Roles And Challenges Of Semantic Intelligence In Healthcare Cognitive Computing

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Roles and Challenges of Semantic Intelligence in Healthcare Cognitive Computing

A. Carbonaro,S. Tiwari,F. Ortiz-Rodriguez
Roles and Challenges of Semantic Intelligence in Healthcare Cognitive Computing Book PDF

Author : A. Carbonaro,S. Tiwari,F. Ortiz-Rodriguez
Publisher : IOS Press
Page : 178 pages
File Size : 40,6 Mb
Release : 2024-01-26
Category : Computers
ISBN : 9781643684611

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Roles and Challenges of Semantic Intelligence in Healthcare Cognitive Computing by A. Carbonaro,S. Tiwari,F. Ortiz-Rodriguez Pdf

The data that must be processed in healthcare includes text, numbers, statistics, and images, and healthcare systems are continuously acquiring novel data from cutting-edge technologies like wearable devices. Semantic intelligence technologies, such as artificial intelligence, machine learning, and the internet of things, together with the hybrid methodologies which combine these approaches, are central to the development of the intelligent, knowledge-based systems now used in healthcare. This book, Roles and Challenges of Semantic Intelligence in Healthcare Cognitive Computing explores those emerging fields of science and technology in which cognitive computing techniques offer the effective solutions poised to impact healthcare in the foreseeable future, minimizing errors and improving the effectiveness of personalized care models. The book assesses the current landscape, and identifies the roles and challenges of integrating cognitive computing techniques into the widespread adoption of innovative smart healthcare solutions. Each chapter is the result of collaboration by experts from various domains, and provides a detailed overview of the potential offered by new technologies in the field. A wide spectrum of topics and emerging trends are covered, reflecting the multidisciplinary nature of healthcare and cognitive computing and including digital twins, eXplainable AI, AI-based decision-support systems in intensive care, and culinary healthcare, as well as the semantic internet of things (SIoT), natural language processing, and deep learning and graph models. The book presents new ideas which will facilitate collaboration among the different disciplines involved, and will be of interest to all those working in this rapidly evolving field.

Reasoning Techniques for the Web of Data

A. Hogan
Reasoning Techniques for the Web of Data Book PDF

Author : A. Hogan
Publisher : IOS Press
Page : 344 pages
File Size : 42,8 Mb
Release : 2014-04-09
Category : Computers
ISBN : 9781614993834

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Reasoning Techniques for the Web of Data by A. Hogan Pdf

Linked Data publishing has brought about a novel “Web of Data”: a wealth of diverse, interlinked, structured data published on the Web. These Linked Datasets are described using the Semantic Web standards and are openly available to all, produced by governments, businesses, communities and academia alike. However, the heterogeneity of such data – in terms of how resources are described and identified – poses major challenges to potential consumers. Herein, we examine use cases for pragmatic, lightweight reasoning techniques that leverage Web vocabularies (described in RDFS and OWL) to better integrate large scale, diverse, Linked Data corpora. We take a test corpus of 1.1 billion RDF statements collected from 4 million RDF Web documents and analyse the use of RDFS and OWL therein. We then detail and evaluate scalable and distributed techniques for applying rule-based materialisation to translate data between different vocabularies, and to resolve coreferent resources that talk about the same thing. We show how such techniques can be made robust in the face of noisy and often impudent Web data. We also examine a use case for incorporating a PagerRank-style algorithm to rank the trustworthiness of facts produced by reasoning, subsequently using those ranks to fix formal contradictions in the data. All of our methods are validated against our real world, large scale, open domain, Linked Data evaluation corpus.

