China Academy of Fine Database Intelligent Service System Being Established

Ningxia Yellow River Publishing & Media Group, East Chin

a Normal University, Shanghai Art Institute, Jude Auction Co., Ltd. Shanghai strategic cooperation signing ceremony held recently in Yinchuan, the three parties will jointly establish the Chinese Artists Database Intelligent service system.

This cooperation is of great significance to the development of Chinese art.Yellow River Publishing & Media Group, the Art Institute of East china Normal University, Shanghai Jude Auction Co., Ltd. tripartite technical capital, intellectual capital, information capital investment, the use of visual software platform, logical thinking, algorithms, databases and other technologies to build a new art market information monitoring model.

It is understood that the system has changed the traditional data collection mode, all fine arts materials into digital, large-scale, systematic information base; change the traditional fine arts studies form a comprehensive, diversified mode of analysis, breaking the previous study perceptual visual experience alone, to establish a rational, scientific data analysis standard mode. In addition, it has broken the identification works of art alone intuitive judgment Appreciation mode; establish a comprehensive, scientific analysis system, setting a standard for future art collection, identification and investment.

Xue Xueyan: Creating Content and Processing "Production Line"

2012-08-01 Author: Xue Xueyan

For scientific education digital publishing, we need to create content processing line educational purposes, that is, content processing need to complete the acquisition from the text to the dimension of the text application process need to mark.

The core of digital publishing is database. This is more meaningful to educational digital publishing. The use of large-scale databases, digital publishing can complete the "student-centered" teaching goals, but also meet the series needs editing.

Database construction involves multi-dimensional label.The well-known knowledge point, the answer, does question feedback, and so on. In addition, the label may also have a theme, key words, part of speech endowed, syntax the endowed, content classification. So, in order to conduct a more scientific education digital publishing, it is necessary for educational purposes, to establish processing lines. That is the content processing needs to complete the acquisition from the text to the dimension of the need to mark the text application process.

Among all aspects of the production line, some marks must be performed manually, such as the meaning of a word; others can be done automatically by the computer.

Text collection. The text collection has a variety of ways and means. Have been published in books and electronic documents, it need to be scanned to identify processing, electronic submission directly to create the file, ready for further processing. If you do not consider copyright issues, network spiders to crawl the content as well content material to prepare for all aspects of digital publishing, such as the compilation of teaching materials, and dictionary compilation learning system.

Part of speech endowed.Part of speech endowed is the raw text language Add a simple process.Currently, this process is done automatically endowed tool. The text did not label the parts of speech codes are often referred to as "raw text. The computer, in terms of the type of text, though not entirely without its significance, but endowed text is clearly more uses. The people can endowed text exact query to the law governing the use of the observation of a word for synonym distinguishes.

Genre label. According to the taxonomy vocabulary as well as pre-established mathematical model, roughly text genres such as classification, such as geographic genre chemical genres, computer genre, the sports genre, acquisition genre and so on. Genre classification is the basis for push learners interested in genre content in the future.

Difficulty labeling. Different types of text, its difficulty marking methods are not the same.Read the chapter in terms of someone trying to use the relationship between readability and reading ability and difficulty mark, this approach is particularly suitable for reading chapter of the difficulty of labeling, such as graded readers. The item difficulty annotation is usually done manually.

Matching thesaurus.The corpus linguistic circles usually use MI algorithm to calculate collocations. Database of collocation with the expansion of the storage capacity of the Text Library re-calculated, so that the database can become a dynamic collocation database, and push updates to readers.

Word pattern database.The computer can be summarized according endowed content of a word mode, e.g., a noun follow what is the structure, a structure common vocabulary what etc. The contents have significance meaning to language learning and language teaching material, because patterns and meaning have a close relationship.

Semantic database.Generally, the coexistence of two words (or "co-occurrence") is a semantic-based, for example, the verb eat subsequent word must and food related vocabulary. This provides data assurance polymerization learning methods; and we can train students' guessing ability.

Keywords libraries.The use of mathematical methods to calculate a chapter or paragraph keywords makes sense. This is not only a genre distinction, the stylistic distinction a basis for the query to facilitate.

More than just a brief description of several levels of content processing production line.These dimensions may be increased as needed. Each dimension has an economic growth point, will contribute data push and digital publishing.