Claims (8)
一種製作一知識地圖的方法，該知識地圖包含一詞彙(t)以及複數關聯詞彙，該方法包含下列步驟：建立一詞彙關聯知識集{(t,si
,wi
)|i=1,...,n}，其中si
代表與該詞彙配對的關聯詞彙，wi
代表(t,si
)的權重；提供一使用者介面，以供查詢該詞彙；從該詞彙關聯知識集篩選出複數關聯詞彙共現配對；將該等關聯詞彙共現配對依K-means演算法分成複數群組；輸出該知識地圖，該知識地圖以該詞彙為中心，該等關聯詞彙以該等群組呈現；以及調整該知識地圖的複數參數。A method for making a knowledge map, the knowledge map comprising a vocabulary (t) and a plurality of associated vocabulary, the method comprising the steps of: establishing a vocabulary association knowledge set {(t, si
,wi
)|i=1,...,n}, where si
Represents the associated vocabulary paired with the vocabulary, wi
Representative (t, si
Weighting; providing a user interface for querying the vocabulary; screening the vocabulary association knowledge set to filter out the complex vocabulary co-occurrence pairing; the co-occurrence pairing of the related vocabulary is divided into a plurality of groups according to the K-means algorithm; The knowledge map is output, the knowledge map is centered on the vocabulary, the associated vocabulary is presented in the group; and the plural parameters of the knowledge map are adjusted.
如申請專利範圍第1項的方法，其中wi
的值介於0至1，該等參數包含該知識地圖的一廣度a與一深度b，該廣度a與該深度b的值介於0至1。For example, the method of claim 1 of the patent scope, wherein wi
The value ranges from 0 to 1, and the parameters include a breadth a and a depth b of the knowledge map, and the breadth a and the value of the depth b are between 0 and 1.
如申請專利範圍第2項的方法，其中該廣度a代表該詞彙的一分支度數目，該分支度數目滿足wia，該深度b代表該詞彙t與si
延伸之層級數。The method of claim 2, wherein the breadth a represents a number of branches of the vocabulary, the number of branches satisfies wia, and the depth b represents the vocabulary t and si
The number of levels of extension.
一種製作一知識地圖的方法，該知識地圖包含一詞彙(t)以及複數關聯詞彙，該方法包含下列步驟：建立一詞彙關聯知識集{(t,si
,wi
)|i=1,...,n}，其中si
代表與該詞彙的關聯詞彙，wi
代表該等詞彙共現配對(t,si
)的權重；從該詞彙關聯知識集篩選出複數關聯詞彙共現配對；以及將該等關聯詞彙共現配對依K-means演算法分成複數群組。A method for making a knowledge map, the knowledge map comprising a vocabulary (t) and a plurality of associated vocabulary, the method comprising the steps of: establishing a vocabulary association knowledge set {(t, si
,wi
)|i=1,...,n}, where si
Represents the associated vocabulary with the vocabulary, wi
Representing these words in a co-occurrence pairing (t, si
The weight of the vocabulary association knowledge set is selected from the vocabulary association knowledge set; and the co-occurrence pairing of the related vocabulary is divided into a plurality of groups according to the K-means algorithm.
如申請專利範圍第4項的方法，更包含下列步驟：提供一使用者介面，以供查詢該詞彙；調整該知識地圖的複數參數，其中該等參數包含一廣度a與
一深度b，該廣度a與該深度b的值介於0至1；以及輸出該知識地圖，該知識地圖以該詞彙為中心，該等關聯詞彙以該等群組呈現。
The method of claim 4, further comprising the steps of: providing a user interface for querying the vocabulary; adjusting a plural parameter of the knowledge map, wherein the parameters include a breadth a and
a depth b, the breadth a and the value of the depth b being between 0 and 1; and outputting the knowledge map, the knowledge map being centered on the vocabulary, the associated vocabulary being presented in the groups.
如申請專利範圍第5項的方法，其中wi
的值介於0至1，該等參數包含該知識地圖的一廣度a與一深度b，該廣度a與該深度b的值介於0至1。For example, the method of claim 5, wherein wi
The value ranges from 0 to 1, and the parameters include a breadth a and a depth b of the knowledge map, and the breadth a and the value of the depth b are between 0 and 1.
一種調整一知識地圖的方法，該知識地圖具有一廣度a，該廣度a代表一詞彙的一分支度數目，該方法包含下列步驟：由一詞彙關聯知識集{(t,si
,wi
)|i=1,...,n}輸出該知識地圖，其中t代表該詞彙，si
代表與該詞彙配對的關聯詞彙，wi
代表(t,si
)的權重；從該詞彙關聯知識集篩選出複數關聯詞彙共現配對；將該等關聯詞彙共現配對依K-means演算法分成複數群組；以及在滿足wia的條件下，由一使用者調整該廣度a。A method for adjusting a knowledge map having a breadth a, the breadth a representing a number of branches of a vocabulary, the method comprising the steps of: a vocabulary associated knowledge set {(t, si
,wi
)|i=1,...,n} outputs the knowledge map, where t represents the vocabulary, si
Represents the associated vocabulary paired with the vocabulary, wi
Representative (t, si
The weight of the vocabulary-related knowledge set to filter out the complex-related vocabulary co-occurrence pairing; the co-occurrence pairing of the related vocabulary is divided into a plurality of groups according to the K-means algorithm; and under the condition that the wia is satisfied, by a user Adjust the breadth a.
如申請專利範圍第7項的方法，該知識地圖具有一深度b，更包含下列步驟：其中該深度b代表該詞彙t與si
延伸之層級數。For example, in the method of claim 7, the knowledge map has a depth b, and further includes the following steps: wherein the depth b represents the vocabulary t and si
The number of levels of extension.