Research And Development Of Data Interconnection And Integration System

With the continuous development of the Internet, there has been a wide varietyof applications on the network, and a large number of data records are generated. Therelational database is widely used to store the various forms of data record currently.The relational database system uses SQL statements to search data stored in thedatabase. But for the general population, they may not understand what the databasemean, they are often concerned about the record level of data abstraction represented,such as someone’s name, age, working place and so on, at the same time they do notcare about the specific storage format of data recorded in the database. In fact, acomplete record may be distributed in the different databases, in other words, datarecord may be stored in different tables. But to the average user, they do not careabout these details.Traditional search technologies only search data records to meet specificconditions and these records are searched without any connection between them andisolated from each other. However, the data record don’t exist in isolation, theyusually has relationship with other records in some applications, and this relationshiphas no directly stored in database, which can be easily got by analyzing theinformation of record. This situation can not be solved by traditional search.To solve the above problem, this paper describes the data record by usingontology, then creates class according to the data record of the application of database,through configuration specified mapping table of relationship between class’sattribute and the corresponding fields in the database, so the abstract data of class cantransform to the fields in the database. Through analyzing the relevant conditions ofthe mapping table we can integrate the records distributed in different databases into acomplete data record. At the same time we can dynamically describe the relationshipbetween data records by using rules and get the related records by analysis the rulescontained in the relationship property, which can not be get by traditional search.This paper’s Innovation and special feature can be summarized into the following two points:First, by configureing the configuration file between record class and databasesto specify the corresponding relationship between class’s attribute and the fields in thedatabase. In this case, the general population can search the related data records byconditions of logical data.Second, by defining and parsing the rule we can get the implicit relationshipbetween data records, and then realize the related search.