A recurring manual task in data integration, ontology alignment or model management is finding mappings between complex meta data structures. In order to reduce the manual effort, many matching algorithms for semi-automatically computing mappings were introduced. Unfortunately, current matching systems severely lack performance when matching large schemas. Recently, some systems tried to tackle the performance problem within individual matching approaches. However, none of them developed solutions on the level of matching processes. In this paper we introduce a novel rewrite-based optimization technique that is generally applicable to different types of matching processes. We introduce filter-based rewrite rules similar to predicate push-down in query optimization. In addition we introduce a modeling tool and recommendation system for rewriting matching processes. Our evaluation on matching large web service message types shows significant performance improvements without losing the quality of automatically computed results.

The integrated management of standard structured data and time-dependent data is still too complex to be covered by a single system. So, there will be distinct systems such as multimedia DBMS and media servers for e.g., video data, each doing only what it can do best. However, some functions desired by users and applications necessarily involve both systems. A prime candidate for this is the use of hypermedia link anchors in continuous media. The idea behind this approach is to enhance the client software to improve the interplay between structured data in the database (hypermedia structures and metadata) and the video stream. On initiating the playout of the video, the client receives a list of anchors from the MMDBS and organizes them in local structures. It also receives a handle for the video to be played out and uses it to contact the media server. The overall architecture and the role of the different kinds of systems are shown. Query and update processing are distributed over the different kinds of servers.

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