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New Trends in Databases and Information Systems ; ADBIS 2020 Short Papers, Lyon, France, August 25–27, 2020, Proceedings
This book constitutes thoroughly refereed short papers of the 24th European Conference on Advances in Databases and Information Systems, ADBIS 2020, held in August 2020. ADBIS 2020 was to be held in Lyon, France, however due to COVID-19 pandemic the conference was held in online format. The 18 presented short research papers were carefully reviewed and selected from 69 submissions. The papers are organized in the following sections: data access and database performance; machine learning; data processing; semantic web; data analytics.
Natural Language Processing and Information Systems ; Vol. 3999 ; 11th International Conference on Applications of Natural Language to Information Systems, NLDB 2006, Klagenfurt, Austria, May 31 - June 2, 2006, Proceedings
This book constitutes the refereed proceedings of the 11th International Conference on Applications of Natural Language to Information Systems, NLDB 2006, held in Klagenfurt, Austria in May/June 2006 as part of UNISCON 2006. The book presents 17 revised full papers and 5 revised short papers, organized in topical sections on concepts extraction and ontology, ontologies and task repository utilization, query processing, information retrieval and dialog processing, and NLP techniques.
Natural language processing and information systems ; 12th International Conference on Applications of Natural Language to Information Systems, NLDB 2007, Paris, France, June 27-29, 2007, Proceedings
NLP techniques may substantially enhance most phases of the information system lifecycle, starting with requirement analysis, specification and validation, and going up to conflict resolution, result processing and presentation.
Modeling decisions : Information fusion and aggregation operators
This book covers the underlying science and application issues related to aggregation operators, focusing on tools used in practical applications that involve numerical information. Starting with detailed introductions to information fusion and integration, measurement and probability theory, fuzzy sets, and functional equations.
Modeling and Using Context ; 5th International and Interdisciplinary Conference, CONTEXT 2005, Paris, France, July 5-8, 2005, Proceedings
Context is of crucial importance for research and applications in many disciplines, as evidenced by many workshops, symposia, seminars, and conferences on specific aspects of context. The International and Interdisciplinary Conference on Modeling and Using Context (CONTEXT), the oldest conference series focusing on context, provides a unique interdisciplinary emphasis, bringing together participants from a wide range of disciplines, including artificial intelligence, cognitive science, computer science, linguistics, organizational science, philosophy, psychology, ubiquitous computing, and application areas such as medicine and law, to discuss and report on context-related research and projects. Previous CONTEXT conferences were held in Rio de Janeiro, Brazil (1997), Trento, Italy (1999, LNCS 1688), Dundee, UK (2001, LNCS 2116), and Palo Alto, USA (2003, LNCS 2680). CONTEXT 2005 was held in Paris, France during July 5–8, 2005. There was a strong response to the CONTEXT 2005 Call for Papers, with 120 submissions received. A careful review process assessed all submissions, with each paper first reviewed by the international Program Committee, and then reviewer discussions were initiated as needed to assure that the final decisions carefully considered all aspects of each paper. Reviews of submissions by the Program Chairs were supervised independently and anonymously, to assure fair consideration of all work. Out of the 120 submissions, 23 were selected as full papers for oral presentation, and 20 were selected as full papers for poster presentation. These outstanding papers are presented in this proceedings.
MICAI 2008 : Advances in Artificial Intelligence ;7th Mexican International Conference on Artificial Intelligence, Atizapán de Zaragoza, Mexico, October 27-31, 2008 Proceedings
The 96 revised full papers presented together with 2 invited lectures were carefully reviewed and selected from 363 submissions. The papers are organized in topical sections on logic and reasoning, knowledge-based systems, knowledge representation and acquisition, ontologies, natural language processing, machine learning, pattern recognition, data mining, neural networks, genetic algorithms, hybrid intelligent systems, computer vision and image processing, robotics, planning and scheduling, uncertainty and probabilistic reasoning, fuzzy logic, intelligent tutoring systems, multi-agent systems and distributed ai, intelligent organizations, bioinformatics and medical applications, as well as applications.
