13. A method, comprising: identifying, in a computing device that includes a processor and a memory, tagged statements in a plurality of Semantic Web structured resources, wherein the tagged statements each include subject/object/predicate triples; parsing the tagged statements from the Semantic Web structured resources to identify component words, wherein, for each Semantic Web structured resource, there are a plurality of tagged statements, and for each tagged statement there are a plurality of component words; constructing a non-hierarchical index from said component words, said index relating said component words to said tagged statements; comparing said component words to a search term to identify matching words; identifying related ones of said tagged statements for said matching words based on said index; obtaining predicates, instances, types of said instances, and literal values of said related ones of said statements, wherein each of the predicates, instances, types of said instances, and literal values is found in at least one of the at least one Semantic Web Structured resources; and summarizing said obtained predicates, instances, types of said instances, and literal values for presentation to a user as summarized search results; receiving user input selecting a summarized subject of interest; and displaying a list of predicates associated with the selected summarized subject of interest.
13. A method, comprising: identifying, in a computing device that includes a processor and a memory, tagged statements in a plurality of Semantic Web structured resources, wherein the tagged statements each include subject/object/predicate triples; parsing the tagged statements from the Semantic Web structured resources to identify component words, wherein, for each Semantic Web structured resource, there are a plurality of tagged statements, and for each tagged statement there are a plurality of component words; constructing a non-hierarchical index from said component words, said index relating said component words to said tagged statements; comparing said component words to a search term to identify matching words; identifying related ones of said tagged statements for said matching words based on said index; obtaining predicates, instances, types of said instances, and literal values of said related ones of said statements, wherein each of the predicates, instances, types of said instances, and literal values is found in at least one of the at least one Semantic Web Structured resources; and summarizing said obtained predicates, instances, types of said instances, and literal values for presentation to a user as summarized search results; receiving user input selecting a summarized subject of interest; and displaying a list of predicates associated with the selected summarized subject of interest. 14. The method of claim 13 , wherein at least one of the Semantic Web structured resources has been converted from non-web data.