Semantic full-text search with broccoli
|Semantic full-text search with broccoli|
|Author(s)||Bast H., Baurle F., Buchhold B., Haussmann E.|
|Published in||SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval|
|Keyword(s)||Unknown (Extra: Applications, Information retrieval, Research, Semantics, World Wide Web, Complex queries, Context-sensitive, Full-text search, Incremental construction, Question answering systems, Triple store, WEB application, Wikipedia, Natural language processing systems)|
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Semantic full-text search with broccoli is a 2014 conference paper written in English by Bast H., Baurle F., Buchhold B., Haussmann E. and published in SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval.
We combine search in triple stores with full-text search into what we call semantic full-text search. We provide a fully functional web application that allows the incremental construction of complex queries on the English Wikipedia combined with the facts from Freebase. The user is guided by context-sensitive suggestions of matching words, instances, classes, and relations after each keystroke. We also provide a powerful API, which may be used for research tasks or as a back end, e.g., for a question answering system. Our web application and public API are available under http://broccoli.cs.uni-freiburg.de.
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