Exploiting Linked Data And Knowledge Graphs In Large Organisations

Author : Jeff Z. Pan,Guido Vetere,Jose Manuel Gomez-Perez,Honghan Wu
Publisher : Springer
Page : 281 pages
File Size : 54,8 Mb
Release : 2017-01-24
Category : Computers
ISBN : 9783319456546

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Exploiting Linked Data and Knowledge Graphs in Large Organisations by Jeff Z. Pan,Guido Vetere,Jose Manuel Gomez-Perez,Honghan Wu Pdf

This book addresses the topic of exploiting enterprise-linked data with a particular focus on knowledge construction and accessibility within enterprises. It identifies the gaps between the requirements of enterprise knowledge consumption and “standard” data consuming technologies by analysing real-world use cases, and proposes the enterprise knowledge graph to fill such gaps. It provides concrete guidelines for effectively deploying linked-data graphs within and across business organizations. It is divided into three parts, focusing on the key technologies for constructing, understanding and employing knowledge graphs. Part 1 introduces basic background information and technologies, and presents a simple architecture to elucidate the main phases and tasks required during the lifecycle of knowledge graphs. Part 2 focuses on technical aspects; it starts with state-of-the art knowledge-graph construction approaches, and then discusses exploration and exploitation techniques as well as advanced question-answering topics concerning knowledge graphs. Lastly, Part 3 demonstrates examples of successful knowledge graph applications in the media industry, healthcare and cultural heritage, and offers conclusions and future visions.

Author : Dieter Fensel,Umutcan Şimşek,Kevin Angele,Elwin Huaman,Elias Kärle,Oleksandra Panasiuk,Ioan Toma,Jürgen Umbrich,Alexander Wahler
Publisher : Springer Nature
Page : 148 pages
File Size : 41,9 Mb
Release : 2020-01-31
Category : Computers
ISBN : 9783030374396

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Knowledge Graphs by Dieter Fensel,Umutcan Şimşek,Kevin Angele,Elwin Huaman,Elias Kärle,Oleksandra Panasiuk,Ioan Toma,Jürgen Umbrich,Alexander Wahler Pdf

This book describes methods and tools that empower information providers to build and maintain knowledge graphs, including those for manual, semi-automatic, and automatic construction; implementation; and validation and verification of semantic annotations and their integration into knowledge graphs. It also presents lifecycle-based approaches for semi-automatic and automatic curation of these graphs, such as approaches for assessment, error correction, and enrichment of knowledge graphs with other static and dynamic resources. Chapter 1 defines knowledge graphs, focusing on the impact of various approaches rather than mathematical precision. Chapter 2 details how knowledge graphs are built, implemented, maintained, and deployed. Chapter 3 then introduces relevant application layers that can be built on top of such knowledge graphs, and explains how inference can be used to define views on such graphs, making it a useful resource for open and service-oriented dialog systems. Chapter 4 discusses applications of knowledge graph technologies for e-tourism and use cases for other verticals. Lastly, Chapter 5 provides a summary and sketches directions for future work. The additional appendix introduces an abstract syntax and semantics for domain specifications that are used to adapt schema.org to specific domains and tasks. To illustrate the practical use of the approaches presented, the book discusses several pilots with a focus on conversational interfaces, describing how to exploit knowledge graphs for e-marketing and e-commerce. It is intended for advanced professionals and researchers requiring a brief introduction to knowledge graphs and their implementation.

Author : I. Tiddi,F. Lécué,P. Hitzler
Publisher : IOS Press
Page : 314 pages
File Size : 45,5 Mb
Release : 2020-05-06
Category : Computers
ISBN : 9781643680811

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Knowledge Graphs for eXplainable Artificial Intelligence: Foundations, Applications and Challenges by I. Tiddi,F. Lécué,P. Hitzler Pdf

