Use of Knowledge-Based Data Extraction Methods for Text Extraction
Combining the available information of academic papers accessible on the Internet is a key task in academic research. The major emphasis information collecting for citation tasks is necessary for the development of content through various secondary sources of data. In this work, we use an understanding method to acquire data, with such a focus on student journal data mining algorithms. We utilize an epistemic information retrieval scheme called INFO-MAP to mechanically obtain the data source. The findings show that together we can properly obtain author, name, publication, volumes, issue, date, and pages information from several citation formats utilizing INFO-MAP. The average total area reliability of reference retrieval for a genomics database is 97.87 % for 6 citation categories.