A metamodel-based search engine for document management systems

There are so many works that have been performed to achieve semantic search, but few are integrated with enterprise applications such as documents management systems (DMS). While major search engines such as Google, Yahoo and Bing always introduce novel methods to enhance search experience, users of enterprise systems generally have to deal with form-based search infrastructures to access their data and most of these users are not satisfied with this. Especially DMSs, which are highly used by companies and public institutions to store their documents, make accessing to stored documents painful with their existing search infrastructures. Main objective of this work is implementing a metamodel driven semantic search engine and enhancing the searching capabilities of Bizdocs1 which is one of the commercial DMSs used in Turkey. We also aims to provide a high-performance and scalable search infrastructure besides being semantic.