The latest advances in Artificial Intelligence and (deep) Machine Learning in particular revealed a major drawback of modern intelligent systems, namely the inability to explain their decisions in a way that humans can easily understand. While eXplainable AI rapidly became an active area of research in response to this need for improved understandability and trustworthiness, the field of Knowledge Representation and Reasoning (KRR) has on the other hand a long-standing tradition in managing information in a symbolic, human-understandable form. This book provides the first comprehensive collection of research contributions on the role of knowledge graphs for eXplainable AI (KG4XAI), and the papers included here present academic and industrial research focused on the theory, methods and implementations of AI systems that use structured knowledge to generate reliable explanations. Introductory material on knowledge graphs is included for those readers with only a minimal background in the field, as well as specific chapters devoted to advanced methods, applications and case-studies that use knowledge graphs as a part of knowledge-based, explainable systems (KBX-systems). The final chapters explore current challenges and future research directions in the area of knowledge graphs for eXplainable AI. The book not only provides a scholarly, state-of-the-art overview of research in this subject area, but also fosters the hybrid combination of symbolic and subsymbolic AI methods, and will be of interest to all those working in the field.

Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 47,5 Mb
Release : 2019
Category : Electronic
ISBN : 3898387429

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Exploiting Semantic Web Knowledge Graphs in Data Mining by Anonim Pdf

Author : Mayank Kejriwal,Craig A. Knoblock,Pedro Szekely
Publisher : MIT Press
Page : 559 pages
File Size : 54,6 Mb
Release : 2021-03-30
Category : Computers
ISBN : 9780262361880

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Knowledge Graphs by Mayank Kejriwal,Craig A. Knoblock,Pedro Szekely Pdf

A rigorous and comprehensive textbook covering the major approaches to knowledge graphs, an active and interdisciplinary area within artificial intelligence. The field of knowledge graphs, which allows us to model, process, and derive insights from complex real-world data, has emerged as an active and interdisciplinary area of artificial intelligence over the last decade, drawing on such fields as natural language processing, data mining, and the semantic web. Current projects involve predicting cyberattacks, recommending products, and even gleaning insights from thousands of papers on COVID-19. This textbook offers rigorous and comprehensive coverage of the field. It focuses systematically on the major approaches, both those that have stood the test of time and the latest deep learning methods.

Author : Maria Papadaki
Publisher : Springer Nature
Page : 317 pages
File Size : 46,7 Mb
Release : 2024-06-26
Category : Electronic
ISBN : 9783031564789

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Information Systems by Maria Papadaki Pdf

Author : Zheng Xiang,Matthias Fuchs,Ulrike Gretzel,Wolfram Höpken
Publisher : Springer Nature
Page : 1976 pages
File Size : 42,9 Mb
Release : 2022-09-01
Category : Business & Economics
ISBN : 9783030486525

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Handbook of e-Tourism by Zheng Xiang,Matthias Fuchs,Ulrike Gretzel,Wolfram Höpken Pdf

This handbook provides an authoritative and truly comprehensive overview both of the diverse applications of information and communication technologies (ICTs) within the travel and tourism industry and of e-tourism as a field of scientific inquiry that has grown and matured beyond recognition. Leading experts from around the world describe cutting-edge ideas and developments, present key concepts and theories, and discuss the full range of research methods. The coverage accordingly encompasses everything from big data and analytics to psychology, user behavior, online marketing, supply chain and operations management, smart business networks, policy and regulatory issues – and much, much more. The goal is to provide an outstanding reference that summarizes and synthesizes current knowledge and establishes the theoretical and methodological foundations for further study of the role of ICTs in travel and tourism. The handbook will meet the needs of researchers and students in various disciplines as well as industry professionals. As with all volumes in Springer’s Major Reference Works program, readers will benefit from access to a continually updated online version.

Author : Fernando Ortiz-Rodriguez,Boris Villazón-Terrazas,Sanju Tiwari,Carlos Bobed
Publisher : Springer Nature
Page : 303 pages
File Size : 40,5 Mb
Release : 2023-12-01
Category : Computers
ISBN : 9783031477454

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Knowledge Graphs and Semantic Web by Fernando Ortiz-Rodriguez,Boris Villazón-Terrazas,Sanju Tiwari,Carlos Bobed Pdf

This book constitutes the refereed proceedings of the 5th Iberoamerican Conference and 4th Indo-American Conference on Knowledge Graphs and Semantic Web, KGSWC 2023, held jointly in Zaragoza, Spain, during November 13–15, 2023. The 18 full and 2 short papers presented were carefully reviewed and selected from 50 submissions. They focus on the following topics: knowledge representation; natural language processing/text mining; and machine/deep learning research.

