Pivoted document length normalization
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
The art of computer programming, volume 1 (3rd ed.): fundamental algorithms
The art of computer programming, volume 1 (3rd ed.): fundamental algorithms
DBXplorer: enabling keyword search over relational databases
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
XRANK: ranked keyword search over XML documents
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Keyword Searching and Browsing in Databases using BANKS
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
On the integration of structure indexes and inverted lists
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Structure and content scoring for XML
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Bidirectional expansion for keyword search on graph databases
VLDB '05 Proceedings of the 31st international conference on Very large data bases
An efficient SQL-based RDF querying scheme
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Finding and approximating top-k answers in keyword proximity search
Proceedings of the twenty-fifth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Effective keyword search in relational databases
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
BLINKS: ranked keyword searches on graphs
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Discover: keyword search in relational databases
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
XSEarch: a semantic search engine for XML
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Efficient IR-style keyword search over relational databases
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Scalable semantic web data management using vertical partitioning
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Top-k Exploration of Query Candidates for Efficient Keyword Search on Graph-Shaped (RDF) Data
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
INEX 2002-2006: understanding XML retrieval evaluation
DELOS'07 Proceedings of the 1st international conference on Digital libraries: research and development
A path-oriented RDF index for keyword search query processing
DEXA'11 Proceedings of the 22nd international conference on Database and expert systems applications - Volume Part II
RDFa based annotation of web pages through keyphrases extraction
OTM'11 Proceedings of the 2011th Confederated international conference on On the move to meaningful internet systems - Volume Part II
Approximate matching over biological RDF graphs
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Web navigation via semantic annotations
ER'12 Proceedings of the 2012 international conference on Advances in Conceptual Modeling
A linear and monotonic strategy to keyword search over RDF data
ICWE'13 Proceedings of the 13th international conference on Web Engineering
Enabling keyword search on Linked Data repositories: An ontology-based approach
International Journal of Knowledge-based and Intelligent Engineering Systems - Selected papers of KES2012-Part 1 of 2
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The amount of data available in the Web, in databases as well as other systems, is constantly increasing as increasing is the number of users that wish to access such data. Data is available in forms that may not be of easy access for not expert users. Keyword Search approaches are an effort to abstract from specific data representations, allowing users to retrieve information by providing a few terms of interest. Many solutions build on dedicated indexing techniques as well as search algorithms aiming at finding substructures that connect the data elements matching the keywords. In this paper, we present the development of Yaanii, a tool for effective Keyword Search over semantic datasets. Yaaniiis based on a novel keyword search paradigm for graph-structured data, focusing in particular on the RDF data model. We provide a clustering technique that identifies and groups graph substructures based on template match. A scoring function, IR inspired, evaluates the relevance of the substructures and of the clusters, and supports the generation of Top-k solutions during its execution in the first k steps. Experiments demonstrate the effectiveness of our approach.