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Natural Language Processing for the Semantic Web

Author : Diana Maynard
Publisher : Springer Nature
ISBN 13 : 3031794745
Total Pages : 182 pages
Book Rating : 4.0/5 (317 download)

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Book Synopsis Natural Language Processing for the Semantic Web by : Diana Maynard

Download or read book Natural Language Processing for the Semantic Web written by Diana Maynard and published by Springer Nature. This book was released on 2022-05-31 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces core natural language processing (NLP) technologies to non-experts in an easily accessible way, as a series of building blocks that lead the user to understand key technologies, why they are required, and how to integrate them into Semantic Web applications. Natural language processing and Semantic Web technologies have different, but complementary roles in data management. Combining these two technologies enables structured and unstructured data to merge seamlessly. Semantic Web technologies aim to convert unstructured data to meaningful representations, which benefit enormously from the use of NLP technologies, thereby enabling applications such as connecting text to Linked Open Data, connecting texts to each other, semantic searching, information visualization, and modeling of user behavior in online networks. The first half of this book describes the basic NLP processing tools: tokenization, part-of-speech tagging, and morphological analysis, in addition to the main tools required for an information extraction system (named entity recognition and relation extraction) which build on these components. The second half of the book explains how Semantic Web and NLP technologies can enhance each other, for example via semantic annotation, ontology linking, and population. These chapters also discuss sentiment analysis, a key component in making sense of textual data, and the difficulties of performing NLP on social media, as well as some proposed solutions. The book finishes by investigating some applications of these tools, focusing on semantic search and visualization, modeling user behavior, and an outlook on the future.

Data Science for Fake News

Author : Deepak P
Publisher : Springer Nature
ISBN 13 : 3030626962
Total Pages : 302 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Data Science for Fake News by : Deepak P

Download or read book Data Science for Fake News written by Deepak P and published by Springer Nature. This book was released on 2021-04-29 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview of fake news detection, both through a variety of tutorial-style survey articles that capture advancements in the field from various facets and in a somewhat unique direction through expert perspectives from various disciplines. The approach is based on the idea that advancing the frontier on data science approaches for fake news is an interdisciplinary effort, and that perspectives from domain experts are crucial to shape the next generation of methods and tools. The fake news challenge cuts across a number of data science subfields such as graph analytics, mining of spatio-temporal data, information retrieval, natural language processing, computer vision and image processing, to name a few. This book will present a number of tutorial-style surveys that summarize a range of recent work in the field. In a unique feature, this book includes perspective notes from experts in disciplines such as linguistics, anthropology, medicine and politics that will help to shape the next generation of data science research in fake news. The main target groups of this book are academic and industrial researchers working in the area of data science, and with interests in devising and applying data science technologies for fake news detection. For young researchers such as PhD students, a review of data science work on fake news is provided, equipping them with enough know-how to start engaging in research within the area. For experienced researchers, the detailed descriptions of approaches will enable them to take seasoned choices in identifying promising directions for future research.

Entity-Oriented Search

Author : Krisztian Balog
Publisher : Springer
ISBN 13 : 3319939351
Total Pages : 358 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Entity-Oriented Search by : Krisztian Balog

Download or read book Entity-Oriented Search written by Krisztian Balog and published by Springer. This book was released on 2018-10-02 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book covers all facets of entity-oriented search—where “search” can be interpreted in the broadest sense of information access—from a unified point of view, and provides a coherent and comprehensive overview of the state of the art. It represents the first synthesis of research in this broad and rapidly developing area. Selected topics are discussed in-depth, the goal being to establish fundamental techniques and methods as a basis for future research and development. Additional topics are treated at a survey level only, containing numerous pointers to the relevant literature. A roadmap for future research, based on open issues and challenges identified along the way, rounds out the book. The book is divided into three main parts, sandwiched between introductory and concluding chapters. The first two chapters introduce readers to the basic concepts, provide an overview of entity-oriented search tasks, and present the various types and sources of data that will be used throughout the book. Part I deals with the core task of entity ranking: given a textual query, possibly enriched with additional elements or structural hints, return a ranked list of entities. This core task is examined in a number of different variants, using both structured and unstructured data collections, and numerous query formulations. In turn, Part II is devoted to the role of entities in bridging unstructured and structured data. Part III explores how entities can enable search engines to understand the concepts, meaning, and intent behind the query that the user enters into the search box, and how they can provide rich and focused responses (as opposed to merely a list of documents)—a process known as semantic search. The final chapter concludes the book by discussing the limitations of current approaches, and suggesting directions for future research. Researchers and graduate students are the primary target audience of this book. A general background in information retrieval is sufficient to follow the material, including an understanding of basic probability and statistics concepts as well as a basic knowledge of machine learning concepts and supervised learning algorithms.

