TW201539212A - Construction method, database system, computer program, and computer readable recoding medium of relevant literature inquiry - Google Patents
Construction method, database system, computer program, and computer readable recoding medium of relevant literature inquiry Download PDFInfo
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本發明係有關於一種文獻關聯性建構方法，特別是指統整每一篇文獻資訊中關鍵字出現次數、頻率，藉此分析出每一篇文獻資訊間彼此的關聯性之方法，以及包含有該方法的資料庫系統、電腦程式、電腦可讀取紀錄媒體。The invention relates to a method for constructing a document relevance, in particular to a method for synthesizing the number and frequency of occurrences of keywords in each document information, thereby analyzing the correlation between each document information, and including The method's database system, computer program, and computer can read the recording medium.
隨著資訊的進步，一般人取得資訊的方式越來越簡便，以電腦或手機等裝置透過網路連結到對應的資料庫即可查詢到資料，但使用者面對大量的資料無法在短時間內瀏覽資料庫中每一篇文章的摘要或內容，因此遂有發明人研發出如中華民國發明專利公告號I289770之「文章關鍵字登錄系統及方法及其電腦可讀取之紀錄媒體」。發明專利公告號I289770係說明一種文章關鍵字登錄系統，包括具有一符號庫、一虛字詞庫與一關鍵字資料庫之資料儲存裝置與一處理器。處理器將一文章與符號庫進行比對，進而將文章中與符號庫中所紀錄相同之符號刪除，並將文章中與虛字詞庫中所紀錄相同之虛字刪除，之後，計算文章中所有字詞出現的次數，從而得到多個候選字詞與其相應之出現次數，最後，依據一設定條件由候選字詞中選擇多個關鍵字，並將選取之關鍵字登錄至關鍵字資料庫。With the advancement of information, the way people get information is becoming more and more convenient. Computers or mobile phones can be accessed through the Internet to the corresponding database. However, users cannot face a large amount of data in a short period of time. By browsing the abstract or content of each article in the database, the inventors have developed the "Article Keyword Login System and Method and its Computer-Readable Recording Media", such as the Republic of China Invention Patent Publication No. I289770. The invention patent publication number I289770 describes an article keyword login system, including a data storage device and a processor having a symbol library, a virtual word database and a keyword database. The processor compares an article with the symbol library, and then deletes the same symbol recorded in the symbol library from the article, and deletes the same virtual word in the article as recorded in the virtual word database, and then calculates all the articles in the article. The number of occurrences of the word, thereby obtaining the number of occurrences of the plurality of candidate words and corresponding occurrences. Finally, selecting a plurality of keywords from the candidate words according to a set condition, and registering the selected keywords into the keyword database.
上述發明係先將每一篇文章的符號、虛字均先刪除，再計算每一篇文章中所有字詞出現的次數，進而整理出文章中出現前幾名的字詞，並將該等字詞登入作為關鍵字，但仍有以下之缺失：The above invention first deletes the symbols and imaginary characters of each article, and then counts the number of occurrences of all the words in each article, and then sorts out the first few words in the article, and puts the words Sign in as a keyword, but still have the following missing:
1、上述發明計算字詞出現次數時，需截取每一篇文章中的每一個字詞，由於文章中的字詞繁多，資料庫統計每一字詞時所耗費的時間及運算資源相對的較高。1. When the above invention counts the number of occurrences of a word, each word in each article needs to be intercepted. Because of the large number of words in the article, the time spent on each word in the database and the relative computing resources are relatively large. high.
2、由於上述發明截取每一篇文章中的每一個字詞，對於文章中的單位詞彙容易一併被納入統計中，例如MHz、公分等。2. Since the above invention intercepts each word in each article, the unit vocabulary in the article is easily included in the statistics, such as MHz, centimeters, and the like.
3、再者上述發明截取每一篇文章中的每一個字詞，所述的字詞非全部為所屬技術領域中常用的關鍵字，統整出的資料並無法貼切的表達出該篇文章的精神內容。3. In addition, the above invention intercepts each word in each article, and the words are not all keywords commonly used in the technical field, and the unified data cannot express the article in an appropriate manner. Spiritual content.
