Lore

Lore: A database management system for semistructured data. The Lore project focuses on defining a declarative query language for XML, developing new technology for interactive searches over XML data, and building an efficient XML query processor. Lore has been under development at Stanford University since 1995. Lore was originally developed for a data model we named OEM; OEM is essentially equivalent to XML, but OEM does not support the notion of DTDs. Hence, much of our original work was geared toward the assumption that data is semistructured and need not conform to a particular schema. Recently we have migrated Lore to fully support XML; see From Semistructured Data to XML: Migrating the Lore Data Model and Language. We have a fully-functional prototype DBMS, complete with query language, multiple indexing techniques, a cost-based query optimizer, multi-user support, logging, and recovery. Lore also includes novel technologies such as DataGuides, management of external data, and proximity search. Online Lore demos are available to the public. The Lore executables are also available.


References in zbMATH (referenced in 19 articles )

Showing results 1 to 19 of 19.
Sorted by year (citations)

  1. Ning, Bo; Liu, Chengfei: XML filtering with Xpath expressions containing parent and ancestor axes (2012) ioport
  2. Lee, Scott Uk-Jin; Dobbie, Gillian; Sun, Jing; Groves, Lindsay: Theorem prover approach to semistructured data design (2010)
  3. May, Wolfgang; Behrends, Erik; Fritzen, Oliver: Integrating and querying distributed XML data via XLink (2008) ioport
  4. Ng, Patrick K. L.; Ng, Vincent T. Y.: Rrsi: Indexing XML data for proximity twig queries (2008) ioport
  5. Wang, Guoren; Huo, Huan; Han, Donghong; Hui, Xiaoyun: Query processing and optimization techniques over streamed fragmented XML (2008) ioport
  6. Wang, Guoren; Ning, Bo; Yu, Ge: Holistically stream-based processing Xtwig queries (2008) ioport
  7. Lu, Chang-Tien; Dos Santos Jr, Raimundo F.; Sripada, Lakshmi N.; Kou, Yufeng: Advances in GML for geospatial applications (2007) ioport
  8. Candan, K. Selçuk; Kim, Jong Wook; Liu, Huan; Suvarna, Reshma: Discovering mappings in hierarchical data from multiple sources using the inherent structure (2006) ioport
  9. Candan, K. Selçuk; Kim, Jong Wook; Liu, Huan; Suvarna, Reshma: Discovering mappings in hierarchical data from multiple sources using the inherent structure (2006) ioport
  10. Che, Dunren; Aberer, Karl; Özsu, M. Tamer: Query optimization in XML structured-document databases (2006) ioport
  11. Farkas, Csilla; Brodsky, Alexander; Jajodia, Sushil: Unauthorized inferences in semistructured databases (2006)
  12. Franceschet, Massimo; de Rijke, Maarten: Model checking hybrid logics (with an application to semistructured data) (2006)
  13. Meng, Xiaofeng; Wang, Xiaofeng; Xie, Min; Zhang, Xin; Zhou, Junfeng: OrientX: an integrated, schema based native XML database system (2006)
  14. Wong, Kam-Fai; Yu, Jeffrey Xu; Tang, Nan: Answering XML queries using path-based indexes: a survey (2006) ioport
  15. Che, Dun-Ren: Accomplishing deterministic XML query optimization (2005) ioport
  16. Wang, Guo-Ren; Sun, Bing; Lv, Jian-Hua; Yu, Ge: RPE query processing and optimization techniques for XML databases (2004) ioport
  17. Kanza, Yaron; Nutt, Werner; Sagiv, Yehoshua: Querying incomplete information in semistructured data (2002)
  18. Zhou, Aoying; Qian, Weining; Qian, Hailei; Zhang, Long; Liang, Yuqi; Jin, Wen: Clustering DTDs: An interactive two-level approach. (2002)
  19. Mchugh, Jason; Abiteboul, Serge; Goldman, Roy; Quass, Dallan; Widom, Jennifer: Lore: A database management system for semistructured data. (1997) ioport


Further publications can be found at: http://infolab.stanford.edu/lore/pubs/index.html