| Microsoft Office is a commercial application written and distributed by Microsoft forMicrosoft Windows and Mac OS X operating system. Excel is an important part of theMicrosoft Office suite.Excel has an open, self-descriptive.It can be a variety of data processing, statisticalanalysis and decision support operation, widely used in management, statistical finance,financial, and other areas. This performance makes it the adaptive document format for datastorage and dissemination of digital information on the Internet. However, it is oftennecessary to citation analysis or edit Excel document content. Based on the current hot mobileInternet and the popularity of the mobile office and Excel data source in data mining andsearch engine position. This requires parsing the contents of the Excel file format, toeffectively extract the contents of, or ported to mobile devices. And new extraction algorithmbased on the special nature of mobile device design and rendering algorithms.This paper isfocused on the core function of realization the EXCEL text extraction engine. Firstly, thethesis introduces the common data structures and algorithms. I further discuss the EXCEL textextraction methods, including the encryption and decryption algorithm of EXCEL files andthe conversion of character set, and then, point out the future of EXCEL. In the process of thesystem implementation, interpreter technique was mainly adopted.This topic is the focus in this core function. The system consists of two functionalmodules, one extracted from the data in the Excel document content, and the second is torestore the data in an Excel document and image content and presentation. This paper focuseson the Excel data extraction methods, including Excel content stream extraction, character setconversion and data extraction. The use of technology for the interpreter technology. Finally,the paper points out the Excel format in the future development trends, such as vertical search,text mining and semantic networks. |
PDF Full Text Request