Feature-rich part-of-speech tagging with a cyclic dependency network
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Introduction to the CoNLL-2003 shared task: language-independent named entity recognition
CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4
Incorporating non-local information into information extraction systems by Gibbs sampling
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Computing semantic relatedness using Wikipedia-based explicit semantic analysis
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
DBpedia - A crystallization point for the Web of Data
Web Semantics: Science, Services and Agents on the World Wide Web
Web Semantics: Science, Services and Agents on the World Wide Web
PowerAqua: fishing the semantic web
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
PowerMap: mapping the real semantic web on the fly
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
Talking to the semantic web – query interfaces to ontologies for the casual user
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
A node indexing scheme for web entity retrieval
ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part II
Treo: best-effort natural language queries over linked data
NLDB'11 Proceedings of the 16th international conference on Natural language processing and information systems
Template-based question answering over RDF data
Proceedings of the 21st international conference on World Wide Web
Personalised graph-based selection of web APIs
ISWC'12 Proceedings of the 11th international conference on The Semantic Web - Volume Part I
Cross lingual semantic search by improving semantic similarity and relatedness measures
ISWC'12 Proceedings of the 11th international conference on The Semantic Web - Volume Part II
Linking building data in the cloud: Integrating cross-domain building data using linked data
Advanced Engineering Informatics
Evaluating question answering over linked data
Web Semantics: Science, Services and Agents on the World Wide Web
Proceedings of the 19th international conference on Intelligent User Interfaces
Editorial: An overview of the Applications of Natural Language to Information Systems
Data & Knowledge Engineering
Editorial: Querying linked data graphs using semantic relatedness: A vocabulary independent approach
Data & Knowledge Engineering
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Linked Data brings the promise of incorporating a new dimension to the Web where the availability of Web-scale data can determine a paradigmatic transformation of the Web and its applications. However, together with its opportunities, Linked Data brings inherent challenges in the way users and applications consume the available data. Users consuming Linked Data on the Web, or on corporate intranets, should be able to search and query data spread over potentially a large number of heterogeneous, complex and distributed datasets. Ideally, a query mechanism for Linked Data should abstract users from the representation of data. This work focuses on the investigation of a vocabulary independent natural language query mechanism for Linked Data, using an approach based on the combination of entity search, a Wikipediabased semantic relatedness measure and spreading activation. The combination of these three elements in a query mechanism for Linked Data is a new contribution in the space. Wikipedia-based relatedness measures address existing limitations of existing works which are based on similarity measures/term expansion based on WordNet. Experimental results using the query mechanism to answer 50 natural language queries over DBPedia achieved a mean reciprocal rank of 61.4%, an average precision of 48.7% and average recall of 57.2%, answering 70% of the queries.