Machine Learning Techniques for Online Social Networks

Author : Tansel Özyer
Publisher : Springer
ISBN 13 : 3319899325
Total Pages : 236 pages
Book Rating : 4.3/5 (198 download)

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Book Synopsis Machine Learning Techniques for Online Social Networks by : Tansel Özyer

Download or read book Machine Learning Techniques for Online Social Networks written by Tansel Özyer and published by Springer. This book was released on 2018-05-30 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book covers tools in the study of online social networks such as machine learning techniques, clustering, and deep learning. A variety of theoretical aspects, application domains, and case studies for analyzing social network data are covered. The aim is to provide new perspectives on utilizing machine learning and related scientific methods and techniques for social network analysis. Machine Learning Techniques for Online Social Networks will appeal to researchers and students in these fields.

A Geometric Approach to the Unification of Symbolic Structures and Neural Networks

Author : Tiansi Dong
Publisher : Springer Nature
ISBN 13 : 3030562751
Total Pages : 155 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis A Geometric Approach to the Unification of Symbolic Structures and Neural Networks by : Tiansi Dong

Download or read book A Geometric Approach to the Unification of Symbolic Structures and Neural Networks written by Tiansi Dong and published by Springer Nature. This book was released on 2020-08-24 with total page 155 pages. Available in PDF, EPUB and Kindle. Book excerpt: The unification of symbolist and connectionist models is a major trend in AI. The key is to keep the symbolic semantics unchanged. Unfortunately, present embedding approaches cannot. The approach in this book makes the unification possible. It is indeed a new and promising approach in AI. -Bo Zhang, Director of AI Institute, Tsinghua It is indeed wonderful to see the reviving of the important theme Nural Symbolic Model. Given the popularity and prevalence of deep learning, symbolic processing is often neglected or downplayed. This book confronts this old issue head on, with a historical look, incorporating recent advances and new perspectives, thus leading to promising new methods and approaches. -Ron Sun (RPI), on Governing Board of Cognitive Science Society Both for language and humor, approaches like those described in this book are the way to snickerdoodle wombats. -Christian F. Hempelmann (Texas A&M-Commerce) on Executive Board of International Society for Humor Studies

Information and Communication Technologies in Tourism 2016

Author : Alessandro Inversini
Publisher : Springer
ISBN 13 : 331928231X
Total Pages : 792 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Information and Communication Technologies in Tourism 2016 by : Alessandro Inversini

Download or read book Information and Communication Technologies in Tourism 2016 written by Alessandro Inversini and published by Springer. This book was released on 2016-01-22 with total page 792 pages. Available in PDF, EPUB and Kindle. Book excerpt: The papers presented in this volume advance the state-of-the-art research on digital marketing and social media, mobile computing and responsive web design, semantic technologies and recommender systems, augmented and virtual reality, electronic distribution and online travel reviews, MOOC and eLearning, eGovernment and sharing economy. This book covers the most significant areas contributed by prominent scholars from around the world and is suitable for both academics and practitioners who are interested in the latest developments in eTourism.

