Tag: Knowledge

Concepts, Ontologies, and Knowledge Representation


Free Download Concepts, Ontologies, and Knowledge Representation By Grega Jakus, Veljko Milutinović, Sanida Omerović, Sašo Tomažič (auth.)
2013 | 67 Pages | ISBN: 1461478219 | PDF | 3 MB
Recording knowledge in a common framework that would make it possible to seamlessly share global knowledge remains an important challenge for researchers. This brief examines several ideas about the representation of knowledge addressing this challenge. A widespread general agreement is followed that states uniform knowledge representation should be achievable by using ontologies populated with concepts. A separate chapter is dedicated to each of the three introduced topics, following a uniform outline: definition, organization, and use. This brief is intended for those who want to get to know the field of knowledge representation quickly, or would like to be up to date with current developments in the field. It is also useful for those dealing with implementation as examples of numerous operational systems are also given.

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Advances in Knowledge Discovery and Data Mining 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17,


Free Download Advances in Knowledge Discovery and Data Mining: 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part II By Xiongcai Cai, Michael Bain, Alfred Krzywicki (auth.), Jian Pei, Vincent S. Tseng, Longbing Cao, Hiroshi Motoda, Guandong Xu (eds.)
2013 | 588 Pages | ISBN: 3642374557 | PDF | 20 MB
The two-volume set LNAI 7818 + LNAI 7819 constitutes the refereed proceedings of the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2013, held in Gold Coast, Australia, in April 2013. The total of 98 papers presented in these proceedings was carefully reviewed and selected from 363 submissions. They cover the general fields of data mining and KDD extensively, including pattern mining, classification, graph mining, applications, machine learning, feature selection and dimensionality reduction, multiple information sources mining, social networks, clustering, text mining, text classification, imbalanced data, privacy-preserving data mining, recommendation, multimedia data mining, stream data mining, data preprocessing and representation.

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Wittgenstein on Knowledge and Certainty


Free Download Danièle Moyal-Sharrock, "Wittgenstein on Knowledge and Certainty "
English | ISBN: 1108931197 | 2024 | 75 pages | PDF | 906 KB
An overview is offered of Wittgenstein’s groundbreaking discussion of knowledge and certainty, especially in his final notebooks, published as On Certainty. The main interpretative readings of On Certainty are discussed, especially a non-propositional/non-epistemic interpretation and a variety of propositional and/or epistemic interpretations. Surveys are offered of the readings of On Certainty presented by such figures as Annalisa Coliva, John Greco, Danièle Moyal-Sharrock, Duncan Pritchard, Genia Schönbaumsfeld, P. F. Strawson, MichaelWilliams, and CrispinWright. This Element demonstrates how On Certainty has been especially groundbreaking for epistemology with regard to its treatment of the problem of radical scepticism.

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Transactions on Large-Scale Data- and Knowledge-Centered Systems VIII Special Issue on Advances in Data Warehousing and Knowle


Free Download Transactions on Large-Scale Data- and Knowledge-Centered Systems VIII: Special Issue on Advances in Data Warehousing and Knowledge Discovery By Xiufeng Liu, Christian Thomsen (auth.), Abdelkader Hameurlain, Josef Küng, Roland Wagner, Alfredo Cuzzocrea, Umeshwar Dayal (eds.)
2013 | 197 Pages | ISBN: 3642375731 | PDF | 6 MB
The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments. This, the eighth issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains eight revised selected regular papers focusing on the following topics: scalable data warehousing via MapReduce, extended OLAP multidimensional models, naive OLAP engines and their optimization, advanced data stream processing and mining, semi-supervised learning of data streams, incremental pattern mining over data streams, association rule mining over data streams, frequent pattern discovery over data streams.

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Information and Knowledge Systems


Free Download Manaswini Pradhan, "Information and Knowledge Systems"
English |ASIN : B0CRHJDC45 | 2023 | 179 pages | PDF | 13 MB
Information and knowledge management systems are crucial technologies in today’s world and form an integral part of the learning management system (LMS) and decision science. Dissemination of knowledge is effectively managed with the adoption of LMS. The pandemic period witnessed the accelerated and massive use of the LMS with the adoption of online classes, which, to a great extent mitigated the educational needs of society. In the present era of increased reliance on online methods of imparting education and the introduction of the digital university in the last year Union budget presentation, information, and knowledge management has assumed greater proportion and the world is now experiencing a greater reliance on it. From this perspective, this book can certainly contribute to knowledge building and management of delivery mechanisms. We are also excited about the science of information and knowledge management as an integrated science that focuses on the study and design of intelligent computational systems, including knowledge of logic and basic probability, calculus, data structure, engineering optimization, and matrix theory to develop the concepts to solve a given problem. The book is systematically organized into 11 chapters and cover topics of current interest to researchers, academicians, industrials, and scientists, and prepares them to appreciate the field and for discussion on further technological concepts of Information and Knowledge Systems (IKS). The various topics of the book have been explained in clear and simple language. Readers will be able to appreciate the concept of Information and Knowledge Systems together with their engineering applications.

