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Knowledge Discovery, Knowledge Engineering and Knowledge Management: 8th International Joint Conference, IC3K 2016, Porto, Portugal, November 9–11, 2016, Revised Selected Papers (Communications in Computer and Information Science #914)
by Joaquim Filipe Jorge Bernardino Kecheng Liu David Aveiro Jan Dietz Ana FredThis book constitutes the thoroughly refereed proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2016, held in Porto, Portugal, in November 2016.The 18 full papers presented were carefully reviewed and selected from 186 submissions. The papers are organized in topical sections on knowledge discovery and information retrieval; knowledge engineering and ontology development; and knowledge management and information sharing.
Knowledge Discovery, Knowledge Engineering and Knowledge Management
by Joaquim Filipe Kecheng Liu David Aveiro Jan L. G. Dietz Ana FredThis book constitutes the thoroughly refereed proceedings of the 6th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2014, held in Rome, Italy, in October 2015. The 37 full papers presented were carefully reviewed and selected from 287 submissions. The papers are organized in topical sections on knowledge discovery and information retrieval; knowledge engineering and ontology development; knowledge management and information sharing.
Knowledge Discovery, Knowledge Engineering and Knowledge Management: 13th International Joint Conference, IC3K 2021, Virtual Event, October 25–27, 2021, Revised Selected Papers (Communications in Computer and Information Science #1718)
by Ana Fred David Aveiro Jan Dietz Jorge Bernardino Elio Masciari Joaquim FilipeThis book constitutes the extended and revised versions of a set of selected papers from the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2021, on October 25–27, 2021. The conference was held virtually due to the COVID-19 crisis.The 9 full papers included in this book were carefully reviewed and selected from 103 submissions. The purpose of the IC3K is to bring together researchers, engineers and practitioners on the areas of Knowledge Discovery, Knowledge Engineering and Knowledge Management. IC3K is composed of three co-located conferences, each specialized in at least one of the aforementioned main knowledge areas.
Knowledge Discovery, Knowledge Engineering and Knowledge Management: 9th International Joint Conference, IC3K 2017, Funchal, Madeira, Portugal, November 1-3, 2017, Revised Selected Papers (Communications in Computer and Information Science #976)
by Ana Fred David Aveiro Jan L. Dietz Kecheng Liu Jorge Bernardino Ana Salgado Joaquim FilipeThis book constitutes the thoroughly refereed proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2017, held in Funchal, Madeira, Portugal, in November 2017.The 19 full papers presented were carefully reviewed and selected from 157 submissions. The papers are organized in topical sections on knowledge discovery and information retrieval; knowledge engineering and ontology development; and knowledge management and information sharing.
Knowledge Discovery, Knowledge Engineering and Knowledge Management: 12th International Joint Conference, IC3K 2020, Virtual Event, November 2-4, 2020, Revised Selected Papers (Communications in Computer and Information Science #1608)
by Ana Fred David Aveiro Jan Dietz Ana Salgado Jorge Bernardino Joaquim FilipeThis book constitutes the refereed proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2020, Virtual Event, November 2-4, 2020. The conference was held virtually due to the COVID-19 crisis.The 8 full papers included in this book were carefully reviewed and selected from 133 submissions.
Knowledge Discovery, Knowledge Engineering and Knowledge Management
by Ana Fred Jan L.G. Dietz David Aveiro Kecheng Liu Joaquim FilipeThis book constitutes the thoroughly refereed proceedings of the 6th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2014, held in Rome, Italy, in October 2015. The 37 full papers presented were carefully reviewed and selected from 287 submissions. The papers are organized in topical sections on knowledge discovery and information retrieval; knowledge engineering and ontology development; knowledge management and information sharing.
Knowledge Discovery, Knowledge Engineering and Knowledge Management
by Ana Fred Jan L.G. Dietz Kecheng Liu Joaquim FilipeThis book constitutes the thoroughly refereed proceedings of the 5th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2013, held in Vilamoura, Portugal, in September 2013. The 27 full papers presented together with two invited papers were carefully reviewed and selected from 239 submissions. The papers are organized in topical sections on knowledge discovery and information retrieval; knowledge engineering and ontology development; knowledge management and information sharing.