Argumentation Through Languages and Cultures

Author : Christian Plantin
Publisher : Springer Nature
ISBN 13 : 3031193210
Total Pages : 208 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Argumentation Through Languages and Cultures by : Christian Plantin

Download or read book Argumentation Through Languages and Cultures written by Christian Plantin and published by Springer Nature. This book was released on 2022-11-16 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines argumentative situations as they develop in different cultures and language groups. It considers the development of argumentation studies, making greater allowance for the specificities of argument as developed by “non-mainstream cultures”; the contribution of Jainism to the framework of philosophical disputation in India; duel songs as an institutionalized argumentative genre practiced by Ammassalik culture within the Inuit community; the application of the Muslim theological-legal reasoning system to evaluate two traditional, pre-Muslim traditional practices in Borneo; the annotation of schemes on the basis of Walton’s taxonomy of argument schemes and Wagemans’ Periodic Table of Arguments; methodology proposed for the reconstruction and analysis of “double-mode” arguments in advertisements, combining the instruments developed in social semiotics, pragmatics, and argumentation theory; and a review of the argumentation-theoretical literature on metaphor in argumentative discourse. This book is of interest to students and researchers in argumentation studies, rhetoric, philosophy, cultural studies and language studies. Previously published in Argumentation Volume 35, issue 1, March 2021 Chapters "Annotating Argument Schemes" and "The Study of Metaphor in Argumentation Theory" are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

International Handbook of Disaster Research

Author : Amita Singh
Publisher : Springer Nature
ISBN 13 : 9811983887
Total Pages : 2538 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis International Handbook of Disaster Research by : Amita Singh

Download or read book International Handbook of Disaster Research written by Amita Singh and published by Springer Nature. This book was released on 2023-09-30 with total page 2538 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook is a comprehensive source of information, analysis and directions in disaster studies. It goes beyond the oft-explored issues of management and science related to the topic and explores policies, governance, law and decision-making combined with the processes of implementation and enforcement, all the while integrating the latest science and technology updates related to the topic, such as artificial intelligence and early warning systems. It brings together studies which relate to sociology, politics and institutional economics, which work under the impact of resource availability, issues of leadership and international laws. Disasters are trans-boundary and disaster studies are trans-disciplinary. It is this aspect which would form the fulcrum of contributions and present a new, refreshing and innovative design for the handbook. The transformatory pedagogy which started with the Hyogo Framework for action 2005-2015 and The Sendai Framework for Disaster Risk Reduction 2015-2030 outlines seven clear targets and four priorities for action to prevent new and reduce existing disaster risks. The four priority areas around which the book would revolve are (i) Understanding disaster risk; (ii) Strengthening disaster risk governance to manage disaster risk; (iii) Investing in disaster reduction for resilience and; (iv) Enhancing disaster preparedness for effective response, and to "Build Back Better" in recovery, rehabilitation and reconstruction.

Heterogeneous Graph Representation Learning and Applications

Author : Chuan Shi
Publisher : Springer Nature
ISBN 13 : 9811661669
Total Pages : 329 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Heterogeneous Graph Representation Learning and Applications by : Chuan Shi

Download or read book Heterogeneous Graph Representation Learning and Applications written by Chuan Shi and published by Springer Nature. This book was released on 2022-01-30 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: Representation learning in heterogeneous graphs (HG) is intended to provide a meaningful vector representation for each node so as to facilitate downstream applications such as link prediction, personalized recommendation, node classification, etc. This task, however, is challenging not only because of the need to incorporate heterogeneous structural (graph) information consisting of multiple types of node and edge, but also the need to consider heterogeneous attributes or types of content (e.g. text or image) associated with each node. Although considerable advances have been made in homogeneous (and heterogeneous) graph embedding, attributed graph embedding and graph neural networks, few are capable of simultaneously and effectively taking into account heterogeneous structural (graph) information as well as the heterogeneous content information of each node. In this book, we provide a comprehensive survey of current developments in HG representation learning. More importantly, we present the state-of-the-art in this field, including theoretical models and real applications that have been showcased at the top conferences and journals, such as TKDE, KDD, WWW, IJCAI and AAAI. The book has two major objectives: (1) to provide researchers with an understanding of the fundamental issues and a good point of departure for working in this rapidly expanding field, and (2) to present the latest research on applying heterogeneous graphs to model real systems and learning structural features of interaction systems. To the best of our knowledge, it is the first book to summarize the latest developments and present cutting-edge research on heterogeneous graph representation learning. To gain the most from it, readers should have a basic grasp of computer science, data mining and machine learning.

