Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

A core technology for making the semantic web happen is the field of semantic annotation, which turns human-understandable content into a machine understandable form. This book reports on the range of technologies that are used to achieve this translation and nourish third millennium applications.

Semantic Web. --- Semantic networks (Information theory) --- Knowledge management. --- Management of knowledge assets --- Management --- Information technology --- Intellectual capital --- Organizational learning --- Semantic net (Information theory) --- Semantic nets (Information theory) --- Artificial intelligence --- Information theory --- Semantic computing --- Semantic integration (Computer systems) --- World Wide Web --- Microformats --- Knowledge management --- Semantic Web --- Semantic networks (Information theory).

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book constitutes the refereed proceedings of the 20th International Conference on Applications of Natural Language to Information Systems, NLDB 2015, held in Passau, Germany, in June 2015. The 18 full papers, 15 short papers, 14 poster and demonstration papers presented were carefully reviewed and selected from 100 submissions. The papers cover the following topics: information extraction, distributional semantics, querying and question answering systems, context-aware NLP, cognitive and semantic computing, sentiment and opinion analysis, information extraction and social media, NLP and usability, text classification and extraction, and posters and demonstrations.

Computer Science. --- Language Translation and Linguistics. --- Artificial Intelligence (incl. Robotics). --- Information Storage and Retrieval. --- Data Mining and Knowledge Discovery. --- Computer science. --- Data mining. --- Information storage and retrieval systems. --- Artificial intelligence. --- Translators (Computer programs). --- Informatique --- Exploration de données (Informatique) --- Systèmes d'information --- Intelligence artificielle --- Traducteurs (Logiciels) --- Philology & Linguistics --- Languages & Literatures --- Information storage and retrieval. --- Computational linguistics. --- Automatic language processing --- Language and languages --- Language data processing --- Linguistics --- Natural language processing (Linguistics) --- Applied linguistics --- Cross-language information retrieval --- Mathematical linguistics --- Multilingual computing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Informatics --- Science --- Data processing --- Natural language processing (Computer science). --- Information storage and retrieva. --- Natural Language Processing (NLP). --- Artificial Intelligence. --- NLP (Computer science) --- Artificial intelligence --- Human-computer interaction --- Semantic computing --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- Computer-based information systems --- Data processing systems --- Data storage and retrieval systems --- Discovery systems, Information --- Information discovery systems --- Information processing systems --- Information retrieval systems --- Machine data storage and retrieval --- Mechanized information storage and retrieval systems --- Computer systems --- Electronic information resources --- Data libraries --- Digital libraries --- Information organization --- Information retrieval --- Natural language processing (Computer science) --- Data centers

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Computer architecture. Operating systems --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- ICT (informatie- en communicatietechnieken) --- IR (information retrieval) --- informatiesystemen --- database management --- computernetwerken --- robots

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Although it is widely recognized that analyzing large volumes of data by intelligent methods may provide highly valuable insights, the practical success of data science has led to the development of a sometimes confusing variety of methods, approaches and views. This practical textbook aims to point out the most important principles of data analysis from the mathematical point of view. Specifically, it selected these questions for exploring: Which are the principles necessary to understand the implications of an application, and which are necessary to understand the conditions for the success of methods used? Theory is presented only to the degree necessary to apply it properly, striving for the balance between excessive complexity and oversimplification. Its primary focus is on principles crucial for application success. Topics and features: Focuses on approaches supported by mathematical arguments, rather than sole computing experiences Investigates conditions under which numerical algorithms used in data science operate, and what performance can be expected from them Considers key data science problems: problem formulation including optimality measure; learning and generalization in relationships to training set size and number of free parameters; and convergence of numerical algorithms Examines original mathematical disciplines (statistics, numerical mathematics, system theory) as they are specifically relevant to a given problem Addresses the trade-off between model size and volume of data available for its identification and its consequences for model parameterization Investigates the mathematical principles involved with natural language processing and computer vision Keeps subject coverage intentionally compact, focusing on key issues of each topic to encourage full comprehension of the entire book Although this core textbook aims directly at students of computer science and/or data science, it will be of real appeal, too, to researchers in the field who want to gain a proper understanding of the mathematical foundations "beyond" the sole computing experience.

Mathematical logic --- Discrete mathematics --- Mathematics --- Computer science --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- discrete wiskunde --- informatica --- wiskunde --- KI (kunstmatige intelligentie) --- logica

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The Semantic Web aims at enriching the existing Web with meta-data and processing methods so as to provide web-based systems with advanced capabilities, in particular with context awareness and decision support. The objective of this book is to provide a coherent introduction to semantic web methods and research issues with a particular emphasis on reasoning. The 2011 school programme focused around the central topic of applications of reasoning for the emerging "Web of Data'' with twelve exciting lectures. The chapters in the present book provide educational material and references for further reading. The excellent overview articles provided by the lecturers not only serve as accompanying material for the students of the summer school itself: we are happy to present a volume that also provides the general reader an entry point to various topics related to reasoning over web data.

Computer architecture. Operating systems --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- ICT (informatie- en communicatietechnieken) --- IR (information retrieval) --- informatiesystemen --- database management --- computernetwerken --- robots