Semantic Web for the Working Ontologist, 2/e : Effective Modeling in RDFS and OWL (Paperback)
暫譯: 為實務本體論者而設的語意網,第二版:在 RDFS 和 OWL 中的有效建模 (平裝本)
Dean Allemang, James Hendler
- 出版商: Morgan Kaufmann
- 出版日期: 2011-05-20
- 售價: $2,300
- 貴賓價: 9.5 折 $2,185
- 語言: 英文
- 頁數: 384
- 裝訂: Paperback
- ISBN: 0123859654
- ISBN-13: 9780123859655
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相關分類:
地理資訊系統 Gis
海外代購書籍(需單獨結帳)
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相關主題
商品描述
Semantic Web models and technologies provide information in machine-readable languages that enable computers to access the Web more intelligently and perform tasks automatically without the direction of users. These technologies are relatively recent and advancing rapidly, creating a set of unique challenges for those developing applications.
Semantic Web for the Working Ontologist is the essential, comprehensive resource on semantic modeling, for practitioners in health care, artificial intelligence, finance, engineering, military intelligence, enterprise architecture, and more. Focused on developing useful and reusable models, this market-leading book explains how to build semantic content (ontologies) and how to build applications that access that content.
New in this edition:
- Coverage of the latest Semantic Web tools for organizing, querying, and processing information - see details in TOC below
- Detailed information on the latest ontologies used in key web applications including ecommerce, social networking, data mining, using government data, and more
- Updated with the latest developments and advances in Semantic Web technologies for organizing, querying, and processing information, including SPARQL, RDF and RDFS, OWL 2.0, and SKOS
- Detailed information on the ontologies used in today's key web applications, including ecommerce, social networking, data mining, using government data, and more
- Even more illustrative examples and case studies that demonstrate what semantic technologies are and how they work together to solve real-world problems
商品描述(中文翻譯)
語意網模型和技術提供以機器可讀的語言呈現資訊,使計算機能夠更智能地訪問網路並自動執行任務,而無需用戶的指導。這些技術相對較新且快速發展,為開發應用程式的人員帶來了一系列獨特的挑戰。
為在職本體論者而設的語意網 是一本關於語意建模的基本綜合資源,適用於醫療保健、人工智慧、金融、工程、軍事情報、企業架構等領域的從業者。該書專注於開發有用且可重用的模型,解釋如何構建語意內容(本體)以及如何構建訪問該內容的應用程式。
本版新增內容:
- 涵蓋最新的語意網工具,用於組織、查詢和處理資訊 - 詳情見下方目錄
- 有關當前關鍵網路應用中使用的最新本體的詳細資訊,包括電子商務、社交網路、資料挖掘、使用政府數據等
- 更新了語意網技術的最新發展和進展,用於組織、查詢和處理資訊,包括 SPARQL、RDF 和 RDFS、OWL 2.0 和 SKOS
- 有關當今關鍵網路應用中使用的本體的詳細資訊,包括電子商務、社交網路、資料挖掘、使用政府數據等
- 提供更多的示例和案例研究,展示語意技術是什麼以及它們如何協同工作以解決現實世界的問題