A Librarian's Guide to Graphs, Data and the Semantic Web


Book Description

Graphs are about connections, and are an important part of our connected and data-driven world. A Librarian's Guide to Graphs, Data and the Semantic Web is geared toward library and information science professionals, including librarians, software developers and information systems architects who want to understand the fundamentals of graph theory, how it is used to represent and explore data, and how it relates to the semantic web. This title provides a firm grounding in the field at a level suitable for a broad audience, with an emphasis on open source solutions and what problems these tools solve at a conceptual level, with minimal emphasis on algorithms or mathematics. The text will also be of special interest to data science librarians and data professionals, since it introduces many graph theory concepts by exploring data-driven networks from various scientific disciplines. The first two chapters consider graphs in theory and the science of networks, before the following chapters cover networks in various disciplines. Remaining chapters move on to library networks, graph tools, graph analysis libraries, information problems and network solutions, and semantic graphs and the semantic web. - Provides an accessible introduction to network science that is suitable for a broad audience - Devotes several chapters to a survey of how graph theory has been used in a number of scientific data-driven disciplines - Explores how graph theory could aid library and information scientists




Life Cycle Analysis and Assessment in Civil Engineering: Towards an Integrated Vision


Book Description

This volume contains the papers presented at IALCCE2018, the Sixth International Symposium on Life-Cycle Civil Engineering (IALCCE2018), held in Ghent, Belgium, October 28-31, 2018. It consists of a book of extended abstracts and a USB device with full papers including the Fazlur R. Khan lecture, 8 keynote lectures, and 390 technical papers from all over the world. Contributions relate to design, inspection, assessment, maintenance or optimization in the framework of life-cycle analysis of civil engineering structures and infrastructure systems. Life-cycle aspects that are developed and discussed range from structural safety and durability to sustainability, serviceability, robustness and resilience. Applications relate to buildings, bridges and viaducts, highways and runways, tunnels and underground structures, off-shore and marine structures, dams and hydraulic structures, prefabricated design, infrastructure systems, etc. During the IALCCE2018 conference a particular focus is put on the cross-fertilization between different sub-areas of expertise and the development of an overall vision for life-cycle analysis in civil engineering. The aim of the editors is to provide a valuable source of cutting edge information for anyone interested in life-cycle analysis and assessment in civil engineering, including researchers, practising engineers, consultants, contractors, decision makers and representatives from local authorities.




Geographical Information Systems Theory, Applications and Management


Book Description

This book constitutes extended, revised and selected contributions from the Second International Conference on Geographical Information Systems Theory, Applications and Management, GISTAM 2016, held in Rome, Italy, in April 2016. The 10 papers presented in this volume were carefully reviewed and selected from a total of 33 submissions. They contribute to the understanding of relevant trends of current research on the topic, including urban and regional planning; water information systems; geospatial information and technologies; spatio-temporal database management; decision support systems; energy information systems; GPS, and location detection.




Digital Libraries: Supporting Open Science


Book Description

This book constitutes the thoroughly refereed proceedings of the 15th Italian Research Conference on Digital Libraries, IRCDL 2019, held in Pisa, Italy, in January/February 2019. The 22 full papers and 5 short papers presented were carefully selected from 42 submissions. The papers are organized in topical sections on information retrieval, digital libraries and archives, information integration, open science, and data mining.




Artificial Intelligence Applications and Innovations


Book Description

This two-volume set of IFIP-AICT 675 and 676 constitutes the refereed proceedings of the 19th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2023, held in León, Spain, during June 14–17, 2023. This event was held in hybrid mode. The 75 regular papers and 17 short papers presented in this two-volume set were carefully reviewed and selected from 185 submissions. The papers cover the following topics: Deep Learning (Reinforcement/Recurrent Gradient Boosting/Adversarial); Agents/Case Based Reasoning/Sentiment Analysis; Biomedical - Image Analysis; CNN - Convolutional Neural Networks YOLO CNN; Cyber Security/Anomaly Detection; Explainable AI/Social Impact of AI; Graph Neural Networks/Constraint Programming; IoT/Fuzzy Modeling/Augmented Reality; LEARNING (Active-AutoEncoders-Federated); Machine Learning; Natural Language; Optimization-Genetic Programming; Robotics; Spiking NN; and Text Mining /Transfer Learning.




Knowledge Management


Book Description

While librarians and information professional are experts at providing resources to users, managing their own internal working knowledge and information can be a challenge. As information environments continue to become more complex, librarians and other information professionals must build on the existing expertise and skills within their organizations to keep them relevant to the information needs of their patrons and communities. Knowledge management (KM) is an intentional set of strategies intended to capture, preserve, and use human knowledge from employees to further the goals of an organization. Knowledge Management: A Practical Guide for Librarians will help librarians recognize, organize, communicate, and leverage both the tacit and explicit knowledge already in their organizations for the benefit of themselves and their users. Topics covered include: Why knowledge management is important in libraries and information organizations The knowledge management lifecycle: capturing, organizing, storing, sharing, and updating knowledge Capturing tacit and explicit knowledge and getting staff buy-in Tools and methods for recording and developing organizational information flow Facilitating the transfer of organizational knowledge and expertise Promoting knowledge innovation and learning Knowledge Management is intended to help individual librarians and library managers in all library settings (academic, public, school, special, etc.) to think critically about their existing knowledge management environments with an eye toward improving existing procedures or implementing a KM program. This guide will provide readers with basic background information and useful, targeted exercises and examples to help them develop knowledge management programs in their own organizations.







Knowledge Graphs and Semantic Web


Book Description

This book constitutes the thoroughly refereed proceedings of the First Iberoamerican Conference, KGSWC 2019, held in Villa Clara, Cuba, in June 2019. The 14 full papers and 1 short paper presented were carefully reviewed and selected from 33 submissions. The papers cover wide research fields including artificial intelligence; knowledge representation and reasoning; ontology engineering; natural language processing; description logics; information systems; query languages; world wide web; semantic web description languages; and information retrieval.




Knowledge Graphs


Book Description

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.




Mining Graph Data


Book Description

This text takes a focused and comprehensive look at mining data represented as a graph, with the latest findings and applications in both theory and practice provided. Even if you have minimal background in analyzing graph data, with this book you’ll be able to represent data as graphs, extract patterns and concepts from the data, and apply the methodologies presented in the text to real datasets. There is a misprint with the link to the accompanying Web page for this book. For those readers who would like to experiment with the techniques found in this book or test their own ideas on graph data, the Web page for the book should be http://www.eecs.wsu.edu/MGD.