Perspectives on Ontology Learning

J. Lehmann,J. Völker
Perspectives on Ontology Learning Book PDF

Author : J. Lehmann,J. Völker
Publisher : IOS Press
Page : 299 pages
File Size : 41,7 Mb
Release : 2014-04-03
Category : Computers
ISBN : 9781614993797

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Perspectives on Ontology Learning by J. Lehmann,J. Völker Pdf

Perspectives on Ontology Learning brings together researchers and practitioners from different communities − natural language processing, machine learning, and the semantic web − in order to give an interdisciplinary overview of recent advances in ontology learning. Starting with a comprehensive introduction to the theoretical foundations of ontology learning methods, the edited volume presents the state-of-the-start in automated knowledge acquisition and maintenance. It outlines future challenges in this area with a special focus on technologies suitable for pushing the boundaries beyond the creation of simple taxonomical structures, as well as on problems specifically related to knowledge modeling and representation using the Web Ontology Language. Perspectives on Ontology Learning is designed for researchers in the field of semantic technologies and developers of knowledge-based applications. It covers various aspects of ontology learning including ontology quality, user interaction, scalability, knowledge acquisition from heterogeneous sources, as well as the integration with ontology engineering methodologies.

Cognitive Computing for Internet of Medical Things

A Prasanth,Lakshmi D,Rajesh Kumar Dhanaraj,Balamurugan Balusamy,Sherimon P C
Cognitive Computing for Internet of Medical Things Book PDF

Author : A Prasanth,Lakshmi D,Rajesh Kumar Dhanaraj,Balamurugan Balusamy,Sherimon P C
Publisher : CRC Press
Page : 231 pages
File Size : 46,5 Mb
Release : 2022-12-23
Category : Computers
ISBN : 9781000806007

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Cognitive Computing for Internet of Medical Things by A Prasanth,Lakshmi D,Rajesh Kumar Dhanaraj,Balamurugan Balusamy,Sherimon P C Pdf

Cognitive Computing for Internet of Medical Things (IoMT) offers a complete assessment of the present scenario, role, challenges, technologies, and impact of IoMT-enabled smart healthcare systems. It contains chapters discussing various biomedical applications under the umbrella of the IoMT. Key Features Exploits the different prospects of cognitive computing techniques for the IoMT and smart healthcare applications Addresses the significance of IoMT and cognitive computing in the evolution of intelligent medical systems for biomedical applications Describes the different computing techniques of cognitive intelligent systems from a practical point of view: solving common life problems Explores the technologies and tools to utilize IoMT for the transformation and growth of healthcare systems Focuses on the economic, social, and environmental impact of IoMT-enabled smart healthcare systems This book is primarily aimed at graduates, researchers and academicians working in the area of development of the application of the of the application of the IoT in smart healthcare. Industry professionals will also find this book helpful.

Computational Intelligence in Healthcare

Meenu Gupta,Shakeel Ahmed,Rakesh Kumar,Chadi Altrjman
Computational Intelligence in Healthcare Book PDF

Author : Meenu Gupta,Shakeel Ahmed,Rakesh Kumar,Chadi Altrjman
Publisher : CRC Press
Page : 227 pages
File Size : 49,6 Mb
Release : 2023-02-10
Category : Computers
ISBN : 9781000829440

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Computational Intelligence in Healthcare by Meenu Gupta,Shakeel Ahmed,Rakesh Kumar,Chadi Altrjman Pdf

Computational intelligence (CI) refers to the ability of computers to accomplish tasks that are normally completed by intelligent beings such as humans and animals. Artificial intelligent systems offer great improvement in healthcare systems by providing more intelligent and convenient solutions and services assisted by machine learning, wireless communications, data analytics, cognitive computing, and mobile computing. Modern health treatments are faced with the challenge of acquiring, analysing, and applying the large amount of knowledge necessary to solve complex problems. AI techniques are being effectively used in the field of healthcare systems by extracting the useful information from the vast amounts of data by applying human expertise and CI methods, such as fuzzy models, artificial neural networks, evolutionary algorithms, and probabilistic methods which have recently emerged as promising tools for the development and application of intelligent systems in healthcare practice. This book starts with the fundamentals of computer intelligence and the techniques and procedures associated with them. Contained in the book are state-of-the-art CI methods and other allied techniques used in healthcare systems as well as advances in different CI methods that confront the problem of effective data analysis and storage faced by healthcare institutions. The objective of this book is to provide the latest research related to the healthcare sector to researchers and engineers with a platform encompassing state-of-the-art innovations, research and design, and the implementation of methodologies.

