Querying XML Documents Made Easy: Nearest Concept Queries
Proceedings of the 17th International Conference on Data Engineering
XRANK: ranked keyword search over XML documents
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Efficient keyword search for smallest LCAs in XML databases
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Keyword Proximity Search in XML Trees
IEEE Transactions on Knowledge and Data Engineering
Multiway SLCA-based keyword search in XML data
Proceedings of the 16th international conference on World Wide Web
Identifying meaningful return information for XML keyword search
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Effective keyword search for valuable lcas over xml documents
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Reasoning and identifying relevant matches for XML keyword search
Proceedings of the VLDB Endowment
Effective XML Keyword Search with Relevance Oriented Ranking
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
Structured search result differentiation
Proceedings of the VLDB Endowment
Structural consistency: enabling XML keyword search to eliminate spurious results consistently
The VLDB Journal — The International Journal on Very Large Data Bases
Using structural information in XML keyword search effectively
ACM Transactions on Database Systems (TODS)
Nearest keyword search in XML documents
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
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XML data is normally queried by rigorous structured query languages, e.g., XPath, XQuery, etc. In recent years keyword search has become more and more popular because it provides a more user-friendly way to explore data. Keyword search on XML data has also been a hot research issue recently. So far none of the existing XML keyword search methods has considered range queries. In this paper we point out that supporting range queries in XML keyword search is beneficial and non-trivial to the user, especially in the case of querying business semi-structured data, where numerals (like stock price, product quantity, market share percentage, etc.) could be the main part of the data. Actually existing XML keyword search methods do not support range queries at two levels: keyword query syntax level and keyword search method level. To support range queries in XML keyword search: (1) we enrich the current XML keyword query syntax to let the user make range specification; (2) we then extend existing XML keyword search methods by proposing a new index to support both range match and point match. The new index is transparent to existing XML keyword search methods. It can seamlessly work with them and well support range queries in XML keyword search.