| 書目名稱 | Natural Language Processing for the Semantic Web | | 編輯 | Diana Maynard,Kalina Bontcheva,Isabelle Augenstein | | 視頻video | http://file.papertrans.cn/662/661846/661846.mp4 | | 叢書名稱 | Synthesis Lectures on Data, Semantics, and Knowledge | | 圖書封面 |  | | 描述 | .This book introduces core natural language processing (NLP) technologies to non-experts in an easily accessible way, as a series of building blocks that lead the user to understand key technologies, why they are required, and how to integrate them into Semantic Web applications. Natural language processing and Semantic Web technologies have different, but complementary roles in data management. Combining these two technologies enables structured and unstructured data to merge seamlessly. Semantic Web technologies aim to convert unstructured data to meaningful representations, which benefit enormously from the use of NLP technologies, thereby enabling applications such as connecting text to Linked Open Data, connecting texts to each other, semantic searching, information visualization, and modeling of user behavior in online networks. ..The first half of this book describes the basic NLP processing tools: tokenization, part-of-speech tagging, and morphological analysis, in addition to the main tools required for an information extraction system (named entity recognition and relation extraction) which build on these components. The second half of the book explains how Semantic Web a | | 出版日期 | Book 2017 | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-79474-2 | | isbn_softcover | 978-3-031-79473-5 | | isbn_ebook | 978-3-031-79474-2Series ISSN 2691-2023 Series E-ISSN 2691-2031 | | issn_series | 2691-2023 | | copyright | Springer Nature Switzerland AG 2017 |
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