爰此，為進一步有效解決上述發明需截取每一篇文章中的每一個字詞，過程中易因為文章中的字詞繁多或文章中的單位詞彙易被納入統整等缺失，導致關鍵字的錯誤判斷，因此，本發明人致力於研究，提出一種文獻關聯性建構方法，該方法執行下列步驟：建構一文獻資料庫，用以供一主題技術領域儲存至少一文獻資訊，每一篇文獻資訊預先定義至少一關鍵字，該文獻資料庫係根據每一篇文獻資訊的關鍵字彙整一關鍵字群組；當所述文獻資料庫每次接收到所述文獻資訊時，以一處理單元執行一更新程序，該更新程序係將所述文獻資訊與前述文獻資料庫所儲存之關鍵字群組進行比對，搜尋出相異的關鍵字，並更新該文獻資料庫之關鍵字群組；所述處理單元根據更新後之該關鍵字群組對該文獻資料庫的每一篇文獻資訊執行一統計程序，用以計算並輸出一統計資料，該統計資料係包含每一關鍵字在全部/個別文獻資訊的出現次數，以及每一關鍵字對應所述文獻資訊的篇數；輸入至少一搜尋條件，由該處理單元搜尋前述文獻資料庫符合該搜尋條件的文獻資訊，並據以輸出一搜尋結果列表；當點選該搜尋結果列表中任一文獻資訊時執行一關聯性程序，將所點選之文獻資訊的統計資料與前述文獻資料庫每一篇文獻資訊的統計資料進行關聯性分析，並輸出一關聯性群組。Therefore, in order to further effectively solve the above invention, it is necessary to intercept each word in each article, and the process is easy because the words in the article are numerous or the unit vocabulary in the article is easily included in the overall deletion, resulting in the keyword. Incorrect judgment, therefore, the inventors have devoted themselves to research and proposed a document association construction method, which performs the following steps: constructing a document database for storing at least one document information in a subject technical field, each document information Predefining at least one keyword, the document database is based on a keyword of each document information to integrate a keyword group; when the document database receives the document information each time, executing a processing unit An update program that compares the document information with a keyword group stored in the document database, searches for a different keyword, and updates a keyword group of the document database; The processing unit executes a statistical program for each document information of the document database according to the updated keyword group to calculate and output one Data, the statistics includes the number of occurrences of each keyword in all/individual document information, and the number of articles corresponding to the document information for each keyword; input at least one search condition, and the processing unit searches for the aforementioned literature The library meets the literature information of the search condition, and outputs a search result list; when clicking on any document information in the search result list, an associated program is executed, and the statistical information of the selected document information and the aforementioned documents are The statistical data of each document information in the database is correlated and an associated group is output.
本發明另一目的在於提出一種電腦程式，用以於一電腦執行，當該電腦載入該電腦程式並執行後，使該電腦執行前述文獻關聯性建構方法。Another object of the present invention is to provide a computer program for executing on a computer. When the computer is loaded into the computer program and executed, the computer is caused to execute the aforementioned document association construction method.
本發明另一目的在於提出一種電腦可讀取紀錄媒體，儲存一電腦程式，該電腦程式用以安裝在一電腦上，並執行前述文獻關聯性建構方法。Another object of the present invention is to provide a computer readable recording medium for storing a computer program for installing on a computer and executing the aforementioned document association construction method.
前述每一篇文獻資訊預先定義的關鍵字係為一原生關鍵字，而該關鍵字群組中與該原生關鍵字相異的關鍵字則被該篇文獻資訊定義為一延伸關鍵字。Each of the foregoing document information defines a keyword as a native keyword, and a keyword in the keyword group that is different from the native keyword is defined by the document information as an extended keyword.
進一步更包含有一排序程序，該排序程序係根據下列任一條件將該搜尋結果列表中所點選的任一文獻資訊進行排序：每一關鍵字在全部/個別文獻資訊的出現次數，或每一關鍵字對應的所述文獻資訊與篇數。Further comprising a sorting program, the sorting program sorts any document information selected in the search result list according to any of the following conditions: the number of occurrences of each keyword in all/individual document information, or each The document information and the number of articles corresponding to the keyword.
所述搜尋條件係選自該關鍵字群組中任一關鍵字The search condition is selected from any keyword in the keyword group
其中該關聯性程序係根據所點選之文獻資訊與前述文獻資料庫每一篇文獻資訊的統計資料中每一關鍵字在全部/個別文獻資訊的出現次數前三排序，以及每一關鍵字對應所述文獻資訊的篇數前三排序進行關聯性分析，藉此輸出前述關聯性群組。The related program is ranked according to the selected document information and the statistics of each document information in each of the foregoing document databases, and the number of occurrences of all/individual document information is ranked in the top three, and each keyword corresponds to each keyword. The first three rankings of the document information are subjected to association analysis, thereby outputting the aforementioned relevance group.
本發明另一目的係為一種文獻關聯性資料庫系統，係包含有：一文獻資料庫，用以供一使用端根據一主題技術領域儲存至少一文獻資訊，每一篇文獻資訊預先定義至少一關鍵字，該文獻資料庫係根據每一篇文獻資訊的關鍵字彙整一關鍵字群組；一處理單元，包括有一接收比對模組及一統計模組，該接收比對模組在所述文獻資料庫每次接收到所述文獻資訊時，將所述文獻資訊與前述文獻資料庫所儲存之關鍵字群組進行比對，搜尋出相異的關鍵字，並更新該文獻資料庫之關鍵字群組，而該統計模組根據更新後之該關鍵字群組，計算每一關鍵字在全部/個別文獻資訊的出現次數，以及每一關鍵字對應的所述文獻資訊與篇數；一搜尋模組，供輸入至少一搜尋條件，由該搜尋模組搜尋前述文獻資料庫符合該搜尋條件的文獻資訊，並據以輸出一搜尋結果列表；一關聯性模組，當點選所述搜尋結果列表中任一文獻資訊時將所點選之文獻資訊的關鍵字與前述文獻資料庫每一篇文獻資訊進行關聯性分析，並輸出一關聯性群組。Another object of the present invention is a document-related database system, comprising: a document database for a user to store at least one document information according to a subject technical field, each document information pre-defining at least one Keyword, the document database is a collection of keyword groups according to keywords of each document information; a processing unit includes a receiving comparison module and a statistical module, wherein the receiving comparison module is Each time the document database receives the document information, it compares the document information with a keyword group stored in the document database, searches for a different keyword, and updates the key of the document database. a group of words, and the statistic module calculates the number of occurrences of all/individual document information for each keyword according to the updated keyword group, and the document information and the number of articles corresponding to each keyword; Searching a module for inputting at least one search condition, wherein the search module searches for the literature information of the document database that meets the search condition, and outputs a search result list according to the search result; The association module, when clicking on any of the document information in the search result list, correlates the keywords of the selected document information with each document information of the aforementioned document database, and outputs an association group group.
