Reasoning Web: Logical Foundation of Knowledge Graph Construction and Query Answering: 12th International Summer School 2016, Aberdeen, UK, September ... Lectures (Lecture Notes in Computer Science)
暫譯: 推理網路:知識圖譜建構與查詢回答的邏輯基礎:第十二屆國際暑期學校 2016,阿伯丁,英國,九月... 講座(計算機科學講座筆記)
- 出版商: Springer
- 出版日期: 2017-02-26
- 售價: $2,790
- 貴賓價: 9.5 折 $2,651
- 語言: 英文
- 頁數: 276
- 裝訂: Paperback
- ISBN: 3319494929
- ISBN-13: 9783319494920
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相關分類:
Computer-Science
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商品描述
This volume contains some lecture notes of the 12th Reasoning Web Summer School (RW 2016), held in Aberdeen, UK, in September 2016.
In 2016, the theme of the school was “Logical Foundation of Knowledge Graph Construction and Query Answering”. The notion of knowledge graph has become popular since Google started to use it to improve its search engine in 2012. Inspired by the success of Google, knowledge graphs are gaining momentum in the World Wide Web arena. Recent years have witnessed increasing industrial take-ups by other Internet giants, including Facebook's Open Graph and Microsoft's Satori.
The aim of the lecture note is to provide a logical foundation for constructing and querying knowledge graphs. Our journey starts from the introduction of Knowledge Graph as well as its history, and the construction of knowledge graphs by considering both explicit and implicit author intentions. The book will then cover various topics, including how to revise and reuse ontologies (schema of knowledge graphs) in a safe way, how to combine navigational queries with basic pattern matching queries for knowledge graph, how to setup a environment to do experiments on knowledge graphs, how to deal with inconsistencies and fuzziness in ontologies and knowledge graphs, and how to combine machine learning and machine reasoning for knowledge graphs.
商品描述(中文翻譯)
本卷包含了2016年在英國阿伯丁舉辦的第十二屆推理網絡暑期學校(RW 2016)的一些講義筆記。
在2016年,該學校的主題是「知識圖譜構建與查詢回答的邏輯基礎」。自從2012年Google開始使用知識圖譜來改善其搜索引擎以來,知識圖譜的概念變得越來越流行。受到Google成功的啟發,知識圖譜在全球網絡領域中正逐漸獲得動力。近年來,其他互聯網巨頭也開始逐漸採用知識圖譜,包括Facebook的Open Graph和Microsoft的Satori。
這份講義的目的是為知識圖譜的構建和查詢提供邏輯基礎。我們的旅程從知識圖譜的介紹及其歷史開始,並考慮到明確和隱含的作者意圖來構建知識圖譜。接下來,書中將涵蓋各種主題,包括如何安全地修訂和重用本體(知識圖譜的架構)、如何將導航查詢與基本模式匹配查詢結合以進行知識圖譜查詢、如何設置環境以進行知識圖譜的實驗、如何處理本體和知識圖譜中的不一致性和模糊性,以及如何將機器學習與機器推理結合應用於知識圖譜。