Semantic Computing


As the first volume of World Scientific Encyclopedia with Semantic Computing and Robotic Intelligence, this volume is designed to lay the foundation for the understanding of the Semantic Computing (SC), as a core concept to study Robotic Intelligence in the subsequent volumes.

This volume aims to provide a reference to the development of Semantic Computing, in the terms of "meaning", "context", and "intention". It brings together a series of technical notes, in average, no longer than 10 pages in length, each focuses on one topic in Semantic Computing; being review article or research paper, to explain the fundamental concepts, models or algorithms, and possible applications of the technology concerned.

This volume will address three core areas in Semantic Computing:

  • Understanding the (possibly naturally-expressed) intentions (semantics) of users and expressing them in a machine-processable format: Semantics description languages, ontology integration, interoperability
  • Understanding the meanings (semantics) of computational content (of various sorts, including, but is not limited to, text, video, audio, process, network, software and hardware) and expressing them in a machine-processable format in Multimedia, IoT, SDN, wearable computing, interfacable with mobile computing, search engines, question answering, web services, to support applications in biomedicine, healthcare, manufacturing, engineering, education, finance, entertainment, business, science and humanity
  • Mapping the semantics of the user in context for content retrieval, management, creation in the form of structured data, image and video, audio and speech, big data, natural language, deep learning.

  • Part 1: Understanding Semantics:
    • Open Information Extraction (D-T Vo and E Bagheri)
    • Methods and Resources for Computing Semantic Relatedness (Y Feng and E Bagheri)
    • Semantic Summarization of Web News (F Amato, V Moscato, A Picariello, G Sperlí, A D'Acierno and A Penta)
    • Event Identification in Social Networks (F Zarrinkalam and E Bagheri)
    • Community Detection in Social Networks (H Fani and E Bagheri)
    • High-Level Surveillance Event Detection (F Persia and D D'Auria)
  • Part 2: Data Science:
    • Selected Topics in Statistical Computing (S B Chatla, C-H Chen and G Shmueli)
    • Bayesian Networks: Theory, Applications and Sensitivity Issues (R S Kenett)
    • GLiM: Generalized Linear Models (J R Barr and S Zacks)
    • OLAP and Machine Learning (J Jin)
    • Survival Analysis via Cox Proportional Hazards Additive Models (L Bai and D Gillen)
    • Deep Learning (X Hao and G Zhang)
    • Two-Stage and Sequential Sampling for Estimation and Testing with Prescribed Precision (S Zacks)
    • Business Process Mining (A Pourmasoumi and E Bagheri)
    • The Information Quality Framework for Evaluating Data Science Programs (S Y Coleman and R S Kenett)
  • Part 3: Data Integration:
    • Enriching Semantic Search with Preference and Quality Scores (M Missikoff, A Formica, E Pourabbas and F Taglino)
    • Multilingual Semantic Dictionaries for Natural Language Processing: The Case of BabelNet (C D Bovi and R Navigli)
    • Model-Based Documentation (F Farazi, C Chapman, P Raju and W Byrne)
    • Entity Linking for Tweets (P Basile and A Caputo)
    • Enabling Semantic Technologies Using Multimedia Ontology (A M Rinaldi)
  • Part 4: Applications:
    • Semantic Software Engineering (T Wang, A Kitazawa and P Sheu)
    • A Multimedia Semantic Framework for Image Understanding and Retrieval (A Penta)
    • Use of Semantics in Robotics — Improving Doctors' Performance Using a Cricothyrotomy Simulator (D D'Auria and F Persia)
    • Semantic Localization (S Ma and Q Liu)
    • Use of Semantics in Bio-Informatics (C C N Wang and J J P Tsai)
    • Actionable Intelligence and Online Learning for Semantic Computing (C Tekin and M van der Schaar)

Readership: For students and researchers of Computer Science.

ISBN: 9789813227910
Cover Type: Hardcover
Page Count: 252
Year Published: 2017
Language: English

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