Using Data Mining For Facilitating User Contributions In The Social Semantic Web
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| Author | : Michele Bonazzi |
| Publisher | : Cambridge Scholars Publishing |
| Total Pages | : 220 |
| Release | : 2016-01-14 |
| Genre | : Political Science |
| ISBN | : 1443887730 |
In the next twenty years, the convergence of robotics, informatics, nano-bio-technologies, genetics, information technologies, and cognitive sciences will have a significant impact on society. This convergence will lead to a revolution in the way that science, health, energy, resources, production, consumption and environment are conceptualised. However, these technologies will also pose new and specific challenges in terms of sustainability, ethics, and even expectations of the future. Indeed, today, the word “future” is often associated with pessimism and fear, much more than it was in the past. In order to face all these technological, ethical and cultural challenges, governments, industries and societies will need a robust cognitive framework, in order to grasp the complex dimensions of the technological convergence in progress, and must rapidly develop effective strategies to face the situations that will, unavoidably, take place. This book provides, through systemic and complexity theories, some of the theoretical tools necessary to tackle the opportunities and risks of the future.
| Author | : P. Ristoski |
| Publisher | : IOS Press |
| Total Pages | : 246 |
| Release | : 2019-06-28 |
| Genre | : Computers |
| ISBN | : 1614999813 |
Data Mining and Knowledge Discovery in Databases (KDD) is a research field concerned with deriving higher-level insights from data. The tasks performed in this field are knowledge intensive and can benefit from additional knowledge from various sources, so many approaches have been proposed that combine Semantic Web data with the data mining and knowledge discovery process. This book, Exploiting Semantic Web Knowledge Graphs in Data Mining, aims to show that Semantic Web knowledge graphs are useful for generating valuable data mining features that can be used in various data mining tasks. In Part I, Mining Semantic Web Knowledge Graphs, the author evaluates unsupervised feature generation strategies from types and relations in knowledge graphs used in different data mining tasks such as classification, regression, and outlier detection. Part II, Semantic Web Knowledge Graphs Embeddings, proposes an approach that circumvents the shortcomings introduced with the approaches in Part I, developing an approach that is able to embed complete Semantic Web knowledge graphs in a low dimensional feature space where each entity and relation in the knowledge graph is represented as a numerical vector. Finally, Part III, Applications of Semantic Web Knowledge Graphs, describes a list of applications that exploit Semantic Web knowledge graphs like classification and regression, showing that the approaches developed in Part I and Part II can be used in applications in various domains. The book will be of interest to all those working in the field of data mining and KDD.
| Author | : A. Ławrynowicz |
| Publisher | : IOS Press |
| Total Pages | : 210 |
| Release | : 2017-04-18 |
| Genre | : Computers |
| ISBN | : 1614997462 |
Ontologies are now increasingly used to integrate, and organize data and knowledge, particularly in data and knowledge-intensive applications in both research and industry. The book is devoted to semantic data mining – a data mining approach where domain ontologies are used as background knowledge, and where the new challenge is to mine knowledge encoded in domain ontologies and knowledge graphs, rather than only purely empirical data. The introductory chapters of the book provide theoretical foundations of both data mining and ontology representation. Taking a unified perspective, the book then covers several methods for semantic data mining, addressing tasks such as pattern mining, classification and similarity-based approaches. It attempts to provide state-of-the-art answers to specific challenges and peculiarities of data mining with use of ontologies, in particular: How to deal with incompleteness of knowledge and the so-called Open World Assumption? What is a truly “semantic” similarity measure? The book contains several chapters with examples of applications of semantic data mining. The examples start from a scenario with moderate use of lightweight ontologies for knowledge graph enrichment and end with a full-fledged scenario of an intelligent knowledge discovery assistant using complex domain ontologies for meta-mining, i.e., an ontology-based meta-learning approach to full data mining processes. The book is intended for researchers in the fields of semantic technologies, knowledge engineering, data science, and data mining, and developers of knowledge-based systems and applications.