Knowledge Discovery, Knowledge Engineering and Knowledge Management: 10th International Joint Conference, IC3K 2018, Seville, Spain, September 18-20, 2018, Revised Selected Papers (Communications in Computer and Information Science #1222)
by Ana Fred Ana Salgado David Aveiro Jan Dietz Jorge Bernardino Joaquim FilipeThis book constitutes the thoroughly refereed proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2018, held in Seville, Spain, in September 2018.The 12 full papers presented were carefully reviewed and selected from 167 submissions. The papers are organized in topical sections on knowledge discovery and information retrieval; knowledge engineering and ontology development; and knowledge management and information sharing.
Knowledge Discovery, Knowledge Engineering and Knowledge Management: 11th International Joint Conference, IC3K 2019, Vienna, Austria, September 17-19, 2019, Revised Selected Papers (Communications in Computer and Information Science #1297)
by Ana Fred Ana Salgado David Aveiro Jan Dietz Jorge Bernardino Joaquim FilipeThis book constitutes the revised selected papers of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2019, held in Vienna, Austria, in September 2019.The 25 full papers presented were carefully reviewed and selected from 220 submissions. The papers are organized in topical sections on knowledge discovery and information retrieval; knowledge engineering and ontology development; and knowledge management and information systems.
Knowledge Discovery Process and Methods to Enhance Organizational Performance
by Kweku-Muata Osei-Bryson Corlane BarclayAlthough the terms "data mining" and "knowledge discovery and data mining" (KDDM) are sometimes used interchangeably, data mining is actually just one step in the KDDM process. Data mining is the process of extracting useful information from data, while KDDM is the coordinated process of understanding the business and mining the data in order to identify previously unknown patterns.Knowledge Discovery Process and Methods to Enhance Organizational Performance explains the knowledge discovery and data mining (KDDM) process in a manner that makes it easy for readers to implement. Sharing the insights of international KDDM experts, it details powerful strategies, models, and techniques for managing the full cycle of knowledge discovery projects. The book supplies a process-centric view of how to implement successful data mining projects through the use of the KDDM process. It discusses the implications of data mining including security, privacy, ethical and legal considerations. Provides an introduction to KDDM, including the various models adopted in academia and industry Details critical success factors for KDDM projects as well as the impact of poor quality data or inaccessibility to data on KDDM projects Proposes the use of hybrid approaches that couple data mining with other analytic techniques (e.g., data envelopment analysis, cluster analysis, and neural networks) to derive greater value and utility Demonstrates the applicability of the KDDM process beyond analytics Shares experiences of implementing and applying various stages of the KDDM process in organizations The book includes case study examples of KDDM applications in business and government. After reading this book, you will understand the critical success factors required to develop robust data mining objectives that are in alignment with your organization’s strategic business objectives.
Knowledge Discovery with Support Vector Machines
by Lutz H. HamelAn easy-to-follow introduction to support vector machinesThis book provides an in-depth, easy-to-follow introduction to support vector machines drawing only from minimal, carefully motivated technical and mathematical background material. It begins with a cohesive discussion of machine learning and goes on to cover:Knowledge discovery environmentsDescribing data mathematicallyLinear decision surfaces and functionsPerceptron learningMaximum margin classifiersSupport vector machinesElements of statistical learning theoryMulti-class classificationRegression with support vector machinesNovelty detectionComplemented with hands-on exercises, algorithm descriptions, and data sets, Knowledge Discovery with Support Vector Machines is an invaluable textbook for advanced undergraduate and graduate courses. It is also an excellent tutorial on support vector machines for professionals who are pursuing research in machine learning and related areas.
Knowledge Engineering and Knowledge Management: 24th International Conference, EKAW 2024, Amsterdam, The Netherlands, November 26–28, 2024, Proceedings (Lecture Notes in Computer Science #15370)
by Mehwish Alam Marco Rospocher Marieke Van Erp Laura Hollink Genet Asefa GeseseThis book constitutes the refereed proceedings of the 24th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2024, held in Amsterdam, The Netherlands, during November 26–28, 2024. The 28 full papers presented together were carefully reviewed and selected from 115 submissions. They focus on all aspects of knowledge in constructing systems and services for the semantic web, knowledge management, knowledge discovery, information integration, natural language processing, intelligent systems, e-business, e-health, humanities, cultural heritage, and beyond.