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Managing Requirements Knowledge


Free Download Managing Requirements Knowledge By W. Maalej, A. K. Thurimella (auth.), Walid Maalej, Anil Kumar Thurimella (eds.)
2013 | 398 Pages | ISBN: 3642344186 | PDF | 5 MB
Requirements engineering is one of the most complex and at the same time most crucial aspects of software engineering. It typically involves different stakeholders with different backgrounds. Constant changes in both the problem and the solution domain make the work of the stakeholders extremely dynamic. New problems are discovered, additional information is needed, alternative solutions are proposed, several options are evaluated, and new hands-on experience is gained on a daily basis. The knowledge needed to define and implement requirements is immense, often interdisciplinary and constantly expanding. It typically includes engineering, management and collaboration information, as well as psychological aspects and best practices.This book discusses systematic means for managing requirements knowledge and its owners as valuable assets. It focuses on potentials and benefits of "lightweight," modern knowledge technologies such as semantic Wikis, machine learning, and recommender systems applied to requirements engineering. The 17 chapters are authored by some of the most renowned researchers in the field, distilling the discussions held over the last five years at the MARK workshop series. They present novel ideas, emerging methodologies, frameworks, tools and key industrial experience in capturing, representing, sharing, and reusing knowledge in requirements engineering.While the book primarily addresses researchers and graduate students, practitioners will also benefit from the reports and approaches presented in this comprehensive work.

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Knowledge-Driven Entrepreneurship The Key to Social and Economic Transformation


Free Download Piero Formica, Martin G. Curley, "Knowledge-Driven Entrepreneurship: The Key to Social and Economic Transformation"
English | 2009 | pages: 260 | ISBN: 1441911871, 1461425263 | PDF | 10,7 mb
The Springer book series Innovation, Technology, and Knowledge Management was launched in March 2008 as a forum and intellectual, scholarly "podium" for global/local, transdisciplinary, transsectoral, public-private, and leading/"bleeding" -edge ideas, theories, and perspectives on these topics. The book series is accompanied by the Springer Journal of the Knowledge Economy, which was launched in 2009 with the same editorial leadership. The series showcases provocative views that diverge from the current "conv- tional wisdom," that are properly grounded in theory and practice, and that consider 1 2 the concepts of robust competitiveness, sustainable entrepreneurship, and demo- 3 cratic capitalism, central to its philosophy and objectives. More specifically, the aim of this series is to highlight emerging research and practice at the dynamic intersection of these fields, where individuals, organizations, industries, regions, and nations are harnessing creativity and invention to achieve and sustain growth. Books that are part of the series explore the impact of innovation at the "macro" (economies, markets), "meso" (industries, firms), and "micro" levels. (teams, indi viduals), drawing from such related disciplines as finance, organizational psychology, research and development, science policy, information systems, and 1 We define sustainable entrepreneurship as the creation of viable, profitable, and scalable firms. Such firms engender the formation of self-replicating and mutually enhancing innovation networks and knowledge clusters (innovation ecosystems), leading toward robust competitiveness (E.G. Carayannis, International Journal of Innovation and Regional Development, 1(3), 235-254, 2009).

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Knowledge Science, Engineering and Management 6th International Conference, KSEM 2013, Dalian, China, August 10-12, 2013. Proc


Free Download Knowledge Science, Engineering and Management: 6th International Conference, KSEM 2013, Dalian, China, August 10-12, 2013. Proceedings By Xue Bai, Yun Xiong, Yangyong Zhu, Qi Liu, Zhiyuan Chen (auth.), Mingzheng Wang (eds.)
2013 | 604 Pages | ISBN: 3642397867 | PDF | 18 MB
This book constitutes the refereed proceedings of the 6 th International Conference on Knowledge Science, Engineering and Management, KSEM 2013, held in Dalian City, China, in August 2013. The 50 revised papers (33 regular papers, 18 short papers, and keynote and invited talks) were carefully reviewed and selected from various submissions.

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