Open AccessBook
A Developer’s Guide to the Semantic Web
TLDR
Software developers in industry and students specializing in Web development or Semantic Web technologies will find in this book the most complete guide to this exciting field available today.Abstract:
The Semantic Web represents a vision for how to make the huge amount of information on the Web automatically processable by machines on a large scale. For this purpose, a whole suite of standards, technologies and related tools have been specified and developed over the last couple of years, and they have now become the foundation for numerous new applications.A Developers Guide to the Semantic Web helps the reader to learn the core standards, key components, and underlying concepts. It provides in-depth coverage of both the what-is and how-to aspects of the Semantic Web. From Yus presentation, the reader will obtain not only a solid understanding about the Semantic Web, but also learn how to combine all the pieces to build new applications on the Semantic Web.Software developers in industry and students specializing in Web development or Semantic Web technologies will find in this book the most complete guide to this exciting field available today. Based on the step-by-step presentation of real-world projects, where the technologies and standards are applied, they will acquire the knowledge needed to design and implement state-of-the-art applications.read more
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Journal ArticleDOI
Context Aware Computing for The Internet of Things: A Survey
TL;DR: This paper surveys context awareness from an IoT perspective and addresses a broad range of techniques, methods, models, functionalities, systems, applications, and middleware solutions related to context awareness and IoT.
Posted Content
A Brief Survey of Text Mining: Classification, Clustering and Extraction Techniques
Mehdi Allahyari,Seyedamin Pouriyeh,Mehdi Assefi,Saeid Safaei,Elizabeth D. Trippe,Juan B. Gutierrez,Krys J. Kochut +6 more
TL;DR: Several of the most fundamental text mining tasks and techniques including text pre-processing, classification and clustering are described, which briefly explain text mining in biomedical and health care domains.
Journal ArticleDOI
Data-Driven Techniques in Disaster Information Management
Tao Li,Ning Xie,Chunqiu Zeng,Wubai Zhou,Li Zheng,Yexi Jiang,Yimin Yang,Hsin-Yu Ha,Wei Xue,Yue Huang,Shu-Ching Chen,Jainendra K. Navlakha,S. Sitharama Iyengar +12 more
TL;DR: A general overview of the requirements and system architectures of disaster management systems is presented and state-of-the-art data-driven techniques that have been applied on improving situation awareness as well as in addressing users’ information needs in disaster management are summarized.
Journal ArticleDOI
PubChemRDF: towards the semantic annotation of PubChem compound and substance databases
TL;DR: An approach to translate PubChem Substance and Compound information into Resource Description Framework (RDF) format was described, with the goal of semantically describing information available in the PubChem archive, pre-existing ontological frameworks were used, rather than creating new ones.
Journal ArticleDOI
An overview of the model integration process: From pre-integration assessment to testing
TL;DR: This paper characterize the model integration process and compare integration practices of different groups, and highlights key strategies, features, standards, and practices that can be employed by developers to increase reuse and interoperability of science software components and systems.