TWI221992B - Information search method of patent literature - Google Patents

Abstract

The invention relates to a technique adopted to information search of patent literature. The method of the invention looks for the corresponding patent literature matching with the keyword in computer system. Moreover, the computer system further has a keyword type table, enabling to identify the possibly related technique type by comparison of keyword and a keyword type table. Furthermore, employ the possibly related technique type to eliminate few impossibly relevant patent literatures for more search (e.g. full text retrieval) or after proceeding search, let users know what would be the more possibly related patent literatures with the relevant technology type.

Description

说明 Description of the invention (the description of the invention should state: the technical field to which the invention belongs, a brief description of the prior art, the content, the embodiments, and the drawings) Techniques for Retrieval of Patent Documents [II. Prior Technology] The importance of i and τ next to the inspection of patent documents is becoming more and more important, because patent = contribution itself is a very important technical document, which is helpful to R & D personnel. Development reference. In addition, when the company develops a new product, it is best to know whether it has infringed on the patents of others, so you can evaluate whether to enter this market, so a patent search is required. 2. The patent literature search provided by the U.S. Patent and Trademark Office website is a well-known and often used website. There are also other countries such as Japan, China, the United Kingdom, the European Patent Office, etc. which provide useful search tools for patent documents. In these patent document search tools, “keyword” queries are provided, but sometimes only “keyword” queries often find patent documents that they do not need. Therefore, some official websites also provide higher-level search terms. In addition to entering “keywords”, users can also limit which years of patent documents to search, or which patent applicants belong to which patent documents belong. Among them, the most important and most useful is the technical classification. For example, the most famous and widely used is the J p c (International Patent Classification) classification. Restricting the "International Patent Classification" is quite easy to use, but there is a problem that the "International Patent Classification" has a lot of subdivision categories. The average user does not know what kind of technology the user wants to check, or the user must send the equivalent. More time to find out which type of technology you want to check belongs to. The problem is that although the International Patent Classification is very useful for searching patent documents, users often do not use the International Patent Classification when searching for patent documents. In addition, due to the increasing volume of patent documents, the amount of patent documents increases very quickly. If you want to maintain a full-text search, you can increase the search speed if you can remove some impossible patent documents. Therefore, the above questions need to be resolved. [III. Summary of the Invention] The main purpose of the present invention is to provide a method for searching patent document data, and to judge the technical category, so that some patent documents that are not relevant can be removed and then searched (such as full-text search), or After searching, let users know which patent documents are more likely to be related to the technology category. In order to achieve the above object, the method for retrieving patent document data of the present invention is used for a user to input at least one keyword into a computer system. The computer system includes a patent document database, so that the computer system finds the keywords related In the patent literature, in addition, the computer system also has a general category of keyword categories. The general category of the keyword category records plural technical categories, and plural characteristic words corresponding to each technical category. The method of the present invention mainly includes the following steps: Step A: Compare the keyword with a keyword category master list 1221992 Step B: According to the empty deposit + female, " " township A is divided into plural technical categories At least one of Zhishanzi has bismuth research, and Dingdao has separated out the candidate keywords. At least one has Ats ... one back picking < 钗 倂 Do n’t cheek and choose the technology category;% of the technology category 'is defined here Step C: Check the c-word in the document according to the patent belonging to the candidate technology category. Step D: Display the patent document according to the method described above. The literature was searched again. … Then can be removed—some impossible related patents according to the present invention. Step A: The β ”—the embodiment method includes the following steps: Compare; 'Compared with a keyword category summary table Step B: Follow the key At least one word is available & Step A The selected technology category is analyzed from a plurality of technology categories; The technology category to which it belongs is defined here as a candidate

Step C: According to step M: Step D: Display * = key to perform a dedicated search; and Patent Documents found with reference to Step ’, where the method shown is ^ I candidate technology category. The user knows that these methods can be used to make patent documents of related technical categories possible after a search. [Fourth, the implementation mode] Special promotion: The 贝 · Bei review committee can better understand the technical content of the present invention, and the preferred specific embodiments are described below.疒 ， ： 七 卩 's application of patent search is based on-computer system