進一步更包含有一排序模組，該排序模組係根據下列任一條件將該搜尋結果列表中所點選的任一文獻資訊進行排序：每一關鍵字在全部/個別文獻資訊的出現次數，或每一關鍵字對應的所述文獻資訊與篇數。Further comprising a sorting module, the sorting module sorts any document information selected in the search result list according to any of the following conditions: the number of occurrences of each keyword in all/individual document information, or The document information and the number of articles corresponding to each keyword.
每一篇文獻資訊預先定義的關鍵字係為一原生關鍵字，而該關鍵字群組中與該原生關鍵字相異的關鍵字則被該篇文獻資訊定義為一延伸關鍵字。The pre-defined keyword of each document information is a native keyword, and the keyword in the keyword group that is different from the native keyword is defined by the document information as an extended keyword.
前述文獻資料庫係為一雲端資料庫。The aforementioned document database is a cloud database.
本發明之文獻關聯性建構方法、資料庫系統、電腦程式或電腦可讀取紀錄媒體的功效均包含以下：The document relevance construction method, database system, computer program or computer readable recording medium of the present invention all include the following:
1、本發明僅根據關鍵字群組去統計每一篇文獻資訊中每一關鍵字在全部/個別文獻資訊的出現次數，以及每一關鍵字對應所述文獻資訊的篇數，藉此避免統計到文獻資訊中過多不必要的資料，造成時間及運算資源過度的浪費。1. The present invention only counts the number of occurrences of all/individual document information of each keyword in each document information according to the keyword group, and the number of articles corresponding to the document information of each keyword, thereby avoiding statistics Too much unnecessary information in the literature information causes excessive waste of time and computing resources.
2、本發明僅以預先定義的關鍵字作為基礎之統計目標值，避免將單位詞彙一併被納入統計中，單位詞彙例如MHz、公分等。2. The present invention only uses the pre-defined keywords as the basis of the statistical target value, and avoids unit vocabulary being included in the statistics, such as MHz, centimeters, and the like.
3、本發明藉由關鍵字的出現次數或頻率排序能快速準確的搜尋出所需領域的文獻資訊。3. The present invention can quickly and accurately search the literature information of the required field by the number of occurrences or frequency of the keywords.
4、本發明將每一篇文章資料分類至不同的主題技術領域，方便初次或不熟悉該領域的使用者能快速且準確搜尋到相關之文獻資訊。4. The present invention classifies each article material into different subject technical fields, so that users who are first or unfamiliar with the field can quickly and accurately search relevant document information.
5、本發明有別於傳統的關鍵字次數統計，更導入關鍵字出現的頻率，當任一關鍵字在每一篇文獻資訊中出現的頻率越高，所代表著與該主題技術領域的相關性越近，透過此數據的統計可提供初次或不熟悉該領域的使用者作為優先考慮之搜尋條件。5. The present invention is different from the traditional keyword count statistics, and more frequently introduces the frequency of occurrence of keywords. When the frequency of any keyword appears in each document information, the higher the frequency, which is related to the technical field of the subject. The closer the sex is, the statistics of this data can provide first-time or unfamiliar users in the field as a priority search condition.
本發明提供有別於傳統資料庫關鍵字的統整方式，不僅為單一性的統計文章的字詞數量，更同步的更新關鍵字的資訊，再者本發明操作容易，極適合個人或教學之應用。為了更了解本發明之技術精神，請參閱第一圖所示，圖中係表示一種文獻關聯性建構方法步驟流程圖，該方法係包含：The invention provides a unified manner different from the traditional database keyword, not only for the number of words of a single statistical article, but also for updating the information of the keyword more synchronously, and the invention is easy to operate, and is very suitable for personal or teaching. application. In order to better understand the technical spirit of the present invention, please refer to the first figure, which is a flow chart showing the steps of a document association construction method, which includes:
首先，建構一文獻資料庫，用以供一主題技術領域儲存至少一文獻資訊，每一篇文獻資訊預先定義至少一關鍵字，該文獻資料庫係根據每一篇文獻資訊的關鍵字彙整一關鍵字群組。然而，每一篇文獻資訊預先定義的關鍵字係為一原生關鍵字，而該關鍵字群組中與該原生關鍵字相異的關鍵字則被該篇文獻資訊定義為一延伸關鍵字。Firstly, a document database is constructed for storing at least one document information in a subject technical field, and each document information pre-defines at least one keyword, and the document database is based on keywords of each document information. Word group. However, each of the document information pre-defined keywords is a native keyword, and the keyword in the keyword group that is different from the native keyword is defined by the document information as an extended keyword.
