Atnaujinkite slapukų nuostatas

El. knyga: Semantic Web Technologies: Research and Applications

Edited by (National Forensic Sciences Univ, India), Edited by (Sharda University, India), Edited by (Eastern International Univ, Vietnam)

DRM apribojimai

  • Kopijuoti:

    neleidžiama

  • Spausdinti:

    neleidžiama

  • El. knygos naudojimas:

    Skaitmeninių teisių valdymas (DRM)
    Leidykla pateikė šią knygą šifruota forma, o tai reiškia, kad norint ją atrakinti ir perskaityti reikia įdiegti nemokamą programinę įrangą. Norint skaityti šią el. knygą, turite susikurti Adobe ID . Daugiau informacijos  čia. El. knygą galima atsisiųsti į 6 įrenginius (vienas vartotojas su tuo pačiu Adobe ID).

    Reikalinga programinė įranga
    Norint skaityti šią el. knygą mobiliajame įrenginyje (telefone ar planšetiniame kompiuteryje), turite įdiegti šią nemokamą programėlę: PocketBook Reader (iOS / Android)

    Norint skaityti šią el. knygą asmeniniame arba „Mac“ kompiuteryje, Jums reikalinga  Adobe Digital Editions “ (tai nemokama programa, specialiai sukurta el. knygoms. Tai nėra tas pats, kas „Adobe Reader“, kurią tikriausiai jau turite savo kompiuteryje.)

    Negalite skaityti šios el. knygos naudodami „Amazon Kindle“.

Semantic web technologies (SWTs) offer the richest machine-interpretable (rather than just machine-processable) and explicit semantics that are being extensively used in various domains and industries. This book provides a roadmap for semantic web technologies (SWTs) and highlights their role in a wide range of domains including cloud computing, Internet of Things, big data, sensor network, and so forth. It also explores the prospects of these technologies including different data interchange formats, query languages, ontologies, Linked Data, and notations. The role of SWTs in ‘epidemic Covid-19’, ‘e-learning platforms and systems’, ‘block chain’, ‘open online courses’, and ‘visual analytics in healthcare’ is described as well. This book:

  • Explores all the critical aspects of semantic web technologies (SWTs)
  • Discusses the impact of SWTs on cloud computing, Internet of Things, big data, and sensor network
  • Offers a comprehensive examination of the emerging research in the areas of SWTs and their related domains
  • Provides a template to develop a wide range of smart and intelligent applications
  • Includes latest applications and examples with real data

This book is aimed at researchers and graduate students in computer science, informatics, web technology, cloud computing, and Internet of Things.



This book provides a roadmap for Semantic Web Technologies (SWTs) and highlights their role in wide range of domains including Cloud Computing, IoT, Big data, Sensor Network, and so forth. It also explores the prospects of these technologies including different data interchange formats, query languages, ontologies, Linked Data, and notations.
1. Semantic Web Technologies.
2. Leveraging Semantic Web Technologies for Veracity Assessment of Big Biodiversity Data.
3. Semantic Web Technologies: Latest Industrial Applications.
4. Latest Applications of Semantic Web Technologies for Service Industry.
5. Semantic Web Ontology Centred University Course Recommendation Scheme.
6. Exploring Reasoning for Utilizing the Full Potential of Semantic Web.
7. Ontology Modeling: An Overview of Semantic Web Ontology Formalisms and Engineering Approaches with Editorial Tools.
8. Semantic Annotation of Objects of Interest in Digitized Herbarium Specimens for Fine-Grained Object Classification.
9. UpOnto: Strategic Conceptual Ontology Modeling for Unit Operations in Chemical Industries and Their Retrieval Using Firefly Algorithm.
10. Ontologies for Knowledge Representation: Tools and Techniques for Building Ontologies.
11. Data Science and Ontologies: An Exploratory Study.
12. Ontology Application to Constructing the Gmdh-Based Inductive Modeling Tools.
13. Exploring the Contemporary Area of Ontology Research: FAIR Ontology.
14. Analysis of Ontology-Based Semantic Association Rule Mining.
15. Visualizing Chat-Bot Knowledge Graph Using RDF.
16. Towards Data Integration in the Era of Big Data: Role of Ontologies.
Archana Patel, Narayan C. Debnath, Bharat Bhushan