Computational Intelligence in Healthcare

Amit Kumar Manocha,Shruti Jain,Mandeep Singh,Sudip Paul
Computational Intelligence in Healthcare Book PDF

Author : Amit Kumar Manocha,Shruti Jain,Mandeep Singh,Sudip Paul
Publisher : Springer Nature
Page : 418 pages
File Size : 49,5 Mb
Release : 2021-05-11
Category : Medical
ISBN : 9783030687236

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Computational Intelligence in Healthcare by Amit Kumar Manocha,Shruti Jain,Mandeep Singh,Sudip Paul Pdf

Artificial intelligent systems, which offer great improvement in healthcare sector assisted by machine learning, wireless communications, data analytics, cognitive computing, and mobile computing provide more intelligent and convenient solutions and services. With the help of the advanced techniques, now a days it is possible to understand human body and to handle & process the health data anytime and anywhere. It is a smart healthcare system which includes patient, hospital management, doctors, monitoring, diagnosis, decision making modules, disease prevention to meet the challenges and problems arises in healthcare industry. Furthermore, the advanced healthcare systems need to upgrade with new capabilities to provide human with more intelligent and professional healthcare services to further improve the quality of service and user experience. To explore recent advances and disseminate state-of-the-art techniques related to intelligent healthcare services and applications. This edited book involved in designing systems that will permit the societal acceptance of ambient intelligence including signal processing, imaging, computing, instrumentation, artificial intelligence, internet of health things, data analytics, disease detection, telemedicine, and their applications. As the book includes recent trends in research issues and applications, the contents will be beneficial to Professors, researchers, and engineers. This book will provide support and aid to the researchers involved in designing latest advancements in communication and intelligent systems that will permit the societal acceptance of ambient intelligence. This book presents the latest research being conducted on diverse topics in intelligence technologies with the goal of advancing knowledge and applications healthcare sector and to present the latest snapshot of the ongoing research as well as to shed further light on future directions in this space. The aim of publishing the book is to serve for educators, researchers, and developers working in recent advances and upcoming technologies utilizing computational sciences.

Empirical Ontology Design Patterns

V.A. Carriero
Empirical Ontology Design Patterns Book PDF

Author : V.A. Carriero
Publisher : IOS Press
Page : 154 pages
File Size : 48,7 Mb
Release : 2024-01-26
Category : Computers
ISBN : 9781643684796

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Empirical Ontology Design Patterns by V.A. Carriero Pdf

In recent years, knowledge graphs (KGs) and ontologies have been widely adopted for modeling many kinds of domain. They are frequently released openly, something which benefits those who are starting new projects, because it offers them a wide choice of ontology reuse and the possibility to link to existing data. Understanding the content of an ontology or a knowledge graph is far from straightforward, however, and existing methods address this issue only partially, while exploring and comparing multiple ontologies can be a tedious manual task. This book, Empirical Ontology Design Patterns, starts from the premise that identifying the Ontology Design Patterns (ODPs) used in an ontology or a knowledge graph will go some way to addressing this problem. Its main focus is to provide tools which will effectively support the task of automatically identifying ODPs in existing ontologies and knowledge graphs. The book analyses the role of ODPs in ontology engineering, placing this analysis in the wider context of existing approaches to ontology reuse and implementation. It introduces a novel method for extracting empirical ontology design patterns (EODPs) from ontologies, and another for extracting EODPs from knowledge graphs whose schemas are implicit. Both methods are applied to ontologies and knowledge graphs frequently adopted and reused, such as Wikidata. The book also offers an ontology which can be used as a basis for annotating ODPs in ontologies and knowledge graphs, whether manually or automatically. The book will be of interest to all those whose work involves the use or reuse of ontologies and knowledge graphs.

