Swoogle: a search and metadata engine for the semantic web
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Yago: a core of semantic knowledge
Proceedings of the 16th international conference on World Wide Web
Sindice.com: a document-oriented lookup index for open linked data
International Journal of Metadata, Semantics and Ontologies
MINERVA∞: a scalable efficient peer-to-peer search engine
Proceedings of the ACM/IFIP/USENIX 2005 International Conference on Middleware
Join Optimization of Information Extraction Output: Quality Matters!
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
DBpedia - A crystallization point for the Web of Data
Web Semantics: Science, Services and Agents on the World Wide Web
Hypertableau reasoning for description logics
Journal of Artificial Intelligence Research
A semantic web middleware for virtual data integration on the web
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
Querying distributed RDF data sources with SPARQL
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
Content-based peer-to-peer network overlay for full-text federated search
Large Scale Semantic Access to Content (Text, Image, Video, and Sound)
CrowdDB: answering queries with crowdsourcing
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
SIHJoin: querying remote and local linked data
ESWC'11 Proceedings of the 8th extended semantic web conference on The semantic web: research and applications - Volume Part I
Zero-knowledge query planning for an iterator implementation of link traversal based query execution
ESWC'11 Proceedings of the 8th extended semantic web conference on The semantic web: research and applications - Volume Part I
Probabilistic Databases
FedX: optimization techniques for federated query processing on linked data
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part I
Interactive reasoning in uncertain RDF knowledge bases
Proceedings of the 20th ACM international conference on Information and knowledge management
Searching and browsing Linked Data with SWSE: The Semantic Web Search Engine
Web Semantics: Science, Services and Agents on the World Wide Web
View selection in Semantic Web databases
Proceedings of the VLDB Endowment
PARIS: probabilistic alignment of relations, instances, and schema
Proceedings of the VLDB Endowment
Pushing the boundaries of crowd-enabled databases with query-driven schema expansion
Proceedings of the VLDB Endowment
Just-in-time information extraction using extraction views
SIGMOD '12 Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data
Towards benefit-based RDF source selection for SPARQL queries
SWIM '12 Proceedings of the 4th International Workshop on Semantic Web Information Management
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More and more semantic information has become available as RDF data recently, with the linked open data cloud as a prominent example. However, participating in the Semantic Web is cumbersome. Typically several steps are involved in using semantic knowledge. Information is first acquired, e.g. by information extraction, crowd sourcing or human experts. Then ontologies are published and distributed. Users may apply reasoning and otherwise modify their local ontology instances. However, currently these steps are treated separately and although each involves human effort, nearly no synergy effect is used and it is also mostly a one way process, e.g. user feedback hardly flows back into the main ontology version. Similarly, user cooperation is low. While there are approaches alleviating some of these limitations, e.g. extracting information at query time, personalizing queries, and integration of user feedback, this work combines all the pieces envisioning a social knowledge network that enables collaborative knowledge generation and exchange. Each aforementioned step is seen as a particular implementation of a network node responding to knowledge queries in its own way, e.g. by extracting it, applying reasoning or asking users, and learning from knowledge exchanged with neighbours. Original knowledge as well as user feedback is distributed over the network based on similar trust and provenance mechanisms. The extended query language we call for also allows for personalization.