Relationship Extraction: Fundamentals and Applications

ยท Artificial Intelligence แƒฌแƒ˜แƒ’แƒœแƒ˜ 228 ยท One Billion Knowledgeable ยท แƒฎแƒ”แƒšแƒแƒ•แƒœแƒฃแƒ แƒ˜ แƒ˜แƒœแƒขแƒ”แƒšแƒ”แƒฅแƒขแƒ˜แƒก แƒ›แƒ˜แƒ”แƒ  แƒ›แƒแƒ—แƒฎแƒ แƒแƒ‘แƒ˜แƒšแƒ˜ Mason-แƒ˜แƒกแƒ’แƒแƒœ (Google-แƒ˜แƒ“แƒแƒœ)
แƒแƒฃแƒ“แƒ˜แƒแƒฌแƒ˜แƒ’แƒœแƒ˜
2 แƒกแƒ—, 8 แƒฌแƒ—
แƒจแƒ”แƒฃแƒ›แƒแƒ™แƒšแƒ”แƒ‘แƒ”แƒšแƒ˜
แƒ›แƒ˜แƒกแƒแƒฆแƒ”แƒ‘แƒ˜
แƒฎแƒ”แƒšแƒแƒ•แƒœแƒฃแƒ แƒ˜ แƒ˜แƒœแƒขแƒ”แƒšแƒ”แƒฅแƒขแƒ˜แƒก แƒ›แƒ˜แƒ”แƒ  แƒ›แƒแƒ—แƒฎแƒ แƒแƒ‘แƒ˜แƒšแƒ˜
แƒ แƒ”แƒ˜แƒขแƒ˜แƒœแƒ’แƒ”แƒ‘แƒ˜ แƒ“แƒ แƒ›แƒ˜แƒ›แƒแƒฎแƒ˜แƒšแƒ•แƒ”แƒ‘แƒ˜ แƒ“แƒแƒฃแƒ“แƒแƒกแƒขแƒฃแƒ แƒ”แƒ‘แƒ”แƒšแƒ˜แƒ ย แƒจแƒ”แƒ˜แƒขแƒงแƒ•แƒ”แƒ— แƒ›แƒ”แƒขแƒ˜
แƒ’แƒกแƒฃแƒ แƒ— 12 แƒฌแƒ—-แƒ˜แƒแƒœแƒ˜ แƒœแƒ˜แƒ›แƒฃแƒจแƒ˜? แƒ›แƒแƒฃแƒกแƒ›แƒ˜แƒœแƒ”แƒ— แƒ›แƒแƒก แƒœแƒ”แƒ‘แƒ˜แƒกแƒ›แƒ˜แƒ”แƒ  แƒ“แƒ แƒแƒก, แƒฎแƒแƒ–แƒ’แƒแƒ แƒ”แƒจแƒ” แƒ แƒ”แƒŸแƒ˜แƒ›แƒจแƒ˜แƒช แƒ™แƒ˜.ย 
แƒ“แƒแƒ›แƒแƒขแƒ”แƒ‘แƒ
แƒคแƒแƒกแƒ˜แƒก 28%-แƒ˜แƒ— แƒจแƒ”แƒ›แƒชแƒ˜แƒ แƒ”แƒ‘แƒ˜แƒก แƒ—แƒแƒ แƒ˜แƒฆแƒ˜: 6 แƒ˜แƒ•แƒš
แƒ”แƒšแƒฌแƒ˜แƒ’แƒœแƒ–แƒ” แƒ’แƒแƒ“แƒแƒ แƒ—แƒ•แƒ

แƒแƒ› แƒแƒฃแƒ“แƒ˜แƒแƒฌแƒ˜แƒ’แƒœแƒ˜แƒก แƒจแƒ”แƒกแƒแƒฎแƒ”แƒ‘

What Is Relationship Extraction


The identification and categorization of semantic relationship mentions within a collection of artifacts, most commonly taken from text or XML documents, is necessary for the completion of a job known as relationship extraction. The process is quite similar to that of information extraction (IE), although IE also needs the elimination of repeated relations (disambiguation) and generally refers to the extraction of a wide variety of various relationships. The goal is extremely similar.


How You Will Benefit


(I) Insights, and validations about the following topics:


Chapter 1: Relationship Extraction


Chapter 2: Semantic Network


Chapter 3: Ontology (computer science)


Chapter 4: Text Mining


Chapter 5: Information Extraction


Chapter 6: Relational Data Mining


Chapter 7: Semantic Similarity


Chapter 8: Ontology Learning


Chapter 9: Knowledge Extraction


Chapter 10: Knowledge Graph


(II) Answering the public top questions about relationship extraction.


(III) Real world examples for the usage of relationship extraction in many fields.


(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of relationship extraction' technologies.


Who This Book Is For


Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of relationship extraction.

