A survey on deep learning approaches for text-to-SQL
To bridge the gap between users and data, numerous text-to-SQL systems have been
developed that allow users to pose natural language questions over relational databases …
developed that allow users to pose natural language questions over relational databases …
Efficient similarity joins for near-duplicate detection
With the increasing amount of data and the need to integrate data from multiple data
sources, one of the challenging issues is to identify near-duplicate records efficiently. In this …
sources, one of the challenging issues is to identify near-duplicate records efficiently. In this …
Optimal suffix tree construction with large alphabets
M Farach - … 38th Annual Symposium on Foundations of …, 1997 - ieeexplore.ieee.org
The suffix tree of a string is the fundamental data structure of combinatorial pattern matching.
Weiner (1973), who introduced the data structure, gave an O (n)-time algorithm for building …
Weiner (1973), who introduced the data structure, gave an O (n)-time algorithm for building …
Ease: an effective 3-in-1 keyword search method for unstructured, semi-structured and structured data
Conventional keyword search engines are restricted to a given data model and cannot
easily adapt to unstructured, semi-structured or structured data. In this paper, we propose an …
easily adapt to unstructured, semi-structured or structured data. In this paper, we propose an …
Toward computational fact-checking
Our news are saturated with claims of" facts" made from data. Database research has in the
past focused on how to answer queries, but has not devoted much attention to discerning …
past focused on how to answer queries, but has not devoted much attention to discerning …
Top-k set similarity joins
Similarity join is a useful primitive operation underlying many applications, such as near
duplicate Web page detection, data integration, and pattern recognition. Traditional similarity …
duplicate Web page detection, data integration, and pattern recognition. Traditional similarity …
Querying knowledge graphs by example entity tuples
We witness an unprecedented proliferation of knowledge graphs that record millions of
entities and their relationships. While knowledge graphs are structure-flexible and content …
entities and their relationships. While knowledge graphs are structure-flexible and content …
Keyword search on structured and semi-structured data
Empowering users to access databases using simple keywords can relieve the users from
the steep learning curve of mastering a structured query language and understanding …
the steep learning curve of mastering a structured query language and understanding …
Effective keyword search for valuable lcas over xml documents
In this paper, we study the problem of effective keyword search over XML documents. We
begin by introducing the notion of Valuable Lowest Common Ancestor (VLCA) to accurately …
begin by introducing the notion of Valuable Lowest Common Ancestor (VLCA) to accurately …
Keyword search in relational databases
J Park, S Lee - Knowledge and Information Systems, 2011 - Springer
This paper surveys research on enabling keyword search in relational databases. We
present fundamental characteristics and discuss research dimensions, including data …
present fundamental characteristics and discuss research dimensions, including data …