Lore: a database management system for semistructured data
ACM SIGMOD Record
Index Structures for Path Expressions
ICDT '99 Proceedings of the 7th International Conference on Database Theory
DataGuides: Enabling Query Formulation and Optimization in Semistructured Databases
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Combining Pat-Trees and Signature Files for Query Evaluation in Document Databases
DEXA '99 Proceedings of the 10th International Conference on Database and Expert Systems Applications
ViST: a dynamic index method for querying XML data by tree structures
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
On the integration of structure indexes and inverted lists
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Ctree: a compact tree for indexing XML data
Proceedings of the 6th annual ACM international workshop on Web information and data management
IEICE - Transactions on Information and Systems
Semplore: A scalable IR approach to search the Web of Data
Web Semantics: Science, Services and Agents on the World Wide Web
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Semantic wikis and other modern knowledge management systems deviate from traditional knowledge bases in that information ranges from unstructured (wiki pages) over semi-formal (tags) to formal (RDF or OWL) and is produced by users with varying levels of expertise. KWQL is a query language for semantic wikis that scales with a user's level of expertise by combining ideas from keyword query languages with aspects of formal query languages such as SPARQL. In this paper, we discuss KWQL's implementation KWilt: It uses, for each data format and query type, technology tailored to that setting and combines, in a patchwork fashion, information retrieval, structure matching and constraint evaluation tools with only lightweight "glue". We show that it is possible to efficiently recognize KWQL queries that can be evaluated using only information retrieval or information retrieval and structure matching. This allows KWilt to evaluate basic queries at almost the speed of the underlying search engine, yet also provides all the power of full first-order queries, where needed. Moreover, adding new data formats or abilities is easier than in a monolithic system.