The Semantic Web in Earth and Space Science. Current Status and Future Directions

T. Narock,P. Fox
The Semantic Web in Earth and Space Science Current Status and Future Directions Book PDF

Author : T. Narock,P. Fox
Publisher : IOS Press
Page : 209 pages
File Size : 43,9 Mb
Release : 2015-07-14
Category : Computers
ISBN : 9781614995012

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The Semantic Web in Earth and Space Science. Current Status and Future Directions by T. Narock,P. Fox Pdf

The geosciences are one of the fields leading the way in advancing semantic technologies. This book continues the dialogue and feedback between the geoscience and semantic web communities. Increasing data volumes within the geosciences makes it no longer practical to copy data and perform local analysis. Hypotheses are now being tested through online tools that combine and mine pools of data. This evolution in the way research is conducted is commonly referred to as e-Science. As e-Science has flourished, the barriers to free and open access to data have been lowered and the need for semantics has been heighted. As the volume, complexity, and heterogeneity of data resources grow, geoscientists are creating new capabilities that rely on semantic approaches. Geoscience researchers are actively working toward a research environment of software tools and interfaces to data archives and services with the goals of full-scale semantic integration beginning to take shape. The members of this emerging semantic e-Science community are increasingly in need of semantic-based methodologies, tools and infrastructure. A feedback system between the geo- and computational sciences is forming. Advances in knowledge modeling, logic-based hypothesis checking, semantic data integration, and knowledge discovery are leading to advances in scientific domains, which in turn are validating semantic approaches and pointing to new research directions. We present mature semantic applications within the geosciences and stimulate discussion on emerging challenges and new research directions.

Advances in Ontology Design and Patterns

K. Hammar,P. Hitzler,A. Krisnadhi
Advances in Ontology Design and Patterns Book PDF

Author : K. Hammar,P. Hitzler,A. Krisnadhi
Publisher : IOS Press
Page : 162 pages
File Size : 47,7 Mb
Release : 2017-12-27
Category : Computers
ISBN : 9781614998266

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Advances in Ontology Design and Patterns by K. Hammar,P. Hitzler,A. Krisnadhi Pdf

The study of patterns in the context of ontology engineering for the semantic web was pioneered more than a decade ago by Blomqvist, Sandkuhl and Gangemi. Since then, this line of research has flourished and led to the development of ontology design patterns, knowledge patterns, and linked data patterns: the patterns as they are known by ontology designers, knowledge engineers, and linked data publishers, respectively. A key characteristic of those patterns is that they are modular and reusable solutions to recurrent problems in ontology engineering and linked data publishing. This book contains recent contributions which advance the state of the art on theory and use of ontology design patterns. The papers collected in this book cover a range of topics, from a method to instantiate content patterns, a proposal on how to document a content pattern, to a number of patterns emerging in ontology modeling in various situations.

Cognitive Intelligence and Big Data in Healthcare

D. Sumathi,T. Poongodi,B. Balamurugan,Lakshmana Kumar Ramasamy
Cognitive Intelligence and Big Data in Healthcare Book PDF

Author : D. Sumathi,T. Poongodi,B. Balamurugan,Lakshmana Kumar Ramasamy
Publisher : John Wiley & Sons
Page : 420 pages
File Size : 44,7 Mb
Release : 2022-08-23
Category : Computers
ISBN : 9781119771975

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Cognitive Intelligence and Big Data in Healthcare by D. Sumathi,T. Poongodi,B. Balamurugan,Lakshmana Kumar Ramasamy Pdf

COGNITIVE INTELLIGENCE AND BIG DATA IN HEALTHCARE Applications of cognitive intelligence, advanced communication, and computational methods can drive healthcare research and enhance existing traditional methods in disease detection and management and prevention. As health is the foremost factor affecting the quality of human life, it is necessary to understand how the human body is functioning by processing health data obtained from various sources more quickly. Since an enormous amount of data is generated during data processing, a cognitive computing system could be applied to respond to queries, thereby assisting in customizing intelligent recommendations. This decision-making process could be improved by the deployment of cognitive computing techniques in healthcare, allowing for cutting-edge techniques to be integrated into healthcare to provide intelligent services in various healthcare applications. This book tackles all these issues and provides insight into these diversified topics in the healthcare sector and shows the range of recent innovative research, in addition to shedding light on future directions in this area. Audience The book will be very useful to a wide range of specialists including researchers, engineers, and postgraduate students in artificial intelligence, bioinformatics, information technology, as well as those in biomedicine.

