Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The b consists of a huge number of structured data in the form of tables, which makes automatically integrating information from those tables of interest to ordinary users possible. A key problem of b table integration is the discovery of correspondences beten b table columns. Most of traditional schema matching techniques can't work ll because of the lack of schema information and the small number of instance in the b tables.  presents a method of b table matching which is based on column concept vector. Column Heading Matcher and Instance Matcher are employed to enhance the matching accuracy. A set of experiments are applied to real-world b tables and the results demonstrate that our method has higher precision and accuracy.
['Chao Chen', 'Yue Zhao']
I am writing a research paper on a idea Research on Column Concept Vector Based Web Table Matching
[{"from": "human", "value": "I am writing a research paper on a idea Research on Column Concept Vector Based Web Table Matching"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The b consists of a huge number of structured data in the form of tables, which makes automatically integrating information from those tables of interest to ordinary users possible. A key problem of b table integration is the discovery of correspondences beten b table columns. Most of traditional schema matching techniques can't work ll because of the lack of schema information and the small number of instance in the b tables.  presents a method of b table matching which is based on column concept vector. Column Heading Matcher and Instance Matcher are employed to enhance the matching accuracy. A set of experiments are applied to real-world b tables and the results demonstrate that our method has higher precision and accuracy."}]