/ Weiyu computer system is a fairly well-known device, anyone with a general knowledge of μ · —swears that everyone knows this invention, and the present invention is not changing the computer system, so it will not be repeated here. Function of computer system. The computer system of the present invention includes a patent document database and a search engine. The computer system can use keywords entered by the user to find relevant patent documents. However, the present invention is special in that a keyword category summary table is required in the computer system so that the method of the present invention can work. The following first introduces the generation method of the keyword category summary table, as well as its thinking and meaning. Please refer to FIG. 1 for a flowchart illustrating the generation method of the keyword category master table 20, and please refer to FIGS. 2 to 5 together. Step 101: Find a feature word for the existing patent document 70 (Englishly called Mining Term, and many well-known technologies have been developed). The existing patent documents 70 have been classified. For example, the most famous and commonly used is the IPC (International Patent Classification) classification. There are many ways to find characteristic words. For example, the existing methods such as grammar parsing programs through natural language processing technology, analyze the noun phrases in the document, and then use some methods and guidelines to filter out inappropriate words. In addition, the phrases appearing in the thesaurus of Patent Document 70 can be extracted. Other well-known methods, such as analyzing the files, accumulate enough statistical parameters, and then extract the phrases whose statistical parameters meet certain conditions. The simplest statistical parameter is to count the frequency of vocabulary, that is, the word frequency, and take out the words that fall into a certain range. Step 102: 1221992 lexical relevance calculation. For example, in many patent documents, as long as the word "3d" appears, there is a high probability of "stereo", which means that "3〇" and "stereo" are synonymous or nearly synonymous. Step 103: vocabulary concentration calculation. For example, in a certain IPC classification, the frequency of the appearance of feature words is increased. Step 104: Establish a keyword category master table 20. The keyword category master table 20 may have two fields, a technical category 21 field and a characteristic word 25 field. Technology category 2 1 For example, IPC classification is used (the embodiment is a schematic diagram, which can be compared with the IPC classification with a five-level display classification). Each technology category 2 丨 corresponds to the characteristic sub 2 5 booth 'character word 2 5 Character word 2 5. Technical category 2 1 is the characteristic word "κ ey-A 1" of "A", "Key, A2", "Key-A3", "Key_A4", "Key-A5", "Key-A6", "Key_A7" "and many more. The format of each feature word in this embodiment may be: Feature words (weight weight, related vocabulary _ 丨, related vocabulary-2 'connected vocabulary, ... related vocabulary -N) For example, the weight of the feature word "Key-Al" is "80" and there are two related words, "Key-Al 1" and "Key-A12". The larger the weighting value, the greater the correlation between this feature word and the corresponding technology category. The calculation of the specific weight is based on the calculation and analysis in step 103. The related vocabulary is calculated and analyzed by step 102. 10 1221992 Please refer to Figure 3 for a description of the flow chart of updating the keyword category. This process can be used to classify new patents and update the keyword category summary table 20. General Table 2 0 and Automatic Step 3 0 1 from Document 71: Find the feature word from the new patent document 71. This 101 step is the same as step 骒 3 0 2: The feature word of the new patent document 71 and the P key 2 0. "comparative analysis. Category Summary

Step 3 0 3: The vector table 30 is obtained, as shown in FIG. 4. The vector table 30 has two fields of technology category 31 (that is, the same as the key word category technology category 21 field) and a weight of 32. 3 0 in the technical category 3 column A ~ D "corresponding to the 3 2 booths are" 5 1 2 "'" 2 0 0 8 "," 1 3 Therefore the new patent document 7 1 is most likely " Class B '. The vector table 3 〇 is used to calculate the weight of the weight 3 2 common ways are introduced as follows, please also refer to the following: Assume that the characteristic word 7 5 a of the new patent document 7 1 is the table (5), office (10), The feature word corresponds to a weight of "1 5". The weight of the feature word can be calculated, such as the frequency of occurrence, the feature word appears in the invention name with the largest weight value, and appears in the abstract block, a weight in the general table 20, such as the vector table.

The value, one (15), round, such as a table, comes in many ways (for example, the weight is the second in the range of patent application 11 1221992, and the weight in other specifications is the smallest). This is a known technology, so it is only here. For example. In addition, it is assumed that the keyword category general list 20a has only three types: A, B, and C, and the characteristic words are "chair (20), wheel (14)", "table (30), wheel (1)", and "office (34), the chair (10) ”. The vector table 77a is generated using simple multiplication and addition. For example, to calculate the weight of the vector table 77a in the "B" category as follows: (3 0x 1 5) + (1 x5) = 455 Note: The feature word 7 5 a has "table" and "wheel" that match the keyword category total Table 20a is the feature word in category "B". Since the weighting weight of the "C" category is "340", which is very close to the weighting weight of the "B" category "45 5", the new patent document may be a "B" category or a "C" category. Step 304: Update the "Keyword Category General Table 20." As new patent documents 71 are added, the "keyword category master table 20" can be updated, but the general practice can wait for a certain number of new patent documents 7 1 to be added, such as waiting for every five thousand patent documents 7 1 After joining, update "Keyword Category General Table 20". In the following, please refer to the first embodiment of how to use the "Keyword Category Master Table 20" to retrieve patents in a more accurate manner. 12 1221992 Step 6 Ο 1: Receive search keywords entered by the user. This step is like a normal search. Step 602: Compare with "Keyword Category General Table 20." This step is the same as step 301 ° step 603:

Draw the vector table. This step is the same as step 302. For example, if the search keywords entered by the user are "table" and "wheel", if the user does not specify where the "table" and "wheel" appear, it can be assumed that the weights of "table" and "wheel" are both "1" ". Assuming that the "keyword category master table 20" is as shown in the keyword category master table 20a of Fig. 5, the vector table can be obtained as the vector table 77b shown in Fig. 7. Step 604: Analyze the possible categories, and find at least one possible category (defined as a candidate technology category in the scope of patent application). Xin The example given in step 603 shows that the "B" category (candidate technology category) is the most likely. Step 605: ~ Search according to patent documents of possible categories. -Assuming that all patent documents have a total of one million, after entering keywords in the conventional technology, if there is no restriction to search for "category", 13 1221992 will perform a full-text search for one million patent documents, so it is possible Find a lot of irrelevant information. Since step 605 is equivalent to helping the user to specify the "category" to search for, that is to say, there is a restriction on "category", so the irrelevant data can be greatly reduced, for example, it can be reduced to find 10,000 patent documents.