Author : Vishal Jain,Jyotir Moy Chatterjee,Ankita Bansal,Abha Jain
Publisher : John Wiley & Sons
Page : 356 pages
File Size : 40,8 Mb
Release : 2021-12-09
Category : Computers
ISBN : 9781119762294

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Semantic Web for Effective Healthcare Systems by Vishal Jain,Jyotir Moy Chatterjee,Ankita Bansal,Abha Jain Pdf

SEMANTIC WEB FOR EFFECTIVE HEALTHCARE SYSTEMS The book summarizes the trends and current research advances in web semantics, delineating the existing tools, techniques, methodologies, and research solutions Semantic Web technologies have the opportunity to transform the way healthcare providers utilize technology to gain insights and knowledge from their data and make treatment decisions. Both Big Data and Semantic Web technologies can complement each other to address the challenges and add intelligence to healthcare management systems. The aim of this book is to analyze the current status on how the semantic web is used to solve health data integration and interoperability problems, and how it provides advanced data linking capabilities that can improve search and retrieval of medical data. Chapters analyze the tools and approaches to semantic health data analysis and knowledge discovery. The book discusses the role of semantic technologies in extracting and transforming healthcare data before storing it in repositories. It also discusses different approaches for integrating heterogeneous healthcare data. This innovative book offers: The first of its kind and highlights only the ontology driven information retrieval mechanisms and techniques being applied to healthcare as well as clinical information systems; Presents a comprehensive examination of the emerging research in areas of the semantic web; Discusses studies on new research areas including ontological engineering, semantic annotation and semantic sentiment analysis; Helps readers understand key concepts in semantic web applications for the biomedical engineering and healthcare fields; Includes coverage of key application areas of the semantic web. Audience: Researchers and graduate students in computer science, biomedical engineering, electronic and software engineering, as well as industry scientific researchers, clinicians, and systems managers in biomedical fields.

Author : Aidan Hogan,Eva Blomqvist,Michael Cochez,Claudia d’Amato,Gerard de Melo,Claudio Gutierrez,Sabrina Kirrane,Jose Emilio Labra Gayo,Roberto Navigli,Sebastian Neumaier,Axel-Cyrille Ngonga Ngomo,Axel Polleres,Sabbir M. Rashid,Anisa Rula,Juan Sequeda,Lukas Schmelzeisen,Steffen Staab,Antoine Zimmermann
Publisher : Morgan & Claypool Publishers
Page : 257 pages
File Size : 52,9 Mb
Release : 2021-11-08
Category : Computers
ISBN : 9781636392363

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Knowledge Graphs by Aidan Hogan,Eva Blomqvist,Michael Cochez,Claudia d’Amato,Gerard de Melo,Claudio Gutierrez,Sabrina Kirrane,Jose Emilio Labra Gayo,Roberto Navigli,Sebastian Neumaier,Axel-Cyrille Ngonga Ngomo,Axel Polleres,Sabbir M. Rashid,Anisa Rula,Juan Sequeda,Lukas Schmelzeisen,Steffen Staab,Antoine Zimmermann Pdf

This book provides a comprehensive and accessible introduction to knowledge graphs, which have recently garnered notable attention from both industry and academia. Knowledge graphs are founded on the principle of applying a graph-based abstraction to data, and are now broadly deployed in scenarios that require integrating and extracting value from multiple, diverse sources of data at large scale. The book defines knowledge graphs and provides a high-level overview of how they are used. It presents and contrasts popular graph models that are commonly used to represent data as graphs, and the languages by which they can be queried before describing how the resulting data graph can be enhanced with notions of schema, identity, and context. The book discusses how ontologies and rules can be used to encode knowledge as well as how inductive techniques—based on statistics, graph analytics, machine learning, etc.—can be used to encode and extract knowledge. It covers techniques for the creation, enrichment, assessment, and refinement of knowledge graphs and surveys recent open and enterprise knowledge graphs and the industries or applications within which they have been most widely adopted. The book closes by discussing the current limitations and future directions along which knowledge graphs are likely to evolve. This book is aimed at students, researchers, and practitioners who wish to learn more about knowledge graphs and how they facilitate extracting value from diverse data at large scale. To make the book accessible for newcomers, running examples and graphical notation are used throughout. Formal definitions and extensive references are also provided for those who opt to delve more deeply into specific topics.

