Effective keyword search in relational databases
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Avatar semantic search: a database approach to information retrieval
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Yago: a core of semantic knowledge
Proceedings of the 16th international conference on World Wide Web
Making database systems usable
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Assisted querying using instant-response interfaces
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Expressive query specification through form customization
EDBT '08 Proceedings of the 11th international conference on Extending database technology: Advances in database technology
SQAK: doing more with keywords
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Freebase: a collaboratively created graph database for structuring human knowledge
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
SUITS: Faceted User Interface for Constructing Structured Queries from Keywords
DASFAA '09 Proceedings of the 14th International Conference on Database Systems for Advanced Applications
SPARK: adapting keyword query to semantic search
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Lucene in Action, Second Edition: Covers Apache Lucene 3.0
Lucene in Action, Second Edition: Covers Apache Lucene 3.0
A Probabilistic Scheme for Keyword-Based Incremental Query Construction
IEEE Transactions on Knowledge and Data Engineering
Aligning freebase with the YAGO ontology
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
| Hi-index | 0.00 |
Freebase is a large-scale open-world database where users collaboratively create and structure content over an open platform. Keyword queries over Freebase are notoriously ambiguous due to the size and the complexity of the dataset. To this end, novel techniques are required to enable naive users to express their informational needs and retrieve the desired data. FreeQ offers users an interactive interface for incremental query construction over a large-scale dataset, so that the users can find desired information quickly and accurately.