Pattern matching algorithms
The Wiki way: quick collaboration on the Web
The Wiki way: quick collaboration on the Web
Machine Learning
Automatically Extracting Ontologically Specified Data from HTML Tables of Unknown Structure
ER '02 Proceedings of the 21st International Conference on Conceptual Modeling
Table extraction using conditional random fields
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Tabular abstraction, editing, and formatting
Tabular abstraction, editing, and formatting
Ontology Generation from Tables
WISE '03 Proceedings of the Fourth International Conference on Web Information Systems Engineering
A survey of table recognition: Models, observations, transformations, and inferences
International Journal on Document Analysis and Recognition
Becoming Wikipedian: transformation of participation in a collaborative online encyclopedia
GROUP '05 Proceedings of the 2005 international ACM SIGGROUP conference on Supporting group work
Proceedings of the 15th international conference on World Wide Web
ACM SIGIR Forum
Web Semantics: Science, Services and Agents on the World Wide Web
OntoWiki – a tool for social, semantic collaboration
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
Information integration via an end-to-end distributed semantic web system
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Capturing knowledge about philosophy
Proceedings of the 4th international conference on Knowledge capture
Autonomously semantifying wikipedia
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Web Semantics: Science, Services and Agents on the World Wide Web
A relational approach to incrementally extracting and querying structure in unstructured data
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Web Semantics: Science, Services and Agents on the World Wide Web
Collective knowledge systems: Where the Social Web meets the Semantic Web
Web Semantics: Science, Services and Agents on the World Wide Web
Semantics on demand: Can a Semantic Wiki replace a knowledge base?
The New Review of Hypermedia and Multimedia
Catriple: Extracting Triples from Wikipedia Categories
ASWC '08 Proceedings of the 3rd Asian Semantic Web Conference on The Semantic Web
Learning Semantic Query Suggestions
ISWC '09 Proceedings of the 8th International Semantic Web Conference
OTM '09 Proceedings of the Confederated International Conferences, CoopIS, DOA, IS, and ODBASE 2009 on On the Move to Meaningful Internet Systems: Part II
Building knowledge base for Vietnamese information retrieval
Proceedings of the 11th International Conference on Information Integration and Web-based Applications & Services
Open information extraction using Wikipedia
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Querying Wikipedia documents and relationships
Procceedings of the 13th International Workshop on the Web and Databases
WikiAnalytics: disambiguation of keyword search results on highly heterogeneous structured data
Procceedings of the 13th International Workshop on the Web and Databases
Entity search: building bridges between two worlds
Proceedings of the 3rd International Semantic Search Workshop
Web Semantics: Science, Services and Agents on the World Wide Web
A self-supervised approach for extraction of attribute-value pairs from wikipedia articles
SPIRE'10 Proceedings of the 17th international conference on String processing and information retrieval
Vietnamese Knowledge Base development and exploitation
International Journal of Business Intelligence and Data Mining
Scaling up question-answering to linked data
EKAW'10 Proceedings of the 17th international conference on Knowledge engineering and management by the masses
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part I
Zhishi.me: weaving chinese linking open data
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part II
Proceedings of the 1st international workshop on Search and mining entity-relationship data
Topic mining based on graph local clustering
MICAI'11 Proceedings of the 10th international conference on Artificial Intelligence: advances in Soft Computing - Volume Part II
Enhancing wikipedia with semantic technologies
iUBICOM'11 Proceedings of the 6th international conference on Ubiquitous and Collaborative Computing
EachWiki: Facilitating Wiki Authoring by Annotation Suggestion
ACM Transactions on Intelligent Systems and Technology (TIST)
Building linked open university data: tsinghua university open data as a showcase
JIST'11 Proceedings of the 2011 joint international conference on The Semantic Web
International Journal of Human-Computer Studies
Towards Controlled Natural Language for Semantic Annotation
International Journal on Semantic Web & Information Systems
Managing information disparity in multilingual document collections
ACM Transactions on Speech and Language Processing (TSLP)
User-driven quality evaluation of DBpedia
Proceedings of the 9th International Conference on Semantic Systems
Using natural language to integrate, evaluate, and optimize extracted knowledge bases
Proceedings of the 2013 workshop on Automated knowledge base construction
Test-driven evaluation of linked data quality
Proceedings of the 23rd international conference on World wide web
WHAD: Wikipedia historical attributes data
Language Resources and Evaluation
Towards better understanding and utilizing relations in DBpedia
Web Intelligence and Agent Systems
Bricking Semantic Wikipedia by relation population and predicate suggestion
Web Intelligence and Agent Systems
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Wikis are established means for the collaborative authoring, versioning and publishing of textual articles. The Wikipedia project, for example, succeeded in creating the by far largest encyclopedia just on the basis of a wiki. Recently, several approaches have been proposed on how to extend wikis to allow the creation of structured and semantically enriched content. However, the means for creating semantically enriched structured content are already available and are, although unconsciously, even used by Wikipedia authors. In this article, we present a method for revealing this structured content by extracting information from template instances. We suggest ways to efficiently query the vast amount of extracted information (e.g. more than 8 million RDF statements for the English Wikipedia version alone), leading to astonishing query answering possibilities (such as for the title question). We analyze the quality of the extracted content, and propose strategies for quality improvements with just minor modifications of the wiki systems being currently used.