Semantic full-text search with broccoli

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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.

[edit] Abstract

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

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