A Graduated Assignment Algorithm for Graph Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer Evaluation of Indexing and Text Processing
Journal of the ACM (JACM)
Machine Learning
Conceptual Graph Matching for Semantic Search
ICCS '02 Proceedings of the 10th International Conference on Conceptual Structures: Integration and Interfaces
SimRank: a measure of structural-context similarity
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Similarity Flooding: A Versatile Graph Matching Algorithm and Its Application to Schema Matching
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Support vector machines classification with a very large-scale taxonomy
ACM SIGKDD Explorations Newsletter - Natural language processing and text mining
The SMART Retrieval System—Experiments in Automatic Document Processing
The SMART Retrieval System—Experiments in Automatic Document Processing
Discovering missing links in Wikipedia
Proceedings of the 3rd international workshop on Link discovery
Proceedings of the 15th international conference on World Wide Web
ACM SIGIR Forum
Wiki means more: hyperreading in Wikipedia
Proceedings of the seventeenth conference on Hypertext and hypermedia
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Semantically Enhanced Entity Ranking
WISE '08 Proceedings of the 9th international conference on Web Information Systems Engineering
Automatic content-based categorization of Wikipedia articles
People's Web '09 Proceedings of the 2009 Workshop on The People's Web Meets NLP: Collaboratively Constructed Semantic Resources
Q2Semantic: a lightweight keyword interface to semantic search
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
EachWiki: Facilitating Wiki Authoring by Annotation Suggestion
ACM Transactions on Intelligent Systems and Technology (TIST)
Towards better understanding and utilizing relations in DBpedia
Web Intelligence and Agent Systems
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Wikipedia, a killer application in Web 2.0, has embraced the power of collaborative editing to harness collective intelligence. It can also serve as an ideal Semantic Web data source due to its abundance, influence, high quality and well-structuring. However, the heavy burden of up-building and maintaining such an enormous and ever-growing online encyclopedic knowledge base still rests on a very small group of people. Many casual users may still feel difficulties in writing high quality Wikipedia articles. In this paper, we use RDF graphs to model the key elements in Wikipedia authoring, and propose an integrated solution to make Wikipedia authoring easier based on RDF graph matching, expecting making more Wikipedians. Our solution facilitates semantics reuse and provides users with: 1) a link suggestion module that suggests and auto-completes internal links between Wikipedia articles for the user; 2) a category suggestion module that helps the user place her articles in correct categories. A prototype system is implemented and experimental results show significant improvements over existing solutions to link and category suggestion tasks. The proposed enhancements can be applied to attract more contributors and relieve the burden of professional editors, thus enhancing the current Wikipedia to make it an even better Semantic Web data source.