Application of Spreading Activation Techniques in InformationRetrieval
Artificial Intelligence Review
WWW '03 Proceedings of the 12th international conference on World Wide Web
XRANK: ranked keyword search over XML documents
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
DBXplorer: A System for Keyword-Based Search over Relational Databases
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
A hybrid approach for searching in the semantic web
Proceedings of the 13th international conference on World Wide Web
KIM – a semantic platform for information extraction and retrieval
Natural Language Engineering
Swoogle: a search and metadata engine for the semantic web
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Effective keyword search in relational databases
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
A Relation-Based Search Engine in Semantic Web
IEEE Transactions on Knowledge and Data Engineering
AquaLog: An ontology-driven question answering system for organizational semantic intranets
Web Semantics: Science, Services and Agents on the World Wide Web
Discover: keyword search in relational databases
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Efficient IR-style keyword search over relational databases
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Toward a New Generation of Semantic Web Applications
IEEE Intelligent Systems
Reasoning and identifying relevant matches for XML keyword search
Proceedings of the VLDB Endowment
Web Semantics: Science, Services and Agents on the World Wide Web
Practical and effective IR-style keyword search over semantic web
Information Processing and Management: an International Journal
From keywords to semantic queries-Incremental query construction on the semantic web
Web Semantics: Science, Services and Agents on the World Wide Web
DBpedia - A crystallization point for the Web of Data
Web Semantics: Science, Services and Agents on the World Wide Web
The OntoNL framework for natural language interface generation and a domain-specific application
DELOS'07 Proceedings of the 1st international conference on Digital libraries: research and development
Sindice.com: weaving the open linked data
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Invited paper: Sig.ma: Live views on the Web of Data
Web Semantics: Science, Services and Agents on the World Wide Web
Fuzzy view-based semantic search
ASWC'06 Proceedings of the First Asian conference on The Semantic Web
DC proposal: automatically transforming keyword queries to SPARQL on large-scale knowledge bases
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part II
Template-based question answering over RDF data
Proceedings of the 21st international conference on World Wide Web
SPARQL2NL: verbalizing sparql queries
Proceedings of the 22nd international conference on World Wide Web companion
Sorry, i don't speak SPARQL: translating SPARQL queries into natural language
Proceedings of the 22nd international conference on World Wide Web
Semantic to intelligent web era: building blocks, applications, and current trends
Proceedings of the Fifth International Conference on Management of Emergent Digital EcoSystems
Summarizing answer graphs induced by keyword queries
Proceedings of the VLDB Endowment
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The search for information on the Web of Data is becoming increasingly difficult due to its dramatic growth. Especially novice users need to acquire both knowledge about the underlying ontology structure and proficiency in formulating formal queries (e. g. SPARQL queries) to retrieve information from Linked Data sources. So as to simplify and automate the querying and retrieval of information from such sources, we present in this paper a novel approach for constructing SPARQL queries based on user-supplied keywords. Our approach utilizes a set of predefined basic graph pattern templates for generating adequate interpretations of user queries. This is achieved by obtaining ranked lists of candidate resource identifiers for the supplied keywords and then injecting these identifiers into suitable positions in the graph pattern templates. The main advantages of our approach are that it is completely agnostic of the underlying knowledge base and ontology schema, that it scales to large knowledge bases and is simple to use. We evaluate17 possible valid graph pattern templates by measuring their precision and recall on 53 queries against DBpedia. Our results show that 8 of these basic graph pattern templates return results with a precision above 70%. Our approach is implemented as a Web search interface and performs sufficiently fast to return instant answers to the user even with large knowledge bases.