Knowledge Engineering and Knowledge Management
by Eva Blomqvist Paolo Ciancarini Francesco Poggi Fabio VitaliThis book constitutes the refereed proceedings of the 20th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2016, held in Bologna, Italy, in November 2016. The 51 full papers presented were carefully reviewed and selected from 171 submissions. The papers cover all aspects of eliciting, acquiring, modeling, and managing knowledge, the construction of knowledge-intensive systems and services for the Semantic Web, knowledge management, e-business, natural language processing, intelligent information integration, personal digital assistance systems, and a variety of other related topics. A special focus was on "evolving knowledge", i. e. , the impact of space and time on knowledge representation, concerning all aspects of the management and acquisition of knowledge representation of evolving, contextual, and local models.
Knowledge Engineering and Knowledge Management
by Paolo Ciancarini Francesco Poggi Matthew Horridge Jun Zhao Tudor Groza Mari Carmen Suarez-Figueroa Mathieu D'Aquin Valentina PresuttiThis book contains the best selected papers of two Satellite Events held at the 20th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2016, in November 2016 in Bologna, Italy: The Second International Workshop on Educational Knowledge Management, EKM 2016, and the First Workshop: Detection, Representation and Management of Concept Drift in Linked Open Data, Drift-an-LOD 2016. The 6 revised full papers included in this volume were carefully reviewed and selected from the 13 full papers that were accepted for presentation at the conference from the initial 82 submissions. This volume also contains the 37 accepted contributions for the EKAW 2016 tutorials, demo and poster sessions, and the doctoral consortium. The special focus of this year's EKAW was "evolving knowledge", which concerns all aspects of the management and acquisition of knowledge representations of evolving, contextual, and local models. This includes change management, trend detection, model evolution, streaming data and stream reasoning, event processing, time-and space dependent models, contextual and local knowledge representations with a special emphasis on the evolvability and localization of knowledge and the correct usage of these limits.
Knowledge Engineering and Knowledge Management: 23rd International Conference, EKAW 2022, Bolzano, Italy, September 26–29, 2022, Proceedings (Lecture Notes in Computer Science #13514)
by Oscar Corcho Laura Hollink Oliver Kutz Nicolas Troquard Fajar J. EkaputraThis book constitutes the refereed proceedings of the 23rd International Conference on Knowledge Engineering and Knowledge Management, EKAW 2022, held in Bolzano, Italy, in September 2022. The 11 full papers presented together with 5 short papers were carefully reviewed and selected from 57 submissions The previous event in the series, EKAW 2020, introduced a special theme related to “Ethical and Trustworthy Knowledge Engineering.” This theme is still very relevant in 2022, and thus has remained one of the core topics of the conference.The conference concerned with all aspects about eliciting, acquiring, modeling and managing knowledge, and the construction of knowledge-intensive systems and services for the semantic web, knowledge management, e-business, natural language processing, intelligent information integration, and much more.
Knowledge Engineering and Knowledge Management: 20th International Conference, EKAW 2016, Bologna, Italy, November 19-23, 2016, Proceedings (Lecture Notes in Computer Science #10024)
by Eva Blomqvist, Paolo Ciancarini, Francesco Poggi and Fabio VitaliThis book constitutes the refereed proceedings of the 20th InternationalConference on Knowledge Engineering and Knowledge Management, EKAW 2016,held in Bologna, Italy, in November 2016.The 51 full papers presented were carefully reviewed and selected from 171 submissions. The papers cover all aspects of eliciting, acquiring, modeling, and managing knowledge, the construction of knowledge-intensive systems and services for the Semantic Web, knowledge management, e-business, natural language processing,intelligent information integration, personal digital assistance systems, and a variety of other related topics. A special focus was on "evolving knowledge", i.e., the impact of space and time on knowledge representation, concerning all aspects of the management and acquisition of knowledge representation of evolving, contextual, and local models.