當所述文獻資料庫每次接收到所述文獻資訊時，以一處理單元執行一更新程序，該更新程序係將所述文獻資訊與前述文獻資料庫所儲存之關鍵字群組進行比對，搜尋出相異的關鍵字，並更新該文獻資料庫之關鍵字群組。Each time the document database receives the document information, an update program is executed by a processing unit, and the update program compares the document information with a keyword group stored in the document database. Search for different keywords and update the keyword group for that document database.
所述處理單元根據更新後之該關鍵字群組對該文獻資料庫的每一篇文獻資訊執行一統計程序，用以計算並輸出一統計資料，該統計資料係包含每一關鍵字在全部/個別文獻資訊的出現次數，以及每一關鍵字對應所述文獻資訊的篇數。The processing unit performs a statistical process on each of the document information of the document database according to the updated keyword group to calculate and output a statistical data, where the statistical data includes each keyword in all/ The number of occurrences of individual document information, and the number of articles corresponding to the literature information for each keyword.
輸入至少一搜尋條件，由該處理單元搜尋前述文獻資料庫符合該搜尋條件的文獻資訊，並據以輸出一搜尋結果列表。Entering at least one search condition, the processing unit searches for the document information of the foregoing document database that meets the search condition, and outputs a search result list accordingly.
當點選該搜尋結果列表中任一文獻資訊時執行一關聯性程序，將所點選之文獻資訊的統計資料與前述文獻資料庫每一篇文獻資訊的統計資料進行關聯性分析，並輸出一關聯性群組。Performing an associative procedure when clicking on any of the document information in the search result list, correlating the statistical data of the selected document information with the statistical data of each document information in the aforementioned literature database, and outputting one Associated group.
每一篇文獻資訊預先定義的關鍵字係為一原生關鍵字，而該關鍵字群組中與該原生關鍵字相異的關鍵字則被該篇文獻資訊定義為一延伸關鍵字。The pre-defined keyword of each document information is a native keyword, and the keyword in the keyword group that is different from the native keyword is defined by the document information as an extended keyword.
進一步更包含有一排序程序，該排序程序係根據下列任一條件將該搜尋結果列表中所點選的任一文獻資訊進行排序：每一關鍵字在全部/個別文獻資訊的出現次數，或每一關鍵字對應的所述文獻資訊與篇數。Further comprising a sorting program, the sorting program sorts any document information selected in the search result list according to any of the following conditions: the number of occurrences of each keyword in all/individual document information, or each The document information and the number of articles corresponding to the keyword.
所述搜尋條件係選自該關鍵字群組中任一關鍵字。The search condition is selected from any keyword in the keyword group.
其中該關聯性程序係根據所點選之文獻資訊與前述文獻資料庫每一篇文獻資訊的統計資料中每一關鍵字在全部/個別文獻資訊的出現次數前三排序，以及每一關鍵字對應所述文獻資訊的篇數前三排序進行關聯性分析，藉此輸出前述關聯性群組。The related program is ranked according to the selected document information and the statistics of each document information in each of the foregoing document databases, and the number of occurrences of all/individual document information is ranked in the top three, and each keyword corresponds to each keyword. The first three rankings of the document information are subjected to association analysis, thereby outputting the aforementioned relevance group.
請再參閱第二圖所示，因此本實施例請再參閱第二圖所示，圖中係說明一種資料庫系統的架構圖，用以執行前述的方法。以下將以較佳之實施例及觀點加以詳述，而此類的敘述係用以解釋本發明的結構及程序，並非用以限制本發明之申請專利範圍；此外，以下任一實施例中說明中的「前」、「後」、「左」、「右」等方向指示，都是對應於使用者在使用狀態下的方向認知。Please refer to the second figure again. Therefore, please refer to the second figure in this embodiment. The figure shows an architecture diagram of a database system for performing the foregoing method. The following is a detailed description of the preferred embodiments and the aspects of the present invention, and the description of the present invention is not intended to limit the scope of the present invention; Direction indications such as "before", "after", "left", and "right" are all corresponding to the direction of the user in the state of use.
本發明上述方法可以透過程式碼方式存在。當程式碼被機器載入且執行時，機器變成用以實行本發明之資料庫系統、電腦程式、電腦可讀取紀錄媒體。The above method of the present invention can exist in a coded manner. When the code is loaded and executed by the machine, the machine becomes a database system, a computer program, and a computer readable recording medium for carrying out the present invention.
為了更進一步的說明本發明，下文特舉實例，並配合圖示說明，詳細的說明如下：In order to further illustrate the present invention, the following specific examples, together with the illustration, are described in detail below:
請先參閱第二圖所示，第二圖係為本發明之資料庫系統，係包含有一文獻資料庫（1a），用以供一使用端（2a）根據一主題技術領域（3a）儲存至少一文獻資訊（11a），每一篇文獻資訊（11a）預先定義至少一關鍵字，該文獻資料庫（1a）係根據每一篇文獻資訊（11a）的關鍵字彙整一關鍵字群組（4a）。特別說明，每一篇文獻資訊（11a）預先定義的關鍵字係為一原生關鍵字（41a），而該關鍵字群組（4a）中與該原生關鍵字（41a）相異的關鍵字則被該篇文獻資訊（11a）定義為一延伸關鍵字（42a）。較佳的是，前述文獻資料庫（1a）係為一雲端資料庫。Please refer to the second figure. The second figure is the database system of the present invention, which includes a document database (1a) for a user terminal (2a) to store at least according to a subject technical field (3a). A document information (11a), each document information (11a) pre-defining at least one keyword, the document database (1a) is based on the keyword information of each document information (11a) to integrate a keyword group (4a) ). Specifically, each of the document information (11a) pre-defined keywords is a native keyword (41a), and the keyword in the keyword group (4a) that is different from the native keyword (41a) is It is defined by the document information (11a) as an extended keyword (42a). Preferably, the aforementioned document database (1a) is a cloud database.
