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In this paper, we present an ontology-based information extraction and retrieval system and its application to soccer domain. In general, we deal with three issues in semantic search, namely, usability, scalability and retrieval performance. We propose a keyword-based semantic retrieval approach. The performance of the system is improved considerably using domain-specific information extraction, inference and rules. Scalability is achieved by adapting a semantic indexing approach. We implement the system using the state-of-the-art technologies in Semantic Web and evaluate the performance against traditional systems. Further detailed evaluation is provided to observe the performance gain due to domain-specific information extraction and inference.