XSEarch: A Semantic Search Engine for XML
By Sara Cohen, Jonathan Mamou, Y. Kanza, Y. Sagiv. Very Large Data Bases Conference, 2003
658 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications, Signal Processing
View Paper: https://www.semanticscholar.org/paper/b590fcd5ce118bd19ed87e2f82c4f044dff45974
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Yannis Papakonstantinou
- Yu Xu
- Haixun Wang
- Yunyao Li
- Hosagrahar Visvesvaraya Jagadish
- Philip S. Yu
- S. Rudolph
- Jianhua Feng
In Computer Networks and Communications
- Yu Xu
- Yannis Papakonstantinou
- Hosagrahar Visvesvaraya Jagadish
- Yunyao Li
- Philip S. Yu
- Haixun Wang
- Beng Chin Ooi
- Jianyong Wang
In Signal Processing
- Yu Xu
- Haixun Wang
- Yannis Papakonstantinou
- Hosagrahar Visvesvaraya Jagadish
- Guoliang Li
- Beng Chin Ooi
- Jianyong Wang
- Philip S. Yu
Citations in the corpus
- EASE: an effective 3-in-1 keyword search method for unstructured, semi-structured and structured data (2008, background): “XRANK [11] and XSEarch [4] are systems facilitating keyword search for XML documents, and they return connected subtrees as answers for keyword queries.”
- Schema-Free XQuery (2004, methodology): “In fact, this idea has been employed in several previously proposed systems [11] [17] and works well in certain cases.”
- Efficient keyword search for smallest LCAs in XML databases (2005, background): “A recent work XSEarch [8] supports extended keyword search in XML documents and focuses on the semantics and the ranking of the results.”
- Top-k Exploration of Query Candidates for Efficient Keyword Search on Graph-Shaped (RDF) Data (2009, methodology): “Much work has been carried out on keyword search over tree-structured data (e.g. [6], [7], [8], [9], [10], [11], [12], [13]) as well as graph-structured data (e.g. [2], [14], [1]).”
- BLINKS: ranked keyword searches on graphs (2007, background): “Techniques developed for XML [5, 14, 25], which take advantage of the hierarchical property of trees, no longer apply.”