Knowledge Engineering and Knowledge Management: 22nd International Conference, EKAW 2020, Bolzano, Italy, September 16–20, 2020, Proceedings (Lecture Notes in Computer Science #12387)
by C. Maria Keet Michel DumontierThis book constitutes the refereed proceedings of the 22nd International Conference on Knowledge Engineering and Knowledge Management, EKAW 2020, held in Bolzano, Italy, in September 2020. The 12 full papers presented together with 7 were carefully reviewed and selected from 104 submissions. The special theme of EKAW 2020 is „Ethical and Trustworthy Knowledge Engineering". The papers cover all aspects of eliciting, acquiring, discovering, modeling, and managing knowledge and construction of knowledge-intensive systems.
Knowledge Engineering and Knowledge Management: 21st International Conference, EKAW 2018, Nancy, France, November 12-16, 2018, Proceedings (Lecture Notes in Computer Science #11313)
by Catherine Faron Zucker Chiara Ghidini Amedeo Napoli Yannick ToussaintThis book constitutes the refereed proceedings of the 21th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2018, held in Nancy, France, in November 2018. The 36 full papers presented were carefully reviewed and selected from 104 submissions. The papers cover all aspects of eliciting, acquiring, modeling, and managing knowledge, the construction of knowledge-intensive systems and services for the Semantic Web, knowledge management, e-business, natural language processing, intelligent information integration, personal digital assistance systems, and a variety of other related topics. A special focus was on "Knowledge and AI", i.e. papers describing algorithms, tools, methodologies, and applications that exploit the interplay between knowledge and Artificial Intelligence techniques, with a special emphasis on knowledge discovery.
Knowledge Engineering and Management: Proceedings of the Seventh International Conference on Intelligent Systems and Knowledge Engineering, Beijing, China, Dec 2012 (ISKE #2012)
by Fuchun Sun Hongbo Li Tianrui LiThese proceedings present technical papers selected from the 2012 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2012), held on December 15-17 in Beijing. The aim of this conference is to bring together experts from different fields of expertise to discuss the state-of-the-art in Intelligent Systems and Knowledge Engineering, and to present new findings and perspectives on future developments. The proceedings introduce current scientific and technical advances in the fields of artificial intelligence, machine learning, pattern recognition, data mining, knowledge engineering, information retrieval, information theory, knowledge-based systems, knowledge representation and reasoning, multi-agent systems, and natural-language processing, etc. Furthermore they include papers on new intelligent computing paradigms, which combine new computing methodologies, e.g., cloud computing, service computing and pervasive computing with traditional intelligent methods. By presenting new methodologies and practices, the proceedings will benefit both researchers and practitioners who want to utilize intelligent methods in their specific fields. Dr. Fuchun Sun is a professor at the Department of Computer Science & Technology, Tsinghua University, China. Dr. Tianrui Li is a professor at the School of Information Science & Technology, Southwest Jiaotong University, Chengdu, China. Dr. Hongbo Li also works at the Department of Computer Science & Technology, Tsinghua University, China.
Knowledge Engineering and Management
by Zhenkun Wen Tianrui Li"Knowledge Engineering and Management" presents selected papers from the 2013 International Conference on Intelligent Systems and Knowledge Engineering (ISKE2013). The aim of this conference is to bring together experts from different expertise areas to discuss the state-of-the-art in Intelligent Systems and Knowledge Engineering, and to present new research results and perspectives on future development. The topics in this volume include, but not limited to: Knowledge Representation and Modeling, Knowledge Maintenance, Knowledge Elicitation, Knowledge-Based Systems (KBS), Content Management and Knowledge Management Systems, Ontology Engineering, Data Mining and Knowledge Discovery, Knowledge Acquisition, etc. The proceedings are benefit for both researchers and practitioners who want to utilize knowledge engineering methods in their specific research fields. Dr. Zhenkun Wen is a Professor at the College of Computer and Software Engineering, Shenzhen University, China. Dr. Tianrui Li is a Professor at the School of Information Science and Technology, Southwest Jiaotong University, Xi'an, China.
