Querying Dynamic and Context-Sensitive Metadata in Semantic Web

This chapter will discuss Semantic Web standards and ontologies in two areas: (1) the medical sciences field and (2) the healthcare industry. Semantic Web standards are important in the medical sciences since much of the medical research that is available needs an avenue to be shared across disparate computer systems. Ontologies can provide a basis for the searching of context-based medical research information so that it can be integrated and used as a foundation for future research. The healthcare industry will be examined specifically in its use of electronic health records (EHR), which need Semantic Web standards to be communicated across different EHR systems. The increased use of EHRs across healthcare organizations will also require ontologies to support context-sensitive searching of information, as well as creating context-based rules for appointments, procedures, and tests so that the quality of healthcare is improved. Literature in these areas has been combined in this chapter to provide a general view of how Semantic Web standards and ontologies are used, and to give examples of applications in the areas of healthcare and the medical sciences.

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Semantic Web Standards and Ontologies in the Medical Sciences and Healthcare

Electronic Business ◽

10.4018/978-1-60566-056-1.ch143 ◽

2009 ◽

pp. 2323-2335

Author(s):

Sherrie D. Cannoy ◽

Lakshmi Iyer

Keyword(s):

Semantic Web ◽

Medical Research ◽

Quality Of Healthcare ◽

Future Research ◽

Healthcare Industry ◽

Medical Sciences ◽

Research Information ◽

Healthcare Organizations ◽

Context Sensitive ◽

Web Standards

This chapter will discuss Semantic Web standards and ontologies in two areas: (1) the medical sciences field and (2) the healthcare industry. Semantic Web standards are important in the medical sciences since much of the medical research that is available needs an avenue to be shared across disparate computer systems. Ontologies can provide a basis for the searching of context-based medical research information so that it can be integrated and used as a foundation for future research. The healthcare industry will be examined specifically in its use of electronic health records (EHR), which need Semantic Web standards to be communicated across different EHR systems. The increased use of EHRs across healthcare organizations will also require ontologies to support context-sensitive searching of information, as well as creating context-based rules for appointments, procedures, and tests so that the quality of healthcare is improved. Literature in these areas has been combined in this chapter to provide a general view of how Semantic Web standards and ontologies are used, and to give examples of applications in the areas of healthcare and the medical sciences.

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Semantic Web Standards and Ontologies in the Medical Sciences and Healthcare

Medical Informatics ◽

10.4018/978-1-60566-050-9.ch006 ◽

2011 ◽

pp. 65-77

Author(s):

Sherrie D. Cannoy

Keyword(s):

Semantic Web ◽

Medical Research ◽

Quality Of Healthcare ◽

Future Research ◽

Healthcare Industry ◽

Medical Sciences ◽

Research Information ◽

Healthcare Organizations ◽

Context Sensitive ◽

Web Standards

This chapter will discuss Semantic Web standards and ontologies in two areas: (1) the medical sciences field and (2) the healthcare industry. Semantic Web standards are important in the medical sciences since much of the medical research that is available needs an avenue to be shared across disparate computer systems. Ontologies can provide a basis for the searching of context-based medical research information so that it can be integrated and used as a foundation for future research. The healthcare industry will be examined specifically in its use of electronic health records (EHR), which need Semantic Web standards to be communicated across different EHR systems. The increased use of EHRs across healthcare organizations will also require ontologies to support context-sensitive searching of information, as well as creating context-based rules for appointments, procedures, and tests so that the quality of healthcare is improved. Literature in these areas has been combined in this chapter to provide a general view of how Semantic Web standards and ontologies are used, and to give examples of applications in the areas of healthcare and the medical sciences.

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Semantic Web-Enhanced Context-Aware Computing in Mobile Systems

Mobile Computing Techniques in Emerging Markets ◽

10.4018/978-1-4666-0080-5.ch003 ◽

2012 ◽

pp. 47-96 ◽

Cited By ~ 1

Author(s):

Stefan Zander ◽

Bernhard Schandl

Keyword(s):

Information Systems ◽

Semantic Web ◽

Mobile Systems ◽

Context Aware ◽

Web Based ◽

Context Aware Computing ◽

Context Sensitive ◽

Mobile Information ◽

Distributed Transaction ◽

Mobile Information Systems

The goal of this chapter is to provide detailed insights into the field of Semantic Web-based context-aware computing for mobile systems. Readers will learn why context awareness will be a central aspect of future mobile information systems, and about the role semantic technologies can play in creating a context-aware infrastructure and the benefits they offer. The chapter introduces requirements, enabling technologies, and future directions of such systems. It presents a Semantic Web-based context-sensitive infrastructure that resembles concepts from graph theory and distributed transaction management. This infrastructure allows for an efficient acquisition, representation, management, and processing of contextual information while taking into account the peculiarities and operating environments of mobile information systems. Authors demonstrate how context-relevant data acquired from local and remote sensors can be represented using Semantic Web technologies, with the goal to replicate data related to the user’s current and future information needs to a mobile device in a proactive and transparent manner. In consequence, the user is equipped with contextually relevant information anytime and anywhere.

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Interleaving Semantic Web Reasoning and Service Discovery to Enforce Context-Sensitive Security and Privacy Policies

10.21236/ada456148 ◽

2005 ◽

Author(s):

Jinghai Rao ◽

Norman Sadeh

Keyword(s):

Semantic Web ◽

Service Discovery ◽

Security And Privacy ◽

Privacy Policies ◽

Context Sensitive

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Neuropsychology in the Real World

Zeitschrift für Neuropsychologie ◽

10.1024/1016-264x/a000139 ◽

2014 ◽

Vol 25 (4) ◽

pp. 233-238 ◽

Cited By ~ 2

Author(s):

Martin Peper ◽

Simone N. Loeffler

Keyword(s):

Neuropsychological Assessment ◽

Real World ◽

Ecological Validity ◽

Real Life ◽

Emotional States ◽

Context Sensitive ◽

Traditional Assessment ◽

Life Data ◽

Real Life Data ◽

Assessment And Treatment

Current ambulatory technologies are highly relevant for neuropsychological assessment and treatment as they provide a gateway to real life data. Ambulatory assessment of cognitive complaints, skills and emotional states in natural contexts provides information that has a greater ecological validity than traditional assessment approaches. This issue presents an overview of current technological and methodological innovations, opportunities, problems and limitations of these methods designed for the context-sensitive measurement of cognitive, emotional and behavioral function. The usefulness of selected ambulatory approaches is demonstrated and their relevance for an ecologically valid neuropsychology is highlighted.

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