一處理單元（5a），包括有一接收比對模組（51a）及一統計模組（52a），該接收比對模組（51a）在所述文獻資料庫（1a）每次接收到所述文獻資訊（11a）時，將所述文獻資訊（11a）與前述文獻資料庫（1a）所儲存之關鍵字群組（4a）進行比對，搜尋出相異的關鍵字，並更新該文獻資料庫（1a）之關鍵字群組（4a），而該統計模組（52a）根據更新後之該關鍵字群組（4a），計算每一關鍵字在全部/個別文獻資訊（11a）的出現次數，以及每一關鍵字對應的所述文獻資訊（11a）與篇數。a processing unit (5a) includes a receiving comparison module (51a) and a statistical module (52a), the receiving comparison module (51a) receiving the said message library (1a) each time In the literature information (11a), the document information (11a) is compared with the keyword group (4a) stored in the document database (1a), the different keywords are searched, and the document is updated. The keyword group (4a) of the library (1a), and the statistical module (52a) calculates the occurrence of each keyword in all/individual document information (11a) according to the updated keyword group (4a). The number of times, and the document information (11a) and the number of articles corresponding to each keyword.
一搜尋模組（6a），供輸入至少一搜尋條件，由該搜尋模組（6a）搜尋前述文獻資料庫（1a）符合該搜尋條件的文獻資訊（11a），並據以輸出一搜尋結果列表（61a）。a search module (6a) for inputting at least one search condition, wherein the search module (6a) searches the document database (1a) for the document information (11a) that meets the search condition, and outputs a search result list accordingly. (61a).
一關聯性模組（7a），當點選所述搜尋結果列表（61a）列表中任一文獻資訊（11a）時將所點選之文獻資訊（11a）的關鍵字與前述文獻資料庫（1a）每一篇文獻資訊（11a）進行關聯性分析，並輸出一關聯性群組（71a）。An association module (7a), when clicking on any of the document information (11a) in the search result list (61a) list, the keyword of the selected document information (11a) and the aforementioned document database (1a) Each article information (11a) performs correlation analysis and outputs an association group (71a).
較具體的說明，更包含有一排序模組（8a），該排序模組（8a）係根據下列任一條件將該搜尋結果列表中所點選的任一文獻資訊（11a）進行排序：每一關鍵字在全部/個別文獻資訊（11a）的出現次數，或每一關鍵字對應的所述文獻資訊（11a）與篇數。For more specific description, a sorting module (8a) is further included, and the sorting module (8a) sorts any document information (11a) selected in the search result list according to any of the following conditions: The number of occurrences of the keyword in all/individual document information (11a), or the document information (11a) and the number of articles corresponding to each keyword.
為了再更進一步的詳述本發明的精神，當本發明之文獻關聯性建構方法被透過程式碼撰寫存在後，程式碼被資料庫系統、電腦程式、電腦可讀取紀錄媒體執行時，請參閱第三圖，藉此說明程式碼被執行時介面示意圖，圖中表示該文獻資料庫系統的主頁（1b），當使用者進入主頁（1b）時，可由此介面中選擇所欲進入的一主題技術領域（11b）、一關鍵字關聯查詢（12b）以及一主題論文上傳（13b），使用者先點選進入該主題技術領域（11b）中的自閉症In order to further detail the spirit of the present invention, when the document relevance construction method of the present invention is written by code, when the code is executed by the database system, the computer program, or the computer readable recording medium, please refer to The third figure is used to illustrate the interface diagram when the code is executed. The figure shows the home page (1b) of the document database system. When the user enters the home page (1b), a topic to be entered can be selected from the interface. Technical field (11b), a keyword-related query (12b), and a topic paper upload (13b), the user first selects autism into the subject technical field (11b)
接續第三圖的動作以第四圖說明之，第四圖中係點選自閉症後，介面顯示有關鍵字關聯查詢及主題論文上傳及回上頁等選項供使用者操作。The action following the third figure is illustrated in the fourth figure. In the fourth figure, the point is selected from the case of autism, and the interface displays options such as keyword-related query and topic paper uploading and returning to the previous page for the user to operate.
請參閱第五圖所示，第五圖係接續第四圖為使用者點選了關鍵字關聯查詢，進入後可看到此主題技術領域（11b）總共包含有多少文獻資訊，以及再一關鍵字區塊（2b）裡含有複數個關鍵字選項（21b），由圖中可清楚的說明目前在自閉症供整理出111個關鍵字選項（21b），此處更讓使用者自由地選擇任三個關鍵字選項（21b）來進行檢索。更特別說明在介面的右邊更設有一統計介面（3b），該統計介面（3b）係包含有一關鍵字排序、一關鍵字出現總次數、一關鍵字出現頻率，讓使用者參考比對的用途。Please refer to the fifth figure. The fifth picture is the fourth picture. The user clicks on the keyword association query. After entering, you can see how much literature information is included in this topic technology area (11b), and another key. The word block (2b) contains a plurality of keyword options (21b), which clearly shows that 111 keyword options (21b) are currently arranged in autism, and the user is free to choose here. Use any of the three keyword options (21b) to retrieve. More specifically, there is a statistical interface (3b) on the right side of the interface. The statistical interface (3b) includes a keyword sorting, a total number of occurrences of a keyword, and a frequency of occurrence of a keyword, so that the user can refer to the purpose of the comparison. .