It should be noted that step 605 searches according to patent documents of possible categories, so there may be more than one category, and the results obtained by the vector table are needed. For example, if the weight of the most likely category is "1 00", it is assumed that Within 40% of the weight of the most likely category can be counted as other possible categories, so any category with a weight of "40" or more will be classified as a possible category. Step 606: Display the result. This step is like displaying results after a normal search. Please refer to the second embodiment of the present invention for how to use the "Keyword Category Master Table 20" to retrieve patents in a more accurate manner, see FIG. 8.

In the second embodiment, steps 801 to 804 are the same as steps 601 to 604 of the first embodiment, so they are not repeated here. Step 805: Perform a search. This step is the same as the normal search method. In the first embodiment, a search is performed for a range of possible patent documents, but in the second embodiment, the search is performed in the same manner as a general search. Step 806: 14 1221992 show no results. Thanks for stepping? g Λ Field% Step 805 is a general search method, so this step can display the patent documents found in the general way of checking luxury and luxury home cutting. However, since this step goes through steps 802 ~ 804, it can be used when displaying the results. Disc-like traditional methods are different. For example, the patent documents found in the display indicate which patent documents belong to the candidate technology category (such as the search result 9 in Figure 9), so that the user can pay more attention; The patent documents of the technology category are ranked first (as shown in the search result 101 of FIG. 10), and so on. And the emphasis of this step is to show the results. Refer to step 804 to analyze possible categories.

The present invention ′ is not an example of the foregoing embodiments, but is merely an example for convenience of explanation. The scope of the claimed rights shall be based on the scope of the patent application, and is limited to the above embodiments.

15 1221992 [fifth, the figure fE Figure 1 shows the description of the figure Figure 2 shows the description of the figure Figure 3 shows the description of the figure. Fig. 4 is a vector table. Fig. 5 is an explanation. Fig. 6 is the present invention. Fig. 7 is the vector table. Fig. 8 is the present invention. Fig. 9 is the present invention. Fig. 10 is the present invention. 70 Feature word 7 5 a Search result 9 1 General table 20, 20a Technical category 21 Vector table 30 New patent document 7 1 Vector table 77a, 77b, 101 Description of the key word type table 2 0 The flow chart of how to generate the general table 2 0. An embodiment of the Key Category General Table 20. The new keyword category summary table 20 and the automatic classification process Example of scale generation. Flow chart of the first embodiment. Another embodiment. Flow chart of the second embodiment. The first embodiment of the flowchart. 3 of the flowchart of the second embodiment.

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Claims (1)

1221992 Scope of patent application and application_ 1. A method for retrieving patent document data, which is used for a user to input at least one keyword into a computer system. The computer system includes a patent literature database, which makes the computer system find out For the keyword-related patent document, the method mainly includes the following steps: Step A: Compare the keyword with a keyword category summary table, where the keyword category summary table is stored in a computer system and the keyword category summary table Record the plural technology categories and the plural feature words corresponding to each technology category; β Step B: According to step A, analyze at least one technology category that the keyword may belong to from the plural technology categories, which is defined here as a candidate technology Category; step C: searching from the patent documents belonging to the candidate technology category according to the keyword; and step D: displaying the found patent documents. 2 · The method of retrieving patent documents as described in item 1 of the patent application scope, in which the feature words of the keyword category master list correspond to one 3. According to the method of searching for patent document data described in item 1 of the scope of patent application, the candidate technology category found in step B is found by using the weight weight corresponding to the feature word that matches the keyword. 4. The method for retrieving patent documents as described in item 1 of the scope of patent application, wherein the keyword category summary table records related vocabularies that are synonymous with or close to synonymous features. 17 1221992 5 · A method for retrieving patent literature data, which is used by the user * to input at least one keyword into a computer system, the computer system includes a patent literature negative material library so that the computer system finds the keywords related to the keyword Patent document 'The method mainly includes the following steps: Step A: Compare the keyword with a keyword category summary table-': where the keyword category summary table is stored in a computer system, and the key is a sub-category summary table plural Technology category, and the plural feature word corresponding to each technology category; v Step B · According to step a, analyze at least one technology category that the keyword may belong to from the plurality of technology categories, which is defined as a candidate technology category; 'vStepC' searches for a patent document based on the keyword; and step D: displays the found patent document, where the displayed method is the candidate technology category found with reference to step B. 18 1221992 1 0. The method for retrieving patent documents as described in item 7 of the scope of patent application, wherein when the found patent documents are displayed in step D, the patent documents belonging to the candidate technology category are ranked first. 19