; 26 ~ Ontology library generation unit; 27 ~ Ontology library; 5 1 1, 5 1 2 ..... 5 1 5 ~ Chinese verb part of speech; 5 2 1, 5 2 2 ..... 5 3 1 ~ Chinese noun parts of speech; 80 ~ storage media; 820 ~ Chinese ontology library automatically constructs computer programs; 8 2 1 ~ word segmentation and tagging part of speech logic; 8 2 2 ~ delete meaningless word logic; 82 3 ~ cluster concept logic; 824 ~ construct sentence logic; 82 5 ~ mark entity logic; 82 6 ~ fetch attributes and operations and related logic; 82 7 ~ generate ontology library logic.

0213-10108 ™ F (Nl); SNOWBALL.ptd page 17

Claims (1)

1225997 6. Scope of patent application1. A Chinese word stream, which corresponds to each library, includes: A sentence sentence stream contains the above-mentioned combination of Chinese words, and each of the above is immediately supported by the related strong two-word sequence group. Degree; The text body library is from the Chinese word string, and one of the Chinese words is described in the ontology library. The above-mentioned first word order combination of the strong double words corresponds to the above-mentioned reasoning unit, the sequential part of speech, and the strong word order One of the first Zhonghe appears in the above and the generating unit, the sequence combination, and the above-mentioned second dynamic construction system corresponding to the text, which is suitable for inputting a Chinese language including a sequential plural Chinese word and a language to generate a Chinese language. The ontology receives the above-mentioned Chinese word stream, and the above-mentioned Chinese words and the plural strong two-word sequence group combination corresponding to each of the above-mentioned Chinese words include a written word and a second Chinese word existing in the above-mentioned linguistic words, and ^ The number of times that the Chinese word stream is greater than _ is first coupled to the sentence processing unit, and is used to connect according to each of the above strong two-word sequence combinations One of the first concepts in the first concept and the above attributes or operations of each of the above strong concepts 2. As in the patent application scope system, the first Chinese word in the ontology library is the body and the strong two-word order The group property is a noun or a state that is inferior to the above-mentioned first concept of the above-mentioned first concept. 3. If the above-mentioned part of speech corresponding to the Chinese word in the scope of the patent application, obtains the attribute or an operation, the above-mentioned Chinese ontology database is established according to the above-mentioned first outline. In the automatic construction and generation unit of the Chinese text body library described in item 1, if the above-mentioned strong two-word sequence group corresponds to the above-mentioned second predicate of the second Chinese word in the first-in-one combination of the first concepts, the first Two Chinese words are automatically constructed in the Chinese text body library described in item 2 0213-10108TWF (Nl); SN〇WBALL.ptd page 18 1225997 6. Patent application scope system, in the above ontology library generating unit, the above noun is a A material noun, an abstract noun, an abstract noun, a collective noun, or a common local noun. 4 · The Chinese text body library automatic construction system according to item 1 of the scope of patent application, wherein in the ontology library generating unit, if the first Chinese word in the strong two-word sequence combination corresponds to one of the first concepts described above The second nature of the first Chinese word and the second Chinese word in the strong two-word sequence combination is a delay in action. The second Chinese word is the operation corresponding to the first concept. 5. The automatic construction system of the Chinese text body library as described in item 1 of the scope of the patent application, wherein the sentence processing unit obtains plural strong three-word sequence combinations from the Chinese words, and each of the above strong three-word sequence combinations includes existing in Among the Chinese words, there is a third Chinese word, a fourth Chinese word, and a fifth Chinese word that are closely related to each other, and the number of times that the strong three-word sequence combination appears in the Chinese word stream is greater than the second minimum support degree. . 6. The automatic construction system of Chinese text body library as described in item 5 of the scope of patent application, wherein the ontology library generating unit receives the strong three-word sequence combination according to the third Chinese word in the strong three-word sequence combination. One of the second concepts, one of the third concepts corresponding to the above three strong words, and one of the parts of speech corresponding to the upper Chinese words can be related to one of the third concepts. In the sequential combination, the fourth to the strongest three-word sequential combinations in the above-mentioned fourth to corresponding to the above-mentioned second concept and system 7. If the scope of the patent application is unified, wherein the ontology library described in item 6 of the Chinese text library In the automatic construction generating unit, if the above strong three-word sequence group 〇213-108 TW (Nl); SNOWBALL.ptd 1225997 VI. The third Chinese word in the scope of the patent application corresponds to one of the second concepts described above, the second entity two, and the strong three-word sequence combination of the above fifth Chinese words corresponds to one of the third concepts described above. The entity and the fourth part of the fourth Chinese word combined in the order of the strong three words are an action and a predicate. Then, the fourth Chinese word corresponds to the relationship between the second concept and the third concept. 