The increasing popularity of Community Web Management Systems (CWMSs) calls for tailor-made data management approaches for them. Still, existing CWMSs have mostly focused on simple similaritybased queries; they do not provide a framework for the efficient processing of more complex queries over community web data. In this paper, we propose a two-way indexing scheme that facilitates efficient and scalable retrieval and complex query processing with community data. A thorough experimental comparison, based on real-world data and practical queries, illustrates the advantages of our scheme compared to other approaches for community web data management. Besides, our doubleindexing scheme provides an attractive solution to the storage problem as well.