Measuring and Analysing the Use of Ontologies: A Semantic Framework for Measuring Ontology Usage
暫譯: 測量與分析本體的使用:一個測量本體使用的語義框架
Ashraf, Jamshaid, Hussain, Omar K., Hussain, Farookh Khadeer
- 出版商: Springer
- 出版日期: 2019-01-30
- 售價: $4,600
- 貴賓價: 9.5 折 $4,370
- 語言: 英文
- 頁數: 288
- 裝訂: Quality Paper - also called trade paper
- ISBN: 3030092968
- ISBN-13: 9783030092962
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商品描述
This unique book succinctly summarizes the need to measure how ontologies (one of the building blocks of the Semantic Web) are currently being utilized, providing insights for various stakeholders. Where possible it improves and reuses terms in existing vocabularies/ontologies, as recommended by the Linked Data community. Recent advances in the Semantic Web have led to a proliferation of Resource Description Framework (RDF) data, which employ ontologies to semantically describe the information on the Web making it equally understandable for both humans and machines. However, to create a network effect, it is important that selective ontologies are used by more data publishers to improve the value of that ontology. For this to happen, it is vital to discover what is being used from an ontology to semantically annotate the information on the Web specific to a given domain. Answers to such basic but crucial questions can only be achieved by ascertaining how ontologies in the current semantic web are being utilized and adopted. The proposed frameworks to obtain such insights are explained with real-world examples to provide a clear and detailed description of ontology usage analysis.
Both theoretical and practical, the book is of value to academics and professionals working in industry. Specifically, it is of primary interest to researchers, graduate students and practitioners in the area of the Semantic Web and its various real-world applications.
商品描述(中文翻譯)
這本獨特的書簡明扼要地總結了測量本體(語義網的基本構建塊之一)目前如何被利用的必要性,並為各種利益相關者提供見解。在可能的情況下,它改進並重用現有詞彙/本體中的術語,這是Linked Data社群所推薦的。語義網的最新進展導致了資源描述框架(Resource Description Framework, RDF)數據的激增,這些數據利用本體來語義性地描述網路上的資訊,使其對人類和機器都同樣可理解。然而,為了創造網絡效應,重要的是更多的數據發布者使用選定的本體,以提高該本體的價值。為了實現這一點,發現哪些本體被用來對特定領域的網路資訊進行語義標註是至關重要的。對這些基本但關鍵問題的答案只能通過確定當前語義網中本體的使用和採納情況來獲得。為了獲得這些見解,所提出的框架用真實世界的例子進行說明,以提供清晰且詳細的本體使用分析描述。
這本書既有理論性又有實用性,對於學術界和業界的專業人士都具有價值。具體而言,它對於語義網及其各種實際應用領域的研究人員、研究生和從業者特別感興趣。