Author : Sanju Tiwari,Fernando Ortiz Rodriguez,Sarra Ben Abbes,Patience Usoro Usip,Rim Hantach
Publisher : CRC Press
Page : 230 pages
File Size : 50,8 Mb
Release : 2023-08-21
Category : Computers
ISBN : 9781000911220

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Semantic AI in Knowledge Graphs by Sanju Tiwari,Fernando Ortiz Rodriguez,Sarra Ben Abbes,Patience Usoro Usip,Rim Hantach Pdf

Recent combinations of semantic technology and artificial intelligence (AI) present new techniques to build intelligent systems that identify more precise results. Semantic AI in Knowledge Graphs locates itself at the forefront of this novel development, uncovering the role of machine learning to extend the knowledge graphs by graph mapping or corpus-based ontology learning. Securing efficient results via the combination of symbolic AI and statistical AI such as entity extraction based on machine learning, text mining methods, semantic knowledge graphs, and related reasoning power, this book is the first of its kind to explore semantic AI and knowledge graphs. A range of topics are covered, from neuro-symbolic AI, explainable AI and deep learning to knowledge discovery and mining, and knowledge representation and reasoning. A trailblazing exploration of semantic AI in knowledge graphs, this book is a significant contribution to both researchers in the field of AI and data mining as well as beginner academicians.

Author : Jeff Z. Pan,Diego Calvanese,Thomas Eiter,Ian Horrocks,Michael Kifer,Fangzhen Lin,Yuting Zhao
Publisher : Springer
Page : 271 pages
File Size : 46,9 Mb
Release : 2017-02-28
Category : Computers
ISBN : 9783319494937

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Reasoning Web: Logical Foundation of Knowledge Graph Construction and Query Answering by Jeff Z. Pan,Diego Calvanese,Thomas Eiter,Ian Horrocks,Michael Kifer,Fangzhen Lin,Yuting Zhao Pdf

This volume contains some lecture notes of the 12th Reasoning Web Summer School (RW 2016), held in Aberdeen, UK, in September 2016. In 2016, the theme of the school was “Logical Foundation of Knowledge Graph Construction and Query Answering”. The notion of knowledge graph has become popular since Google started to use it to improve its search engine in 2012. Inspired by the success of Google, knowledge graphs are gaining momentum in the World Wide Web arena. Recent years have witnessed increasing industrial take-ups by other Internet giants, including Facebook's Open Graph and Microsoft's Satori. The aim of the lecture note is to provide a logical foundation for constructing and querying knowledge graphs. Our journey starts from the introduction of Knowledge Graph as well as its history, and the construction of knowledge graphs by considering both explicit and implicit author intentions. The book will then cover various topics, including how to revise and reuse ontologies (schema of knowledge graphs) in a safe way, how to combine navigational queries with basic pattern matching queries for knowledge graph, how to setup a environment to do experiments on knowledge graphs, how to deal with inconsistencies and fuzziness in ontologies and knowledge graphs, and how to combine machine learning and machine reasoning for knowledge graphs.

Author : Maosong Sun,Guilin Qi,Kang Liu,Jiadong Ren,Bin Xu,Yansong Feng,Yongbin Liu,Yubo Chen
Publisher : Springer Nature
Page : 229 pages
File Size : 50,6 Mb
Release : 2022-11-18
Category : Computers
ISBN : 9789811975967

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Knowledge Graph and Semantic Computing: Knowledge Graph Empowers the Digital Economy by Maosong Sun,Guilin Qi,Kang Liu,Jiadong Ren,Bin Xu,Yansong Feng,Yongbin Liu,Yubo Chen Pdf

This book constitutes the refereed proceedings of the 7th China Conference on Knowledge Graph and Semantic Computing: Knowledge Graph Empowers the Digital Economy, CCKS 2022, in Qinhuangdao, China, August 24–27, 2022. The 15 full papers and 2 short papers included in this book were carefully reviewed and selected from 100 submissions. They were organized in topical sections as follows: knowledge representation and reasoning; knowledge acquisition and knowledge base construction; linked data, knowledge integration, and knowledge graph storage managements; natural language understanding and semantic computing; knowledge graph applications; and knowledge graph open resources.

