A Survey of Web Information Extraction Systems
IEEE Transactions on Knowledge and Data Engineering
Structured Data Extraction from the Web Based on Partial Tree Alignment
IEEE Transactions on Knowledge and Data Engineering
Question Answering in Restricted Domains: An Overview
Computational Linguistics
Efficient similarity joins for near duplicate detection
Proceedings of the 17th international conference on World Wide Web
ACM Computing Surveys (CSUR)
Open information extraction from the web
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Unsupervised named-entity extraction from the Web: An experimental study
Artificial Intelligence
FiVaTech: Page-Level Web Data Extraction from Template Pages
IEEE Transactions on Knowledge and Data Engineering
Comparative evaluation of entity resolution approaches with FEVER
Proceedings of the VLDB Endowment
DBpedia: a nucleus for a web of open data
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Class expression learning for ontology engineering
Web Semantics: Science, Services and Agents on the World Wide Web
Morpheus: a deep web question answering system
Proceedings of the 12th International Conference on Information Integration and Web-based Applications & Services
Web-scale information extraction with vertex
ICDE '11 Proceedings of the 2011 IEEE 27th International Conference on Data Engineering
Pythia: compositional meaning construction for ontology-based question answering on the semantic web
NLDB'11 Proceedings of the 16th international conference on Natural language processing and information systems
Automatically generating data linkages using a domain-independent candidate selection approach
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part I
Template-based question answering over RDF data
Proceedings of the 21st international conference on World Wide Web
LIMES: a time-efficient approach for large-scale link discovery on the web of data
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Unsupervised learning of link discovery configuration
ESWC'12 Proceedings of the 9th international conference on The Semantic Web: research and applications
EAGLE: efficient active learning of link specifications using genetic programming
ESWC'12 Proceedings of the 9th international conference on The Semantic Web: research and applications
Universal OWL axiom enrichment for large knowledge bases
EKAW'12 Proceedings of the 18th international conference on Knowledge Engineering and Knowledge Management
Flower voice: virtual assistant using LOD
Proceedings of the seventh international conference on Knowledge capture
Effective web scraping with OXPath
Proceedings of the 22nd international conference on World Wide Web companion
Introduction to linked data and its lifecycle on the web
RW'13 Proceedings of the 9th international conference on Reasoning Web: semantic technologies for intelligent data access
The ontological key: automatically understanding and integrating forms to access the deep Web
The VLDB Journal — The International Journal on Very Large Data Bases
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Despite decades of effort, intelligent object search remains elusive. Neither search engine nor semantic web technologies alone have managed to provide usable systems for simple questions such as "find me a flat with a garden and more than two bedrooms near a supermarket." We introduce deqa, a conceptual framework that achieves this elusive goal through combining state-of-the-art semantic technologies with effective data extraction. To that end, we apply deqa, to the UK real estate domain and show that it can answer a significant percentage of such questions correctly. deqa achieves this by mapping natural language questions to Sparql patterns. These patterns are then evaluated on an RDF database of current real estate offers. The offers are obtained using OXPath, a state-of-the-art data extraction system, on the major agencies in the Oxford area and linked through Limes to background knowledge such as the location of supermarkets.