| Author | : Wan Ng |
| Publisher | : Routledge |
| Total Pages | : 258 |
| Release | : 2015-07-16 |
| Genre | : Education |
| ISBN | : 131766079X |
Mobile technologies are one of the fastest growing areas of technology in education. For learners, they offer an appealing opportunity to transcend teacher-defined knowledge and approaches by being able to access multiple, alternative sources of information anytime and anywhere. While the pace of engagement with and research into the educational applications of mobile technologies has picked up dramatically in the last decade, there is no consolidated view of how to sustain the practices or opportunities that are being explored. Sustainability is a complex but crucial issue in mobile learning as educational institutions are usually required to make substantial investments in mobile devices and associated technologies, time and training to initiate mobile learning programs. The complexity of sustainable mobile learning programs is further exacerbated by the fast pace of change of digital technologies, where with every change, new possibilities are opened up and investments required. In addition, educators are still attempting to reconcile institutions of formal education with informal mobile learning. The book addresses these issues, with a particular focus on: exploring the challenges surrounding the sustainability of mobile learning in K-12 and higher education investigating the importance of sustaining mobile learning for diverse populations of students globally discussing theoretical models for the sustainability of mobile learning providing the reader with strategies for sustaining mobile learning. Presenting new research alongside theoretical models and ideas for practice, the book will appeal to researchers, academics, and postgraduate students in the fields of education and mobile learning, as well as those working in teacher education.
| Author | : Daniel, Ben Kei |
| Publisher | : IGI Global |
| Total Pages | : 912 |
| Release | : 2010-11-30 |
| Genre | : Computers |
| ISBN | : 160960041X |
"This book satisfies the need for methodological consideration and tools for data collection, analysis and presentation in virtual communities, covering studies on various types of virtual communities, making this reference a comprehensive source of research for those in the social sciences and humanities"--Provided by publisher.
| Author | : Judith Masthoff |
| Publisher | : Springer |
| Total Pages | : 412 |
| Release | : 2012-06-19 |
| Genre | : Computers |
| ISBN | : 3642314546 |
This book constitutes the refereed proceedings of the 20 th International Conference on User Modeling, Adaptation, and Personalization, held in Montreal, Canada, in July 2012. The 22 long and 7 short papers of the Research Paper Track presented were carefully reviewed and selected from 101 submissions. The papers are organized in topical sections on user engagement; trust; user motivation, attention, and effort; recommender systems (including topics such as matrix factorization, critiquing, noise and spam in recommender systems); user centered design and evaluation; educational data mining; modeling learners; user models in microblogging; and visualization. The Industry Paper Track covered innovative commercial implementations or applications of UMAP technologies, and experience in applying recent research advances in practice. 2 long and 1 short papers were accepted of 5 submissions.
| Author | : Xu, Guandong |
| Publisher | : IGI Global |
| Total Pages | : 272 |
| Release | : 2013-01-31 |
| Genre | : Computers |
| ISBN | : 1466628073 |
Social Media Mining and Social Network Analysis: Emerging Research highlights the advancements made in social network analysis and social web mining and its influence in the fields of computer science, information systems, sociology, organization science discipline and much more. This collection of perspectives on developmental practice is useful for industrial practitioners as well as researchers and scholars.
| Author | : Longbing Cao |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 251 |
| Release | : 2010-01-08 |
| Genre | : Computers |
| ISBN | : 1441957375 |
This book offers state-of the-art research and development outcomes on methodologies, techniques, approaches and successful applications in domain driven, actionable knowledge discovery. It bridges the gap between business expectations and research output.
| Author | : Dasgupta, Subhasish |
| Publisher | : IGI Global |
| Total Pages | : 2409 |
| Release | : 2009-11-30 |
| Genre | : Computers |
| ISBN | : 1605669857 |
Uncovers the growing and expanding phenomenon of human behavior, social constructs, and communication in online environments.
| Author | : Taniar, David |
| Publisher | : IGI Global |
| Total Pages | : 353 |
| Release | : 2011-12-31 |
| Genre | : Computers |
| ISBN | : 1613504756 |
"This book is an updated look at the state of technology in the field of data mining and analytics offering the latest technological, analytical, ethical, and commercial perspectives on topics in data mining"--Provided by publisher.
