Four Directions of database technology application

The development of database technology is the same as that in most fields. It will be a combination of application-driven and technology-driven. Traditional relational databases are subject to many restrictions due to their own limitations. In terms of search, multimedia, enterprise content management, and computer-aided design, database technology is rarely involved, if you can improve the database technology in the following four aspects, the database will gain a larger market.

Direction 1. Achieve unstructured data management

Enterprises need to process a large amount of non-confidential data such as reports, bills, images, electronic documents, images, audios, and videos in the process of informatization. These data cannot be managed using traditional relational databases. With the emergence of XML technology, it has become possible for databases to manage unstructured data.

"If anyone can control, support, and store all types of data, such vendors will be able to expand their market space for other products and services. Therefore, integrating XML, object data, and multimedia data on a single platform is a major trend in the development of traditional relational databases ."

However, relational databases that process structured data have experienced more than 30 years of development theoretically and technically, and are already quite mature. The complexity of unstructured data is much higher than that of structured data, therefore, there are still many problems to be solved in the storage of unstructured data. For example, how to store and query multiple heterogeneous data sources is a key issue. Although some people think that the XML database will better solve the problem of unstructured data management in the future, the work of ing existing documents to XML documents has just begun, the XML query language is far less mature than SQL.

Direction 2. Implement Web Data Mining

In recent years, with the rapid popularization and rapid development of Internet technology, various information can be obtained on the network at a very low cost, the amount of data that can be obtained is difficult to calculate, and the development trend of Internet continues to be optimistic, especially the vigorous development of E-commerce provides powerful support for network applications, how to discover useful information in the world's largest data set on the Internet will undoubtedly become a hot topic in Data Mining Research.

Database technology is mainly used in Web mining to solve Web Information Management and query problems. These problems can be divided into three types: Web Information Modeling and query, Information Extraction and integration, and Web site construction and reconstruction.

From the database point of view, Web Content Mining mainly aims to establish and integrate the data model of the web site to support complex queries, rather than simply keyword-based searches. This can be achieved by finding the Web document mode, establishing a web data warehouse, a Web knowledge base, or a virtual database. Relevant research is mainly based on semi-structured data.

For a long time, because of the special Data Representation Methods in the database perspective, including the relational hierarchy and graphical data, therefore, most data mining methods built on a flat data set cannot be directly used. At present, some people have already mined multi-layer databases.Algorithm.

Direction 3. Support for Smart Search Technology

Search technology is now a hot application on the Internet. However, due to the bottleneck of slow speed and poor concurrency, database and search technology have long been "always on the road ". According to Chen Hua, in the current search technology, database tools are rarely used in the search process due to speed and other considerations. However, as the search technology has higher requirements for intelligence, a large amount of matching information and description statements appear in the search process, and how the database technology works with smart searches in the future has gradually become a concern.

There is a large amount of useful data in modern network systems. For example, there are tens of millions of studies every day. However, it is very difficult to obtain the data. It is understood that Google is currently trying to establish an architecture to support new research on massive web data. To support new research, Google saved the actual documents in the form of compression. One of Google's goals is to establish an environment so that other researchers can quickly enter this field to process massive volumes of Web data. In this case, database technology is undoubtedly required to effectively support such systems.

A large Web search engine will be a very complex system. To improve search efficiency, it needs to cover about 0.1 billion webpages. We must have a clever algorithm to determine which old pages need to be crawled again and which new pages need to be crawled. Driven by demand, using proxy cache to create search databases is becoming a promising research field.

Direction 4. Application of auxiliary software engineering and manufacturing systems

Relational Database technology is developed for traditional transaction processing, such as inventory control, wages, and accounts. However, relational database technology is widely used in computer aided design, auxiliary engineering, auxiliary software engineering and auxiliary manufacturing (CAD, CAE, case and CaM) systems and their applications.

The transaction model supported by traditional database systems is not suitable for long-duration, which is required in interactive and collaborative design environments ). Traditional database systems do not provide temporary tools for expressing and managing database changes, including time and version changes in the image mode and notification of changes.

In fact, a large amount of structural information data, including parameters, images, descriptions, tables, and documents, appears in the computer-aided design process and manufacturing process. Effectively construct a database with the corresponding structure information.Technical materialsStore and design a dedicated search for such informationProgramCan greatly optimize the design results.

The application space of the database will be constantly expanded, and the database will develop into a vast space such as web in the future. However, on the other hand, the database technology will develop in a more intelligent and professional direction, and even integrate it with natural language and body language interfaces, making it easier for people to apply databases.