Semantic Data Mining

A. Ławrynowicz
Semantic Data Mining Book PDF

Author : A. Ławrynowicz
Publisher : IOS Press
Page : 210 pages
File Size : 46,6 Mb
Release : 2017-04-18
Category : Computers
ISBN : 9781614997467

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Semantic Data Mining by A. Ławrynowicz Pdf

Ontologies are now increasingly used to integrate, and organize data and knowledge, particularly in data and knowledge-intensive applications in both research and industry. The book is devoted to semantic data mining – a data mining approach where domain ontologies are used as background knowledge, and where the new challenge is to mine knowledge encoded in domain ontologies and knowledge graphs, rather than only purely empirical data. The introductory chapters of the book provide theoretical foundations of both data mining and ontology representation. Taking a unified perspective, the book then covers several methods for semantic data mining, addressing tasks such as pattern mining, classification and similarity-based approaches. It attempts to provide state-of-the-art answers to specific challenges and peculiarities of data mining with use of ontologies, in particular: How to deal with incompleteness of knowledge and the so-called Open World Assumption? What is a truly “semantic” similarity measure? The book contains several chapters with examples of applications of semantic data mining. The examples start from a scenario with moderate use of lightweight ontologies for knowledge graph enrichment and end with a full-fledged scenario of an intelligent knowledge discovery assistant using complex domain ontologies for meta-mining, i.e., an ontology-based meta-learning approach to full data mining processes. The book is intended for researchers in the fields of semantic technologies, knowledge engineering, data science, and data mining, and developers of knowledge-based systems and applications.

Exploiting Semantic Web Knowledge Graphs in Data Mining

P. Ristoski
Exploiting Semantic Web Knowledge Graphs in Data Mining Book PDF

Author : P. Ristoski
Publisher : IOS Press
Page : 246 pages
File Size : 50,7 Mb
Release : 2019-06-28
Category : Computers
ISBN : 9781614999812

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Exploiting Semantic Web Knowledge Graphs in Data Mining by P. Ristoski Pdf

Data Mining and Knowledge Discovery in Databases (KDD) is a research field concerned with deriving higher-level insights from data. The tasks performed in this field are knowledge intensive and can benefit from additional knowledge from various sources, so many approaches have been proposed that combine Semantic Web data with the data mining and knowledge discovery process. This book, Exploiting Semantic Web Knowledge Graphs in Data Mining, aims to show that Semantic Web knowledge graphs are useful for generating valuable data mining features that can be used in various data mining tasks. In Part I, Mining Semantic Web Knowledge Graphs, the author evaluates unsupervised feature generation strategies from types and relations in knowledge graphs used in different data mining tasks such as classification, regression, and outlier detection. Part II, Semantic Web Knowledge Graphs Embeddings, proposes an approach that circumvents the shortcomings introduced with the approaches in Part I, developing an approach that is able to embed complete Semantic Web knowledge graphs in a low dimensional feature space where each entity and relation in the knowledge graph is represented as a numerical vector. Finally, Part III, Applications of Semantic Web Knowledge Graphs, describes a list of applications that exploit Semantic Web knowledge graphs like classification and regression, showing that the approaches developed in Part I and Part II can be used in applications in various domains. The book will be of interest to all those working in the field of data mining and KDD.

