A New Automated Approach for Semantic Caching on XML Queries

This research presents a semantic approach for XML queries in ORM. XML has been emerging as a standard structure to communicate data through applications. The object-oriented software uses the ORM to store and retrieve persistent objects from relational database. XML is used as a metadata for mapping an object to a relation in ORM. There are two algorithms, one for Recognition Conflict between two XML schemas and the other for integration of schemas. Using the proposed algorithms, semantic caching determines the antonym schema from the cached schema and the schema derived from the new query. The resulted schema is the remainder query schema submitted to the data server. This approach reduces the response time for queries and improves performance of ORM.