Knowledge Engineering and Semantic Web: 8th International Conference, KESW 2017, Szczecin, Poland, November 8-10, 2017, Proceedings (Communications in Computer and Information Science #786)
by Przemysław Różewski and Christoph LangeThis book constitutes the refereed proceedings of the 8th International Conference on Knowledge Engineering and the Semantic Web, KESW 2017, held Szczecin, Poland, in November 2017. The 16 full papers presented were carefully reviewed and selected from 58 submissions. The papers are organized in topical sections on natural language processing; knowledge representation and reasoning; ontologies and controlled vocabularies; scalable data access and storage solutions; semantic Web and education; linked data; semantic technologies in manufacturing and business.
Knowledge Engineering Tools and Techniques for AI Planning
by Mauro Vallati Diane KitchinThis book presents a comprehensive review for Knowledge Engineering tools and techniques that can be used in Artificial Intelligence Planning and Scheduling. KE tools can be used to aid in the acquisition of knowledge and in the construction of domain models, which this book will illustrate. AI planning engines require a domain model which captures knowledge about how a particular domain works - e.g. the objects it contains and the available actions that can be used. However, encoding a planning domain model is not a straightforward task - a domain expert may be needed for their insight into the domain but this information must then be encoded in a suitable representation language. The development of such domain models is both time-consuming and error-prone. Due to these challenges, researchers have developed a number of automated tools and techniques to aid in the capture and representation of knowledge.This book targets researchers and professionals working in knowledge engineering, artificial intelligence and software engineering. Advanced-level students studying AI will also be interested in this book.
Knowledge Games: How Playing Games Can Solve Problems, Create Insight, and Make Change (Tech.edu: A Hopkins Series on Education and Technology)
by Karen SchrierAre games the knowledge-producers of the future?Imagine if new knowledge and insights came not just from research centers, think tanks, and universities but also from games, of all things. Video games have been viewed as causing social problems, but what if they actually helped solve them? This question drives Karen Schrier’s Knowledge Games, which seeks to uncover the potentials and pitfalls of using games to make discoveries, solve real-world problems, and better understand our world. For example, so-called knowledge games—such as Foldit, a protein-folding puzzle game, SchoolLife, which crowdsources bullying interventions, and Reverse the Odds, in which mobile game players analyze breast cancer data—are already being used by researchers to gain scientific, psychological, and humanistic insights.Schrier argues that knowledge games are potentially powerful because of their ability to motivate a crowd of problem solvers within a dynamic system while also tapping into the innovative data processing and computational abilities of games. In the near future, Schrier asserts, knowledge games may be created to understand and predict voting behavior, climate concerns, historical perspectives, online harassment, susceptibility to depression, or optimal advertising strategies, among other things.In addition to investigating the intersection of games, problem solving, and crowdsourcing, Schrier examines what happens when knowledge emerges from games and game players rather than scientists, professionals, and researchers. This accessible book also critiques the limits and implications of games and considers how they may redefine what it means to produce knowledge, to play, to educate, and to be a citizen.
Knowledge Graph and Semantic Computing: Semantic, Knowledge, and Linked Big Data
by Huajun Chen Heng Ji Le Sun Haixun Wang Tieyun Qian Tong RuanThis book constitutes the refereed proceedings of the first China Conference on Knowledge Graph and Semantic Computing, CCKS, held in Beijing, China, in September 2016. The 19 revised full papers presented together with 6 shared tasks were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on knowledge representation and learning; knowledge graph construction and information extraction; linked data and knowledge-based systems; shared tasks.
Knowledge Graph and Semantic Computing: 5th China Conference, CCKS 2020, Nanchang, China, November 12–15, 2020, Revised Selected Papers (Communications in Computer and Information Science #1356)
by Huajun Chen Kang Liu Yizhou Sun Suge Wang Lei HouThis book constitutes the refereed proceedings of the 5th China Conference on Knowledge Graph and Semantic Computing, CCKS 2020, held in Nanchang, China, in November 2020. The 26 revised full papers presented were carefully reviewed and selected from 173 submissions. The papers are organized in topical sections on knowledge extraction: lexical and entity; knowledge extraction: relation; knowledge extraction: event; knowledge applications: question answering, dialogue, decision support, and recommendation.