MDATA : A New Knowledge Representation Model: Theory, Methods and Applications
This book introduces a new knowledge representation model called MDATA (Multi-dimensional Data Association and inTelligent Analysis). By modifying the representation of entities and relations in knowledge graphs, dynamic knowledge can be efficiently described with temporal and spatial characteristics. The MDATA model can be regarded as a high-level temporal and spatial knowledge graph model, which has strong capabilities for knowledge representation. This book introduces some key technologies in the MDATA model, such as entity recognition, relation extraction, entity alignment, and knowledge reasoning with spatiotemporal factors. The MDATA model can be applied in many critical applications and this book introduces some typical examples, such as network attack detection, social network analysis, and epidemic assessment.
Interval / Probabilistic Uncertainty and Non-Classical Logics
Contains proceedings of the first international workshop that brought together researchers working on interval and probabilistic uncertainty and on non-classical logics. We hope that this workshop will lead to a boost in the much-needed collaboration between the uncertainty analysis and non-classical logic communities, and thus, to better processing of uncertainty.
Intelligent Interactive Systems in Knowledge-Based Environments
The main aim of this research book is to report a sample of the most recent advances in the field of intelligent interactive systems in knowledge-based environment.
Intelligent Educational Machines : Methodologies and Experiences
Artificial Intelligence and Education is an ever-growing research area. It uses artificial intelligence tools and techniques to provide the foundations for intelligent tutoring and learning systems. The main concern is taking advantage of computer-based technology to examine, discuss and foster the processes of cognition, learning, teaching and related subjects. This book supports and develops innovative teaching methods and learning systems. The goal of this volume has been to offer a wide spectrum of sample works developed in leading research throughout the world about innovative methodologies of artificial intelligence in education and foundations of engineering educational intelligent systems as well as applications and interesting experiences in the field. The book should be useful both for beginners and experienced researchers interested in applying computational intelligence to the educational process.
Intelligent Computer Mathematics ; 13th International Conference, CICM 2020, Bertinoro, Italy, July 26–31, 2020, Proceedings
This book constitutes the refereed proceedings of the 13th International Conference on Intelligent Computer Mathematics, CICM 2020, held in Bertinoro, Italy, in July 2020*. The 15 full papers, 1 invited paper and 2 abstracts of invited papers presented were carefully reviewed and selected from a total of 35 submissions. The papers focus on advances in automated theorem provers and formalization, computer algebra systems and their libraries, and applications of machine learning, among other topics.
Innovation Policy in a Knowledge-Based Economy : Theory and Practice
Why Analyze Innovation Policies From a Knowledge- Based Perspective? It is broadly accepted that we have moved (or are moving) to a knowled- based economy, characterized at least by two main features: that knowl edge is a major factor in economic growth, and innovation processes are systemic by nature. It is not surprising that this change in the economic paradigm requires new analytical foundations for innovation policies. One of the purposes of this book is to make suggestions as to what they should include. Underpinning all the chapters in this book is a conviction of the impor tance of dynamic and systemic approaches to innovation policy. Nelson and Arrow saw innovation and the creation of new knowl edge as the emergence and the diffusion of new information, characterized essentially as a public good. The more recent theoretical literature regarded the rationale for innovation policies as being to provide solutions to "mar ket failures". Today, however, knowledge is seen as multidimensional (tacit vs. codified) and open to interpretation. Acknowledging that the creation, coordination and diffusion of knowledge are dynamic and cumu lative processes, and that innovation processes result from the coordination of distributed knowledge, renders the "market failure" view of innovation policies obsolete. Innovation policies must be systemic and dynamic
Handbook on Decision Support Systems 1 : Basic Themes
Decision support systems have experienced a marked increase in attention and importance over the past 25 years. The aim of this book is to survey the decision support system (DSS) field – covering both developed territory and emergent frontiers. It will give the reader a clear understanding of fundamental DSS concepts, methods, technologies, trends, and issues. It will serve as a basic reference work for DSS research, practice, and instruction. To achieve these goals, the book has been designed according to a ten-part structure, divided in two volumes with chapters authored by well-known, well-versed scholars and practitioners from the DSS community.
Graph structures for knowledge representation and reasoning ; 6th International Workshop, GKR 2020, virtual event, September 5, 2020, revised selected papers
This book constitutes the thoroughly refereed post-conference proceedings of the 6th International Workshop on Graph Structures for Knowledge Representation and Reasoning, GKR 2020, held virtually in September 2020, associated with ECAI 2020, the 24th European Conference on Artificial Intelligence.
