Question Answering Biographic Information and Social Network Powered by the Semantic Web

After several years of development, the vision of the Semantic Web is gradually becoming reality. Large data repositories have been created and offer semantic information in a machine-processable form for various domains. Semantic Web data can be published on the Web, gathered automatically, and reasoned about. All these developments open interesting perspectives for building a new class of domain-specific, broad-coverage information systems that overcome a long-standing bottleneck of AI systems, the notoriously incomplete knowledge base. We present a system that shows how the wealth of information in the Semantic Web can be interfaced with humans once again, using natural language for querying and answering rather than technical formalisms. Whereas current Question Answering systems typically select snippets from Web documents retrieved by a search engine, we utilize Semantic Web data, which allows us to provide natural-language answers that are tailored to the current dialog context...

• Type: Conference
• Year: 2010
• Where: LREC
• Authors: Peter Adolphs, Xiwen Cheng, Tina Klüwer, Hans Uszkoreit, Feiyu Xu
• Keywords: Education, LREC 2010, Semantic Web, Semantic Web Data, Semantic Web Framework