Indexing and Searching Semantically Annotated Texts

This thesis solves the problem of search in the semantically enriched texts. The task of this thesis is to propose and implement a system for searching documents which contain fragments defined by user and enrich entities or non-entities by syntactic and semantic information, which is not mentioned implicitly. The thesis focuses on analysis of existing solution and principles of MG4J engine. The problem was resolved by extending already existing system and implementing a new part, which ensure the data collection. As a result two programs were implemented. One of them ensure the retrieval in document collection stored on a server and is a server-side application. The second one is a client-side application which ensures collection of data from the servers. The implemented programs allow to make advanced queries and get information, which is not explicitly mentioned in text, about entities of the real world