8. The Chinese text body library automatic construction system according to item 6 of the scope of patent application, wherein in the ontology library generation unit, input the above-mentioned relations corresponding to the above-mentioned concept and the third concept to establish the above-mentioned Chinese ontology library. 9. · A method for automatically constructing a Chinese ontology database, suitable for inputting a stream of Chinese words. The stream of Chinese words includes a sequence of plural Chinese words and a part of speech corresponding to each of the above Chinese words to generate a Chinese ontology. The method includes the following steps: receiving the above-mentioned Chinese word stream, the Chinese word stream including the above-mentioned Chinese words in order and the above-mentioned part of speech corresponding to each of the above-mentioned Chinese words; obtaining a plural strong two-word sequence combination 'each- The above strong two-word order is 纟 and the person includes a first-Chinese ^ and a second Chinese word which are closely related in the Chinese words, and the strong two-word order combination appears more than one in the Chinese word stream. The first minimum support product; according to one of the first concepts corresponding to the first Chinese word in each of the strong two-word sequence combinations and the above-mentioned part of speech corresponding to the second Chinese word in the strong two-word sequence combinations, corresponding to The above & a concept = attribute or an operation; and 〇2l3-101〇8TWF (Nl); SNOWBALL.ptd Page 20 1225997 6. Scope of patent application Based on the above attributes or operations corresponding to the above first concept, the above-mentioned Chinese ontology library is established. 10. According to the method for automatically constructing a Chinese text body library as described in item 9 of the scope of the patent application, in obtaining the attributes corresponding to the first thought or the above-mentioned operation steps, if the first Chinese word of the strong two-word sequence is combined In order to correspond to one of the first concepts of the first entity and the second Chinese word in which the strong two-word sequence is combined, the part of speech is a noun or an inferiority predicate, then the second Chinese word corresponds to the above The above attributes of the first concept. 11. The method for automatically constructing a Chinese text library as described in Item 10 of the scope of patent application, wherein the above-mentioned noun is a material noun, an aphoristic noun, an abstract noun, a collective noun, or a common local noun. 12. According to the method for automatically constructing a Chinese text body library as described in item 9 of the scope of the patent application, in obtaining the attributes or operation steps corresponding to the first concept, if the first Chinese word in the strong two-word sequence combination is obtained The first part of speech corresponding to the first entity of the first concept and the strong two-word sequence combination of the first part of the Chinese word is an inferiority predicate, then the second Chinese word corresponds to the first concept The above operation. 1 3 · The method for automatically constructing a Chinese text library as described in item 9 of the scope of patent application, further comprising the following steps: Obtaining plural strong three-word sequential combinations from the above Chinese words, each of the above strong two-word sequential combinations including existing in the above Chinese The first, second, and fourth Chinese words and the fiftieth Chinese word are immediately related to each other in the words, and the strong two-word sequence combination appears more frequently in the Chinese word stream than the above 1225997 6. Scope of patent application The second smallest support. 14. The method for automatically constructing a Chinese text library in Item 2 of the patent scope of Shenyan, including the following steps: receiving the above-mentioned strong three-word sequence combination, and corresponding to the third Chinese word corresponding to the above-mentioned strong two-word sequence combination A second concept, a third concept corresponding to the fifth Chinese word in the strong three-word sequence combination, and a part of speech corresponding to the fourth Chinese word in the strong two-word sequence combination, to obtain a corresponding second word Concept and one of the third concepts mentioned above. 1 5 · According to the method for automatically constructing a Chinese text body library as described in item 4 of the scope of the patent application, in the above-mentioned connection steps corresponding to the above-mentioned second concept and the above-mentioned third concept, if the above-mentioned Three Chinese 3 is a second entity corresponding to one of the above-mentioned second concepts, and the fifth Chinese word of the above-mentioned strong three-word order combination is a third entity corresponding to one of the above-mentioned third concepts' and the above-mentioned strong three-word order combination The above-mentioned part of speech of the fourth Chinese word is an action and a predicate. Then, the fourth Chinese word is the above-mentioned connection corresponding to the first concept and the third concept. 16. The method for automatically constructing a Chinese text body library as described in item 14 of the scope of patent application, further comprising the following steps: 1. Enter the above-mentioned relations corresponding to the above-mentioned second concept and the above-mentioned third concept to establish the above-mentioned Chinese ontology library. 17 · — A computer-readable storage medium for storing a computer program that is loaded into a computer system and causes the 1 computer system to execute as described in items 9 to 16 of the scope of patent applications. The method described. '