HTML table semantic venation analysis method
A technology of semantic analysis and tables, which is applied in the fields of instruments, computing, and electrical digital data processing, etc., can solve problems such as difficulties in automatic methods, complexity of semantic relations in tables, concepts without scope, etc., and achieve simple identification, high query efficiency, The effect of high recall
Inactive Publication Date: 2011-05-04
HUAZHONG UNIV OF SCI & TECH
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Problems solved by technology
One problem is that due to the high complexity of the semantic relationship of the table, it is difficult to design an automatic method that can completely correctly identify the success. For example, the literature [7] only considers the relationship between adjacent cells without the concept of scope, so Human involvement is required
Another issue is how to effectively apply the tabular analysis results to the retrieval of documents
Method used
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Embodiment Construction
[0040] Such as figure 1 As shown, take some commonly used forms on the network and reference documents as the object of explanation, take VC++ as the development language, take the TableToSS system developed by the inventor as the basis, and according to the principle of the semantic context analysis method of the HTML form disclosed by the present invention and the implementation is:
[0041] Step 101: Create a table coordinate system.
[0042] Referring to the relational theory method, the following definition is given:
[0043] Definition 1: Given a set of domains D 1 ,D 2 ,...,D n , their Cartesian product is D 1 ×D 2 ×…×D n ={d 1 , d 2 ,...,d n )|d i ∈D i , i=1, 2,..., n}, each domain D i The domain name and Cartesian product of domain name and Cartesian product are evenly written in some two-dimensional rectangular grids that are neatly arranged in the horizontal and vertical directions, and each grid in each row is equal in height, and each grid in each col...
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The invention discloses a hypertext markup language (HTML) table semantic analysis method, which is applied to the retrieval of a webpage document. A semantic venation relation of an HTML table can be acquired according to geometric position relations among different cells in the HTML table. The cells are described by defining a table coordinate system and a table matrix, and attributes in the table and attribute dereferencing characteristics are determined by defining a column or row assembly unit and taking the column or row assembly unit as an analysis object. An action scope of each attribute is set and the attribute and an attribute dereferencing recognition rule are established by analyzing the geometrical position relations among the cells, so that table cells can be traversed by the table matrix and the relations among all the cells can be established to form a table semantic venation tree and provide supports for the retrieval of the document. The method accords with the tabulation and reading habits of people; the algorithm is simple; and only a table content tree needs recording, but is not required to be developed to form a body node or database data, so that the memory space is greatly saved.
Description
technical field [0001] The invention relates to a semantic analysis method of an HTML table, which can be especially applied in the retrieval of webpage documents, and an association relationship can be established according to the geometric positional relationship between different cells in the HTML table, so as to establish a data content in the table semantic context. Background technique [0002] Tables are a common means for people to express semantic relations in a structured way, which can effectively describe specific instances of one or more classes, so tables are widely used in various documents. With the development of Internet technology and the popularization of applications, tables constructed in forms such as hypertext markup language (HTML) are widely used in web pages. For humans, it is relatively clear to use tables to express semantic relationships, but due to human intelligence, simplicity, and irregularity, many tables contain very complex semantic rela...
Claims
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Inventor 尹文生
Owner HUAZHONG UNIV OF SCI & TECH