Author : Aidan Hogan,Eva Blomqvist,Michael Cochez,Claudia d’Amato,Gerard de Melo,Claudio Gutierrez,Sabrina Kirrane,Jose Emilio Labra Gayo,Roberto Navigli,Sebastian Neumaier,Axel Polleres,Sabbir Rashid,Anisa Rula,Antoine Zimmermann,Lukas Schmelzeisen,Axel-Cyrille Ngonga Ngomo,Juan Sequeda,Steffen Staab
Publisher : Springer Nature
Page : 247 pages
File Size : 54,7 Mb
Release : 2022-06-01
Category : Computers
ISBN : 9783031019180

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Knowledge Graphs by Aidan Hogan,Eva Blomqvist,Michael Cochez,Claudia d’Amato,Gerard de Melo,Claudio Gutierrez,Sabrina Kirrane,Jose Emilio Labra Gayo,Roberto Navigli,Sebastian Neumaier,Axel Polleres,Sabbir Rashid,Anisa Rula,Antoine Zimmermann,Lukas Schmelzeisen,Axel-Cyrille Ngonga Ngomo,Juan Sequeda,Steffen Staab Pdf

This book provides a comprehensive and accessible introduction to knowledge graphs, which have recently garnered notable attention from both industry and academia. Knowledge graphs are founded on the principle of applying a graph-based abstraction to data, and are now broadly deployed in scenarios that require integrating and extracting value from multiple, diverse sources of data at large scale. The book defines knowledge graphs and provides a high-level overview of how they are used. It presents and contrasts popular graph models that are commonly used to represent data as graphs, and the languages by which they can be queried before describing how the resulting data graph can be enhanced with notions of schema, identity, and context. The book discusses how ontologies and rules can be used to encode knowledge as well as how inductive techniques—based on statistics, graph analytics, machine learning, etc.—can be used to encode and extract knowledge. It covers techniques for the creation, enrichment, assessment, and refinement of knowledge graphs and surveys recent open and enterprise knowledge graphs and the industries or applications within which they have been most widely adopted. The book closes by discussing the current limitations and future directions along which knowledge graphs are likely to evolve. This book is aimed at students, researchers, and practitioners who wish to learn more about knowledge graphs and how they facilitate extracting value from diverse data at large scale. To make the book accessible for newcomers, running examples and graphical notation are used throughout. Formal definitions and extensive references are also provided for those who opt to delve more deeply into specific topics.

Author : Archana Patel,Narayan C. Debnath
Publisher : CRC Press
Page : 234 pages
File Size : 43,9 Mb
Release : 2023-06-20
Category : Computers
ISBN : 9781000881295

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Data Science with Semantic Technologies by Archana Patel,Narayan C. Debnath Pdf

Gone are the days when data was interlinked with related data by humans and human interpretation was required. Data is no longer just data. It is now considered a Thing or Entity or Concept with meaning, so that a machine not only understands the concept but also extrapolates the way humans do. Data Science with Semantic Technologies: Deployment and Exploration, the second volume of a two-volume handbook set, provides a roadmap for the deployment of semantic technologies in the field of data science and enables the user to create intelligence through these technologies by exploring the opportunities and eradicating the challenges in the current and future time frame. In addition, this book offers the answer to various questions like: What makes a technology semantic as opposed to other approaches to data science? What is knowledge data science? How does knowledge data science relate to other fields? This book explores the optimal use of these technologies to provide the highest benefit to the user under one comprehensive source and title. As there is no dedicated book available in the market on this topic at this time, this book becomes a unique resource for scholars, researchers, data scientists, professionals, and practitioners. This volume can serve as an important guide toward applications of data science with semantic technologies for the upcoming generation.