Database and Expert Systems Applications

Author : Vladimir Marik
Publisher : Springer Science & Business Media
ISBN 13 : 3540408061
Total Pages : 963 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Database and Expert Systems Applications by : Vladimir Marik

Download or read book Database and Expert Systems Applications written by Vladimir Marik and published by Springer Science & Business Media. This book was released on 2003-08-21 with total page 963 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 14th International Conference on Database and Expert Systems Applcations, DEXA 2003, held in Prague, Czech Republic, in September 2003. The 91 revised full papers presented together with an invited paper and a position paper were carefully reviewed and selected from 236 submissions. The papers are organized in topical sections on XML, data modeling, spatial database systems, mobile computing, transactions, bioinformatics, information retrieval, multimedia databases, Web applications, ontologies, object-oriented databases, query optimization, workflow systems, knowledge engineering, and security.

Network Intelligence Meets User Centered Social Media Networks

Author : Reda Alhajj
Publisher : Springer
ISBN 13 : 3319903128
Total Pages : 247 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Network Intelligence Meets User Centered Social Media Networks by : Reda Alhajj

Download or read book Network Intelligence Meets User Centered Social Media Networks written by Reda Alhajj and published by Springer. This book was released on 2018-07-31 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume presents advances in modeling and computational analysis techniques related to networks and online communities. It contains the best papers of notable scientists from the 4th European Network Intelligence Conference (ENIC 2017) that have been peer reviewed and expanded into the present format. The aim of this text is to share knowledge and experience as well as to present recent advances in the field. The book is a nice mix of basic research topics such as data-based centrality measures along with intriguing applied topics, for example, interaction decay patterns in online social communities. This book will appeal to students, professors, and researchers working in the fields of data science, computational social science, and social network analysis.

Author :
Publisher : Springer Nature
ISBN 13 : 3031452569
Total Pages : 440 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis by :

Download or read book written by and published by Springer Nature. This book was released on with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)

Author : Sharvari Tamane
Publisher : Springer Nature
ISBN 13 : 9464631368
Total Pages : 1027 pages
Book Rating : 4.4/5 (646 download)

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Book Synopsis Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022) by : Sharvari Tamane

Download or read book Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022) written by Sharvari Tamane and published by Springer Nature. This book was released on 2023-05-01 with total page 1027 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an open access book. As on date, huge volumes of data are being generated through sensors, satellites, and simulators. Modern research on data analytics and its applications reveal that several algorithms are being designed and developed to process these datasets, either through the use of sequential and parallel processes. In the current scenario of Industry 4.0, data analytics, artificial intelligence and machine learning are being used to support decisions in space and time. Further, the availability of Graphical Processing Units (GPUs) and Tensor Processing Units (TPUs) have enabled to processing of these datasets. Some of the applications of Artificial Intelligence, Machine Learning and Data Analytics are in the domains of Agriculture, Climate Change, Disaster Prediction, Automation in Manufacturing, Intelligent Transportation Systems, Health Care, Retail, Stock Market, Fashion Design, etc. The international conference on Applications of Machine Intelligence and Data Analytics aims to bring together faculty members, researchers, scientists, and industry people on a common platform to exchange ideas, algorithms, knowledge based on processing hardware and their respective application programming interfaces (APIs).