請再參閱第六圖所示，係說明接續使用者第五圖中點選了「母親」的關鍵字進行檢索，圖中列出了有包含「母親」關鍵字的所有文獻資訊（4b），且再列表中每一篇文獻資訊（4b）顯示有一標題（41b）、該關鍵字出現次數（42b）以及一關鍵字型態（43b），其中的該關鍵字型態（43b）係包含有一原生關鍵字資訊（431b）及一延伸關鍵字資訊（432b）。以第六圖中說明，對該標題（41b）為「自閉症孩童母親的職能經驗與主觀安適感之探討」的文章而言，「母親」為作者本身所定義的關鍵字，因此在該關鍵字型態（43b）則顯示該原生關鍵字資訊（431b），且出現的次數為167次；再如該標題（41b）為「父母教養自閉症幼兒之心理適應研究」的文章而言，「母親」並非作者本身所定義的關鍵字，而為其他文章所定義的關鍵字，因此在該關鍵字型態（43b）則顯示該延伸關鍵字資訊（432b），且出現的次數為126次。Please refer to the sixth figure, which is a description of the keywords selected by the "Mother" in the fifth picture of the user. The figure lists all the document information (4b) containing the "Mother" keyword. And each document information (4b) in the re-list has a title (41b), the number of occurrences of the keyword (42b), and a keyword type (43b), wherein the keyword type (43b) includes one Native keyword information (431b) and an extended keyword information (432b). As explained in the sixth figure, for the article titled "41b" as "a discussion of the functional experience and subjective sense of autistic children's mothers", "mother" is a keyword defined by the author itself, so The keyword type (43b) displays the native keyword information (431b) and the number of occurrences is 167 times; if the title (41b) is "the psychological adaptation study of parents raising autistic children" "Mother" is not a keyword defined by the author itself, but a keyword defined for other articles, so the extended keyword information (432b) is displayed in the keyword type (43b), and the number of occurrences is 126. Times.
請再參閱第七圖所示，係說明接續使用者第五圖中點選了「自閉症兒童」及「社交技巧」的關鍵字進行檢索，圖中列出了有包含「自閉症兒童」及「社交技巧」關鍵字的所有文獻資訊（4b）。Please refer to the seventh figure. The following is a list of keywords in the fifth picture of the user who have selected "Autistic Children" and "Social Skills". The figure lists the children with autism. And all the literature information (4b) of the "social skills" keyword.
請再參閱第八圖所示，係說明接續使用者第五圖中點選了「情緒」、「母親」及「問題行為」的關鍵字進行檢索，圖中列出了有包含「情緒」、「母親」及「問題行為」關鍵字的所有文獻資訊（4b）。Please refer to the figure in the eighth figure. It is a keyword that selects "emotion", "mother" and "problem behavior" in the fifth picture of the user. The figure lists the "emotion". All literature information on the "Mother" and "Problem Behavior" keywords (4b).
請再參閱第九圖所示，係說明接續使用者第五圖中點選了「自閉症孩童母親不確定感之探討」，進入後圖中係包含有一文獻預覽區（5b）、一文獻統計區（51b）及一關聯區塊（52b），該文章預覽區（5b）係為「自閉症孩童母親不確定感之探討」的文章資訊，而在該文獻統計區（51b）中顯示有「自閉症孩童母親不確定感之探討」中的該原生關鍵字資訊（431b）及延伸關鍵字資訊（432b）的排序，如圖中說明前三排序分別為「母親」、「自閉症」及「不確定感」，特別以「母親」關鍵字做詳述，在「自閉症孩童母親不確定感之探討」文章中「母親」為原生關鍵字資訊（431b），且出現次數為155次，在文獻資料庫（圖中無標示）中總出現次數為726次，而在文獻資料庫（圖中無標示）中出現的頻率為22篇。另外，在該關聯區塊（52b）則顯示了在文章資料庫（圖中無標示）以前三名排序關鍵字做為條件同為前三名的相關聯文章，如圖所示，同時具有「母親」、「自閉症」及「不確定感」且為前三名排序的相關聯文章共有1篇，而同時「母親」及「自閉症」且為前三名排序的相關聯文章共有21篇，依此類推。此處更特別該關聯區塊（52b）除了以次數、更能以總次數及關鍵字出現頻率（圖中無標示）。Please refer to the ninth figure, which shows the "Explanation of the Autistic Children's Mother's Uncertainty" in the fifth picture of the user. In the following picture, there is a document preview area (5b), a document. The statistical area (51b) and an associated block (52b), the article preview area (5b) is the article information of "the discussion of the uncertainty of the mother of autistic children", and is displayed in the statistical area (51b) of the document. The ranking of the native keyword information (431b) and the extended keyword information (432b) in the "Discussion on the Autistic Children's Uncertainty", as shown in the figure, the first three rankings are "Mother" and "Autism". "Disease" and "Uncertainty", in particular, the "Mother" keyword is detailed. In the article "Discussion on the Autistic Child Mother's Uncertainty", "Mother" is the native keyword information (431b), and the number of occurrences For 155 times, the total number of occurrences in the literature database (not shown) was 726, while the frequency of occurrence in the literature database (not shown) was 22. In addition, in the associated block (52b), the previous three sorted keywords in the article database (not marked in the figure) are displayed as the related articles with the same conditions as the top three, as shown in the figure, and have the same There are 1 related articles in the top three, "Mother", "Autism" and "Uncertainty", and the related articles of "Mother" and "Autism" and ranked in the top three are shared. 21, and so on. More specifically here, the associated block (52b) is in addition to the number of times, the total number of times, and the frequency of occurrence of the keyword (not shown in the figure).