แƒแƒ•แƒขแƒแƒ แƒ˜แƒก แƒจแƒ”แƒกแƒแƒฎแƒ”แƒ‘

Fouad Sabry is the former Regional Head of Business Development for Applications at HP. Fouad has received his B.Sc. of Computer Systems and Automatic Control in 1996, dual masterโ€™s degrees from University of Melbourne (UoM) in Australia, Master of Business Administration (MBA) in 2008, and Master of Management in Information Technology (MMIT) in 2010. Fouad has more than 30 years of experience in Information Technology and Telecommunications fields, working in local, regional, and international companies, such as Vodafone and IBM. Fouad joined HP in 2013 and helped develop the business in tens of markets. Currently, Fouad is an entrepreneur, author, futurist, and founder of One Billion Knowledge (1BK) Initiative.

แƒแƒ› แƒแƒฃแƒ“แƒ˜แƒแƒฌแƒ˜แƒ’แƒœแƒ˜แƒก แƒจแƒ”แƒคแƒแƒกแƒ”แƒ‘แƒ

แƒ’แƒ•แƒ˜แƒ—แƒฎแƒแƒ แƒ˜แƒ— แƒ—แƒฅแƒ•แƒ”แƒœแƒ˜ แƒแƒ–แƒ แƒ˜.

แƒ˜แƒœแƒคแƒแƒ แƒ›แƒแƒชแƒ˜แƒ แƒ›แƒแƒกแƒ›แƒ”แƒœแƒ˜แƒก แƒจแƒ”แƒกแƒแƒฎแƒ”แƒ‘

แƒกแƒ›แƒแƒ แƒขแƒคแƒแƒœแƒ”แƒ‘แƒ˜ แƒ“แƒ แƒขแƒแƒ‘แƒšแƒ”แƒขแƒ”แƒ‘แƒ˜
แƒ“แƒแƒแƒ˜แƒœแƒกแƒขแƒแƒšแƒ˜แƒ แƒ”แƒ— Google Play Books แƒแƒžแƒ˜ Android แƒ“แƒ iPad/iPhone แƒ›แƒแƒฌแƒงแƒแƒ‘แƒ˜แƒšแƒแƒ‘แƒ”แƒ‘แƒ˜แƒกแƒ—แƒ•แƒ˜แƒก. แƒ˜แƒก แƒแƒ•แƒขแƒแƒ›แƒแƒขแƒฃแƒ แƒแƒ“ แƒ’แƒแƒœแƒแƒฎแƒแƒ แƒชแƒ˜แƒ”แƒšแƒ”แƒ‘แƒก แƒกแƒ˜แƒœแƒฅแƒ แƒแƒœแƒ˜แƒ–แƒแƒชแƒ˜แƒแƒก แƒ—แƒฅแƒ•แƒ”แƒœแƒก แƒแƒœแƒ’แƒแƒ แƒ˜แƒจแƒ—แƒแƒœ แƒ“แƒ แƒกแƒแƒจแƒฃแƒแƒšแƒ”แƒ‘แƒแƒก แƒ›แƒแƒ’แƒชแƒ”แƒ›แƒ—, แƒฌแƒแƒ˜แƒ™แƒ˜แƒ—แƒฎแƒแƒ— แƒกแƒแƒกแƒฃแƒ แƒ•แƒ”แƒšแƒ˜ แƒ™แƒแƒœแƒขแƒ”แƒœแƒขแƒ˜ แƒœแƒ”แƒ‘แƒ˜แƒกแƒ›แƒ˜แƒ”แƒ  แƒแƒ“แƒ’แƒ˜แƒšแƒแƒก, แƒ แƒแƒ’แƒแƒ แƒช แƒแƒœแƒšแƒแƒ˜แƒœ, แƒ˜แƒกแƒ” แƒฎแƒแƒ–แƒ’แƒแƒ แƒ”แƒจแƒ” แƒ แƒ”แƒŸแƒ˜แƒ›แƒจแƒ˜.
แƒšแƒ”แƒžแƒขแƒแƒžแƒ”แƒ‘แƒ˜ แƒ“แƒ แƒ™แƒแƒ›แƒžแƒ˜แƒฃแƒขแƒ”แƒ แƒ”แƒ‘แƒ˜
แƒจแƒ”แƒ’แƒ˜แƒซแƒšแƒ˜แƒแƒ— แƒฌแƒแƒ˜แƒ™แƒ˜แƒ—แƒฎแƒแƒ— Google Play-แƒ–แƒ” แƒจแƒ”แƒซแƒ”แƒœแƒ˜แƒšแƒ˜ แƒฌแƒ˜แƒ’แƒœแƒ”แƒ‘แƒ˜ แƒ—แƒฅแƒ•แƒ”แƒœแƒ˜ แƒ™แƒแƒ›แƒžแƒ˜แƒฃแƒขแƒ”แƒ แƒ˜แƒก แƒ•แƒ”แƒ‘ แƒ‘แƒ แƒแƒฃแƒ–แƒ”แƒ แƒ˜แƒก แƒ’แƒแƒ›แƒแƒงแƒ”แƒœแƒ”แƒ‘แƒ˜แƒ—.
แƒฃแƒ™แƒแƒœแƒแƒœแƒ แƒ™แƒแƒœแƒขแƒ”แƒœแƒขแƒ˜แƒก แƒจแƒ”แƒกแƒแƒฎแƒ”แƒ‘ แƒ›แƒแƒฎแƒกแƒ”แƒœแƒ”แƒ‘แƒ