Genes on the Menu : Facts for Knowledge-Based Decisions
Only little more than a decade ago the term "genetic engineering" was hardly known outside research laboratories. Today it regularly makes headlines in the news. Supporters and opponents as well tell us that it could change our lives more than any other technological advance. This book delivers the state-of-the-art facts in order to empower the public to make knowledge-based decisions about plant biotechnology and GM crops and GM food, in particular. It discusses the hot topics of the present debate in a neutral manner and will function as a personal reference book for the interested public, for decision maker, and managers of consumer organisations.
Expert Clouds and Applications ; Proceedings of ICOECA 2021
Features original papers from International Conference on Expert Clouds and Applications (ICOECA 2021), organized by GITAM School of Technology, Bangalore, India during February 18–19, 2021. It covers new research insights on artificial intelligence, big data, cloud computing, sustainability, and knowledge-based expert systems. The book discusses innovative research from all aspects including theoretical, practical, and experimental domains that pertain to the expert systems, sustainable clouds, and artificial intelligence technologies.
Examining Innovation Management from a Fair Process Perspective
Companies nowadays still differ considerably in that they interact with employees. This interaction depends on different organisational cultures, leadership styles, and the ways in which information and communication take place. A recent trend, even in economic theory, is that interactions are valued in themselves and not solely to achieve rational economic maximisation. People care about outcomes, but they also care about the interactional processes that produce those outcomes. Thomas Limberg investigates a new approach to the management of human relationships in a knowledge-based work environment and analyses the relationship between fair process and innovation performance. Key findings are that social interactions have a significant influence on execution performance in organisations, and fairness can have positive effects on innovative behaviour and therefore on innovation performance. In the transition from a production-based to a knowledge-based economy, fair process is becoming a powerful tool for managing human interactions and for influencing attitudes and behaviours that are so critical in reaching high innovation performance.
Evolving Connectionist Systems : The Knowledge Engineering Approach
Evolving Connectionist Systems is aimed at all those interested in developing and using intelligent computational models and systems to solve challenging real world problems in computer science, engineering, bioinformatics and neuroinformatics. The book challenges scientists and practitioners with open questions about future creation of new information models inspired by Nature. This edition includes new methods for adaptive, knowledge-based learning, such as online incremental feature selection, spiking neural networks, transductive neuro-fuzzy inference, adaptive data and model integration, cellular automata and artificial life systems, particle swarm optimisation, ensembles of evolving systems, and quantum inspired neural networks. New applications to gene and protein interaction modelling, brain data analysis and brain model creation, computational neuro-genetic modelling, adaptive speech, image and multimodal recognition, language modelling, adaptive robotics, modelling dynamic financial and socio-economic systems, and ecological modelling, are covered. An important new feature of the book is the attempt to connect different structural and functional levels of a complex, intelligent system, looking for inspiration from functional relationships in natural systems, such as the genetic and the brain activity.
Evolution of the Web in Artificial Intelligence Environments
The material in this book is designed to be drawn from different Web application areas so as to provide an overview of important contributions in the development of the Web applications. These are mainly in the areas of Web personalisation, semantic Web and Web services.
Engineering Knowledge in the Age of the Semantic Web ; 15th International Conference, EKAW 2006, Podebrady, Czech Republic, October 6-10, 2006, Proceedings
The 15th International Conference on Knowledge Engineering and Knowledge Management (2006), held on October 6-10, 2006 in Pod? ebrady,Czech Republic, followed a long tradition of European Knowledge Acquisition Workshops (from 1987),whicheventuallyacquiredtheformatofconference(in2000)whilekeeping their open-minded and interactive spirit. During the nearly 20 year lifespan of the series, the discipline of knowledge engineering (KE) evolved greatly. While knowledge acquisition (KA) techniques dominated in the very ?rst years, formal approaches to knowledge-based inf- ence and variousnew streamssuch as knowledgediscoveryfrom data/textslater cameinto play. During thelate1990sandafterwards,EKAWbecamea founding community for ontology and Semantic Web Research, which was also re?ected in the sub-titles of the 2002 and 2004 editions: “Ontologies and the Semantic Web” and “Engineering Knowledge in the Age of the Semantic Web,” resp- tively.