請再參閱第十圖及第十一圖，係說明使用者點選論文上傳後的介面，此處供該使用者上傳文章，上傳後可自由選擇匯入或刪除，並有一列表（6b）顯示日期、大小及標題。第十一圖係為上傳後之介面，包含有一上傳文獻預覽區（7b）及一內容擷取資料區（8b），提供給使用者參考。Please refer to the tenth and eleventh figures, which explains the user's interface after uploading the paper. Here, the user can upload the article. After uploading, you can freely choose to import or delete, and have a list (6b) display. Date, size and title. The eleventh figure is the interface after uploading, and includes an uploading document preview area (7b) and a content capturing data area (8b), which are provided for reference by the user.
綜合上述實施例之說明，當可充分瞭解本發明之操作、使用及本發明產生之功效，惟以上所述實施例僅係為本發明之較佳實施例，當不能以此限定本發明實施之範圍，即依本發明申請專利範圍及發明說明內容所作簡單的等效變化與修飾，皆屬本發明涵蓋之範圍內。In view of the foregoing description of the embodiments, the operation and the use of the present invention and the effects of the present invention are fully understood, but the above described embodiments are merely preferred embodiments of the present invention, and the invention may not be limited thereto. Included within the scope of the present invention are the scope of the present invention.
（１ａ）‧‧‧文獻資料庫(1a) ‧ ‧ document database
（１１ａ）‧‧‧文獻資訊(11a) ‧ ‧ Document Information
（２ａ）‧‧‧使用端(2a)‧‧‧Use side
（３ａ）‧‧‧主題技術領域(3a) ‧ ‧ subject technical areas
（４ａ）‧‧‧關鍵字群組(4a)‧‧‧Keyword Group
（４１ａ）‧‧‧原生關鍵字(41a)‧‧‧ Native Keywords
（４２ａ）‧‧‧延伸關鍵字(42a) ‧‧‧Extended keywords
（５ａ）‧‧‧處理單元(5a) ‧ ‧ processing unit
（５１ａ）‧‧‧接收比對模組(51a)‧‧‧Receive comparison module
（５２ａ）‧‧‧統計模組(52a) ‧‧‧Statistical Module
（６ａ）‧‧‧搜尋模組(6a)‧‧‧Search Module
（６１ａ）‧‧‧搜尋結果列表(61a)‧‧‧Search results list
（７ａ）‧‧‧關聯性模組(7a)‧‧‧ Relevance modules
（７１ａ）‧‧‧關聯性群組(71a)‧‧‧ Relevance groups
（８ａ）‧‧‧排序模組(8a)‧‧‧Sorting modules
（１ｂ）‧‧‧主頁(1b) ‧‧‧ Homepage
（１１ｂ）‧‧‧主題技術領域(11b)‧‧‧Thematic technical fields
（１２ｂ）‧‧‧關鍵字關聯查詢(12b)‧‧‧Keyword-related queries
（１３ｂ）‧‧‧主題論文上傳(13b) ‧ ‧ subject paper upload
（２ｂ）‧‧‧關鍵字區塊(2b) ‧‧‧Keyword Blocks
（２１ｂ）‧‧‧關鍵字選項(21b)‧‧‧Keyword options
（３ｂ）‧‧‧統計介面(3b)‧‧‧Statistical interface
（４ｂ）‧‧‧文件資料(4b) ‧ ‧ documents
（４１ｂ）‧‧‧標題(41b) ‧ ‧ heading
（４２ｂ）‧‧‧關鍵字出現次數(42b) ‧‧‧Number of keyword occurrences
（４３ｂ）‧‧‧關鍵字型態(43b)‧‧‧Keyword type
（４３１ｂ）‧‧‧原生關鍵字資訊(431b)‧‧‧ Native Keyword Information
（４３２ｂ）‧‧‧延伸關鍵字資訊(432b) ‧‧‧Extended keyword information
（５ｂ）‧‧‧文章預覽區(5b)‧‧‧Article preview area
（５１ｂ）‧‧‧文章統計(51b) ‧ ‧ article statistics
（５２ｂ）‧‧‧關聯區塊(52b) ‧ ‧ associated blocks
（６ｂ）‧‧‧列表(6b) ‧ ‧ list
（７ｂ）‧‧‧上傳文章預覽區(7b) ‧‧‧Upload article preview area
（８ｂ）‧‧‧內容擷取資料區(8b)‧‧‧Content capture data area
[第一圖]係為本發明之文獻關聯性建構方法步驟流程圖。[First figure] is a flow chart of the steps of the document association construction method of the present invention.
