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The general objective of the thesis is to provide domain independent, and resource independent methods and tools for speeding up the ontology development process and is achieved by reusing and re-engineering as much as possible available non-ontological resources (NORs). To fulfil this overall goal, we have decomposed it into the following methodological and technological objectives: - The definition of methodological aspects related to the reuse of non-ontological resources for building ontologies. - The definition of methodological aspects related to the re-engineering of non-ontological resources for building ontologies. - The creation of a library of patterns for re-engineering non-ontological resources into ontologies. - The development of a software library, NOR2O, that implements the suggestions given by the re-engineering patterns.
The complex information systems which have evolved in recent decades rely on robust and coherent representations in order to function. Such representations and associated reasoning techniques constitute the modern discipline of formal ontology, which is now applied to fields such as artificial intelligence, computational linguistics, bioinformatics, GIS, conceptual modeling, knowledge engineering, information retrieval, and the semantic web. Ontologies are increasingly employed in a number of complex real-world application domains. For instance, in biology and medicine, more and more principle-based ontologies are being developed for the description of biological and biomedical phenomena. To...
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...
This book includes revised selected papers from five International Workshops on Artificial Intelligence Approaches to the Complexity of Legal Systems, AICOL VI to AICOL X, held during 2015-2017: AICOL VI in Braga, Portugal, in December 2015 as part of JURIX 2015; AICOL VII at EKAW 2016 in Bologna, Italy, in November 2016; AICOL VIII in Sophia Antipolis, France, in December 2016; AICOL IX at ICAIL 2017 in London, UK, in June 2017; and AICOL X as part of JURIX 2017 in Luxembourg, in December 2017. The 37 revised full papers included in this volume were carefully reviewed and selected form 69 submissions. They represent a comprehensive picture of the state of the art in legal informatics. The papers are organized in six main sections: legal philosophy, conceptual analysis, and epistemic approaches; rules and norms analysis and representation;legal vocabularies and natural language processing; legal ontologies and semantic annotation; legal argumentation; and courts, adjudication and dispute resolution.
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.
Persistent unemployment and rising wage differences at the expense of low-skilled workers has characterized the labor market in most developed countries. Since the last economic crisis, unemployment rates and pay inequalities have increased among workers under 25 years of age, thus creating an ever-widening financial gap for an entire generation. Those who do not have a qualification or post-secondary diploma often find themselves in precarious jobs at minimum wage. Countries are now working to adopt reforms to improve the situation of young people in the labor market. International Perspectives on the Youth Labor Market: Emerging Research and Opportunities provides emerging research explori...
Due to more individuals retiring at a later age, today’s workforce consists of five generations of workers with various educational backgrounds, ages, experience levels, and skills. Managers and business owners are now faced with the challenge of providing a work space that encourages the new ideals of millennials while also balancing the needs and desires of older employees. As such, new methods and strategies of working and managing efficiency in the workplace need to be explored. Five Generations and Only One Workforce: How Successful Businesses Are Managing a Multigenerational Workforce examines pivotal issues surrounding generational differences and management in the workplace including challenges in employee engagement, project management, and training. Highlighting a range of topics such as generation gap, workforce diversity, and senior workers, this publication is an ideal reference source for business practitioners, managers, executives, professionals, human resources managers, and researchers who are seeking more information on managing a multigenerational workforce.
Oil and gas companies are continually upgrading drilling and production facilities in response to safety, regulatory, and technology advances, causing the amount of data that an operator must interpret in order to optimize a facilitys production to increase exponentially. Trained employees are at premium demand in the field, and companies are willing to pay for skills. However, there are too many skill-specific positions available and too many untrained applicants, and companies within this industry lack the recruiting, training, and experience necessary to train them. Workforce Education at Oil and Gas Companies in the Permian Basin: Emerging Research and Opportunities is an essential sch...
Vocational skill development (VSD) has the capacity to contribute to poverty reduction because it serves as the key to job creation and inclusive growth. As developed nations have been faced with high youth and graduate unemployment rates, basic education and vocational skill development have become a priority of development cooperation activities. However, there is a realization that measures to improve skill training can only be successful if they are in harmony with employment and economic policies. Socio-Economic Perspectives on Vocational Skill Development: Emerging Research and Opportunities is a collection of innovative research on the methods and applications of equipping individuals with relevant work skills and implementing effective skills systems that can lead to economic growth and high levels of productivity. While highlighting topics including human capital, professional development, and skill gaps, this book is ideally designed for managers, business professionals, policymakers, academicians, researchers, and management students seeking the current understanding of the strategic role of skill development at different levels of the socio-economic system.
In the highly competitive business environment of today, organizations are continually making attempts to stay one step ahead of their competitors by implementing various stratagems to improve their employees competencies and capabilities, as human resources are one of their most important assets. By investing in employees career development through training, coaching, mentoring, and counseling, the employee will undoubtedly become much more effective. Workforce Coaching, Mentoring, and Counseling: Emerging Research and Opportunities elucidates, examines, and explores theories, practices, and research-based human resource development (HRD) strategies that have proven to be effective in enhancing various aspects relating to the performance of individual employees and the organization as a whole. Featuring research on topics such as adult learning, management science, and work-life balance, this book is ideally designed for practitioners, educators, managers, and researchers.