แƒกแƒ”แƒ แƒ˜แƒ˜แƒก แƒ’แƒแƒ’แƒ แƒซแƒ”แƒšแƒ”แƒ‘แƒ

Terminology Extraction: Fundamentals and Applications
Fouad Sabry
แƒฌแƒ˜แƒ’แƒœแƒ˜ 229
3,49ย โ‚ฌ2,49ย โ‚ฌ
Machine Perception: Fundamentals and Applications
Fouad Sabry
แƒฌแƒ˜แƒ’แƒœแƒ˜ 230
3,49ย โ‚ฌ2,49ย โ‚ฌ
Pattern Recognition: Fundamentals and Applications
Fouad Sabry
แƒฌแƒ˜แƒ’แƒœแƒ˜ 231
3,49ย โ‚ฌ
Computer Audition: Fundamentals and Applications
Fouad Sabry
แƒฌแƒ˜แƒ’แƒœแƒ˜ 232
3,49ย โ‚ฌ2,49ย โ‚ฌ
Speech Recognition: Fundamentals and Applications
Fouad Sabry
แƒฌแƒ˜แƒ’แƒœแƒ˜ 233
3,49ย โ‚ฌ
Speaker Recognition: Fundamentals and Applications
Fouad Sabry
แƒฌแƒ˜แƒ’แƒœแƒ˜ 234
3,49ย โ‚ฌ

แƒ›แƒ”แƒขแƒ˜ แƒแƒ•แƒขแƒแƒ แƒ˜แƒกแƒ’แƒแƒœ Fouad Sabry

Cognitive Architecture: Fundamentals and Applications
Fouad Sabry
แƒฌแƒ˜แƒ’แƒœแƒ˜ 33
3,49ย โ‚ฌ2,49ย โ‚ฌ
Support Vector Machine: Fundamentals and Applications
Fouad Sabry
แƒฌแƒ˜แƒ’แƒœแƒ˜ 30
3,49ย โ‚ฌ
Subsumption Architecture: Fundamentals and Applications for Behavior Based Robotics and Reactive Control
Fouad Sabry
แƒฌแƒ˜แƒ’แƒœแƒ˜ 19
3,49ย โ‚ฌ2,49ย โ‚ฌ
Artificial Neural Networks: Fundamentals and Applications for Decoding the Mysteries of Neural Computation
Fouad Sabry
แƒฌแƒ˜แƒ’แƒœแƒ˜ 1
3,49ย โ‚ฌ
Causal Calculus: Fundamentals and Applications
Fouad Sabry
แƒฌแƒ˜แƒ’แƒœแƒ˜ 71
3,49ย โ‚ฌ
Cyborgs: Fundamentals and Applications
Fouad Sabry
แƒฌแƒ˜แƒ’แƒœแƒ˜ 138
3,49ย โ‚ฌ

แƒ›แƒกแƒ’แƒแƒ•แƒกแƒ˜ แƒแƒฃแƒ“แƒ˜แƒแƒฌแƒ˜แƒ’แƒœแƒ”แƒ‘แƒ˜

Soft Computing: Fundamentals and Applications
Fouad Sabry
แƒฌแƒ˜แƒ’แƒœแƒ˜ 168
3,49ย โ‚ฌ
Artificial Neural Networks: Fundamentals and Applications for Decoding the Mysteries of Neural Computation
Fouad Sabry
แƒฌแƒ˜แƒ’แƒœแƒ˜ 1
3,49ย โ‚ฌ
Automatic Target Recognition: Fundamentals and Applications
Fouad Sabry
แƒฌแƒ˜แƒ’แƒœแƒ˜ 193
3,49ย โ‚ฌ
Conceptual Dependency Theory: Fundamentals and Applications
Fouad Sabry
แƒฌแƒ˜แƒ’แƒœแƒ˜ 128
3,49ย โ‚ฌ2,49ย โ‚ฌ
Acoustical Engineering: Innovations in Sound and Vibration for Robotic Systems
Fouad Sabry
แƒฌแƒ˜แƒ’แƒœแƒ˜ 98โ€ขWetenschap en technologie
4,49ย โ‚ฌ3,99ย โ‚ฌ
Support Vector Machine: Fundamentals and Applications
Fouad Sabry
แƒฌแƒ˜แƒ’แƒœแƒ˜ 30
3,49ย โ‚ฌ