Machine Learning and Deep Learning in Natural Language Processing

Author : Anitha S. Pillai
Publisher : CRC Press
ISBN 13 : 1000960897
Total Pages : 234 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Machine Learning and Deep Learning in Natural Language Processing by : Anitha S. Pillai

Download or read book Machine Learning and Deep Learning in Natural Language Processing written by Anitha S. Pillai and published by CRC Press. This book was released on 2023-10-18 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: Natural Language Processing (NLP) is a sub-field of Artificial Intelligence, linguistics, and computer science and is concerned with the generation, recognition, and understanding of human languages, both written and spoken. NLP systems examine the grammatical structure of sentences as well as the specific meanings of words, and then they utilize algorithms to extract meaning and produce results. Machine Learning and Deep Learning in Natural Language Processing aims at providing a review of current Neural Network techniques in the NLP field, in particular about Conversational Agents (chatbots), Text-to-Speech, management of non-literal content – like emotions, but also satirical expressions – and applications in the healthcare field. NLP has the potential to be a disruptive technology in various healthcare fields, but so far little attention has been devoted to that goal. This book aims at providing some examples of NLP techniques that can, for example, restore speech, detect Parkinson’s disease, or help psychotherapists. This book is intended for a wide audience. Beginners will find useful chapters providing a general introduction to NLP techniques, while experienced professionals will appreciate the chapters about advanced management of emotion, empathy, and non-literal content.

Cognitive Sociolinguistics Revisited

Author : Gitte Kristiansen
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110733978
Total Pages : 597 pages
Book Rating : 4.1/5 (17 download)

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Book Synopsis Cognitive Sociolinguistics Revisited by : Gitte Kristiansen

Download or read book Cognitive Sociolinguistics Revisited written by Gitte Kristiansen and published by Walter de Gruyter GmbH & Co KG. This book was released on 2021-11-22 with total page 597 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cognitive Sociolinguistics draws on the rich theoretical framework of Cognitive Linguistics and focuses on the social factors that underlie the variability of meaning and conceptualization. In the last decade, the field has expanded in various way. The current volume takes stock of current and emerging advances in the field in short academic contributions. The studies collected in this book have a usage-based approach to language variation and change, drawing on the theoretical framework of Cognitive Linguistics and are sensitive to social variation, be it cross-linguistic or language-internal. Three types of contributions are collected in this book. First, it contains theoretical overview papers on the domains that have witnessed expansion in recent years. Second, it presents novel research ideas in proof-of-concept contributions, aimed at blue-sky research and out-of-the-box linguistic analyses. Third, it showcases recent empirical studies within the field. By combining these three types of contributions, the book provides an encompassing overview of novel developments in the field of Cognitive Sociolinguistics.

Third International Congress on Information and Communication Technology

Author : Xin-She Yang
Publisher : Springer
ISBN 13 : 981131165X
Total Pages : 996 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Third International Congress on Information and Communication Technology by : Xin-She Yang

Download or read book Third International Congress on Information and Communication Technology written by Xin-She Yang and published by Springer. This book was released on 2018-09-28 with total page 996 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book includes selected high-quality research papers presented at the Third International Congress on Information and Communication Technology held at Brunel University, London on February 27–28, 2018. It discusses emerging topics pertaining to information and communication technology (ICT) for managerial applications, e-governance, e-agriculture, e-education and computing technologies, the Internet of Things (IOT), and e-mining. Written by experts and researchers working on ICT, the book is suitable for new researchers involved in advanced studies.

Web and Big Data

Author : Leong Hou U
Publisher : Springer
ISBN 13 : 3030012980
Total Pages : 394 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Web and Big Data by : Leong Hou U

Download or read book Web and Big Data written by Leong Hou U and published by Springer. This book was released on 2018-10-20 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the First APWeb-WAIM 2018 Workshops, held jointly with the Second International Joint Conference APWeb-WAIM 2018 in Macau, China, in July 2018. The 31 full papers presented were carefully reviewed and selected from 44 submissions. The papers originating from five workshops present cutting-edge ideas, results, experiences, techniques, and tools from all aspects of web data management with the focus on mobile web data analytics; knowledge graph management and analysis; data management and mining on MOOCs; Big data analytics for healthcare; data science.