The vocabulary problem in human-system communication
Communications of the ACM
SPIDER: a multiuser information retrieval system for semistructured and dynamic data
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
WordNet: a lexical database for English
Communications of the ACM
Communications of the ACM
The object database standard: ODMG 2.0
The object database standard: ODMG 2.0
PODS '97 Proceedings of the sixteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Principles of mixed-initiative user interfaces
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Proceedings of the 15th international conference on World Wide Web
Semantic web: the story so far
W4A '07 Proceedings of the 2007 international cross-disciplinary conference on Web accessibility (W4A)
Creating, destroying, and restoring value in wikipedia
Proceedings of the 2007 international ACM conference on Supporting group work
Autonomously semantifying wikipedia
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Automatically refining the wikipedia infobox ontology
Proceedings of the 17th international conference on World Wide Web
Information extraction from Wikipedia: moving down the long tail
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
YAGO: A Large Ontology from Wikipedia and WordNet
Web Semantics: Science, Services and Agents on the World Wide Web
Probabilistic Entity Linkage for Heterogeneous Information Spaces
CAiSE '08 Proceedings of the 20th international conference on Advanced Information Systems Engineering
Database and information-retrieval methods for knowledge discovery
Communications of the ACM - A Direct Path to Dependable Software
Amplifying community content creation with mixed initiative information extraction
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
SOFIE: a self-organizing framework for information extraction
Proceedings of the 18th international conference on World wide web
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3
The singularity is not near: slowing growth of Wikipedia
Proceedings of the 5th International Symposium on Wikis and Open Collaboration
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
SnoopyDB: narrowing the gap between structured and unstructured information using recommendations
Proceedings of the 21st ACM conference on Hypertext and hypermedia
Recommending structure in collaborative semistructured information systems
Proceedings of the fourth ACM conference on Recommender systems
Scalable knowledge harvesting with high precision and high recall
Proceedings of the fourth ACM international conference on Web search and data mining
VisualWikiCurator: human and machine intelligencefor organizing wiki content
Proceedings of the 16th international conference on Intelligent user interfaces
YAGO2: exploring and querying world knowledge in time, space, context, and many languages
Proceedings of the 20th international conference companion on World wide web
A survey of schema-based matching approaches
Journal on Data Semantics IV
Leveraging terminological structure for object reconciliation
ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part II
Editorial: Special Issue on Advances in Computer Supported Collaboration: Systems and Technologies
Future Generation Computer Systems
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The collaborative curation of semistructured knowledge has become a popular paradigm on the web and also within enterprises. In such knowledge bases a common structure of the stored information is crucial for providing efficient and precise search facilities. However, the task of refining, extending and homogenizing knowledge and its structure is very complex. In this article we present two paradigms for the simplification of this task by providing guidance mechanisms to the user. Both paradigms aim at combining the power of automated extraction algorithms with the semantic awareness of human users to accomplish this refinement task.