[第二圖]係為本發明之資料庫系統架構圖。[Second figure] is the architecture diagram of the database system of the present invention.
[第三圖]係為本發明之文獻關聯性建構方法透過程式碼方式存在，且程式碼被資料庫系統、電腦程式、電腦可讀取紀錄媒體執行介面示意圖，特別說明係進入主頁畫面。[Third Figure] is a schematic diagram of the document association construction method of the present invention, and the program code is read by the database system, the computer program, and the computer to read the recording medium execution interface, and the special description is to enter the homepage screen.
[第四圖]係為本發明之文獻關聯性建構方法透過程式碼方式存在，且程式碼被資料庫系統、電腦程式、電腦可讀取紀錄媒體執行，特別說明點選主題技術領域後之畫面。[Fourth figure] is the method for constructing the relevance of the literature of the present invention through coded mode, and the code is executed by the database system, the computer program, and the computer readable recording medium, and the screen after selecting the subject technical field is specifically illustrated. .
[第五圖]係為本發明之文獻關聯性建構方法透過程式碼方式存在，且程式碼被資料庫系統、電腦程式、電腦可讀取紀錄媒體執行，特別說明係進入關鍵字關聯查詢畫面。[Fifth figure] The method for constructing the relevance of the literature of the present invention exists through a coded method, and the code is executed by the database system, the computer program, and the computer-readable recording medium, and the special description is entered into the keyword association inquiry screen.
[第六圖]係為本發明之文獻關聯性建構方法透過程式碼方式存在，且程式碼被資料庫系統、電腦程式、電腦可讀取紀錄媒體執行，特別說明係係點選「母親」的關鍵字進行檢索。[Sixth figure] The method for constructing the relevance of the literature of the present invention exists through a coded code, and the code is executed by the database system, the computer program, and the computer-readable recording medium, in particular, the system selects the "mother" Search for keywords.
[第七圖]係為本發明之文獻關聯性建構方法透過程式碼方式存在，且程式碼被資料庫系統、電腦程式、電腦可讀取紀錄媒體執行，特別說明係係點選「自閉症兒童」及「社交技巧」的關鍵字進行檢索。[Seventh] is the method for constructing the relevance of the literature of the present invention through coded code, and the code is executed by the database system, the computer program, and the computer readable recording medium, in particular, the system selects "autism" Search for keywords for children and "social skills".
[第八圖]係為本發明之文獻關聯性建構方法透過程式碼方式存在，且程式碼被資料庫系統、電腦程式、電腦可讀取紀錄媒體執行，特別說明係係點選「情緒」、「母親」及「問題行為」的關鍵字進行檢索。[Eighth image] is a method for constructing the relevance of the document according to the present invention, and the code is executed by the database system, the computer program, and the computer readable recording medium, in particular, the system selects "emotion", Search for keywords for "Mother" and "Problem Behavior".
[第九圖]係為本發明之文獻關聯性建構方法透過程式碼方式存在，且程式碼被資料庫系統、電腦程式、電腦可讀取紀錄媒體執行，特別說明係點選了任一文章資料後之畫面。[Ninth figure] is a method for constructing the relevance of the document according to the present invention through coded mode, and the code is executed by the database system, the computer program, and the computer readable recording medium, and the special description is to select any article material. The picture after.
[第十圖]係為本發明之文獻關聯性建構方法透過程式碼方式存在，且程式碼被資料庫系統、電腦程式、電腦可讀取紀錄媒體執行，特別說明係點選論文上傳後的畫面。[Tenth] is the method for constructing the relevance of the literature of the present invention through coded code, and the code is executed by the database system, the computer program, and the computer readable recording medium, especially the picture after the selected paper is uploaded. .
[第十一圖]係為本發明之文獻關聯性建構方法透過程式碼方式存在，且程式碼被資料庫系統、電腦程式、電腦可讀取紀錄媒體執行，特別說明係將論文上傳之畫面。[11th] is the method for constructing the relevance of the literature of the present invention through coded mode, and the code is executed by the database system, the computer program, and the computer readable recording medium, and the special picture is the picture uploaded by the paper.
Claims (11)
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| TW103113451A TW201539212A (en) | 2014-04-11 | 2014-04-11 | Construction method, database system, computer program, and computer readable recoding medium of relevant literature inquiry |
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| TW103113451A TW201539212A (en) | 2014-04-11 | 2014-04-11 | Construction method, database system, computer program, and computer readable recoding medium of relevant literature inquiry |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TWI647580B (en) * | 2017-06-01 | 2019-01-11 | 正修學校財團法人正修科技大學 | Search filtering method that enhances the matching of text search results |
| TWI660317B (en) * | 2017-12-21 | 2019-05-21 | 財團法人工業技術研究院 | Methods for predicting marketing target popularity and non-transitory computer-readable medium |
-
2014
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TWI647580B (en) * | 2017-06-01 | 2019-01-11 | 正修學校財團法人正修科技大學 | Search filtering method that enhances the matching of text search results |
| TWI660317B (en) * | 2017-12-21 | 2019-05-21 | 財團法人工業技術研究院 | Methods for predicting marketing target popularity and non-transitory computer-readable medium |
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