Semantic Search for Novel Information

M. Färber
Semantic Search for Novel Information Book PDF

Author : M. Färber
Publisher : IOS Press
Page : 214 pages
File Size : 40,5 Mb
Release : 2017-07-18
Category : Computers
ISBN : 9781614997757

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Semantic Search for Novel Information by M. Färber Pdf

In this book, new approaches are presented for detecting and extracting simultaneously relevant and novel information from unstructured text documents. A major contribution of these approaches is that the information already provided and the extracted information are modeled semantically. This leads to the following benefits: (a) ambiguities in the language can be resolved; (b) the exact information needs regarding relevance and novelty can be specified; and (c) knowledge graphs can be incorporated. More specifically, this book presents the following scientific contributions: 1. An assessment of the suitability of existing large knowledge graphs (namely, DBpedia, Freebase, OpenCyc, Wikidata, and YAGO) for the task of detecting novel information in text documents. 2. A description of an approach by which emerging entities that are missing in a knowledge graph are detected in a stream of text documents. 3. A suggestion for an approach to extracting novel, relevant, semantically-structured statements from text documents. The developed approaches are suitable for the recommendation of emerging entities and novel statements respectively, for the purpose of knowledge graph population, and for providing assistance to users requiring novel information, such as journalists and technology scouts.

Computational Intelligence in Healthcare 4

Isabelle Bichindaritz,Sachin Vaidya,Ashlesha Jain
Computational Intelligence in Healthcare 4 Book PDF

Author : Isabelle Bichindaritz,Sachin Vaidya,Ashlesha Jain
Publisher : Springer
Page : 464 pages
File Size : 46,7 Mb
Release : 2010-10-05
Category : Technology & Engineering
ISBN : 9783642144646

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Computational Intelligence in Healthcare 4 by Isabelle Bichindaritz,Sachin Vaidya,Ashlesha Jain Pdf

Computational Intelligence is comparatively a new field but it has made a tremendous progress in virtually every discipline right from engineering, science, business, m- agement, aviation to healthcare. Computational intelligence already has a solid track-record of applications to healthcare, of which this book is a continuation. We would like to refer the reader to the excellent previous volumes in this series on computational intelligence in heal- care [1-3]. This book is aimed at providing the most recent advances and state of the art in the practical applications of computational intelligence paradigms in healthcare. It - cludes nineteen chapters on using various computational intelligence methods in healthcare such as intelligent agents and case-based reasoning. A number of fielded applications and case studies are presented. Highlighted are in particular novel c- putational approaches to the semantic management of health information such as in the Web 2.0, mobile agents such as in portable devices, learning agents capable of adapting to diverse clinical settings through case-based reasoning, and statistical - proaches in computational intelligence. This book is targeted towards scientists, application engineers, professors, health professionals, professors, and students. Background information on computational intelligence has been provided whenever necessary to facilitate the comprehension of a broad audience including healthcare practitioners.

Services for Connecting and Integrating Big Numbers of Linked Datasets

M. Mountantonakis
Services for Connecting and Integrating Big Numbers of Linked Datasets Book PDF

Author : M. Mountantonakis
Publisher : IOS Press
Page : 314 pages
File Size : 41,5 Mb
Release : 2021-02-19
Category : Computers
ISBN : 9781643681658

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Services for Connecting and Integrating Big Numbers of Linked Datasets by M. Mountantonakis Pdf

Linked Data is a method of publishing structured data to facilitate sharing, linking, searching and re-use. Many such datasets have already been published, but although their number and size continues to increase, the main objectives of linking and integration have not yet been fully realized, and even seemingly simple tasks, like finding all the available information for an entity, are still challenging. This book, Services for Connecting and Integrating Big Numbers of Linked Datasets, is the 50th volume in the series ‘Studies on the Semantic Web’. The book analyzes the research work done in the area of linked data integration, and focuses on methods that can be used at large scale. It then proposes indexes and algorithms for tackling some of the challenges, such as, methods for performing cross-dataset identity reasoning, finding all the available information for an entity, methods for ordering content-based dataset discovery, and others. The author demonstrates how content-based dataset discovery can be reduced to solving optimization problems, and techniques are proposed for solving these efficiently while taking the contents of the datasets into consideration. To order them in real time, the proposed indexes and algorithms have been implemented in a suite of services called LODsyndesis, in turn enabling the implementation of other high level services, such as techniques for knowledge graph embeddings, and services for data enrichment which can be exploited for machine-learning tasks, and which also improve the prediction of machine-learning problems.