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Ontologies and Concepts in Mind and Machine

, in September 2020.* The 10 full papers, 5 short papers and 1 poster paper presented were carefully reviewed and selected from 24 submissions;

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Handbook on Ontologies

of ontologies is crucial for the purpose of enabling knowledge sharing and reuse. The Handbook on Ontologies provides a comprehensive overview of the;

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Applied Machine Learning for Smart Data Analysis

including key concepts and advancements. Ontologies that are used in heterogeneous IoT environments have been discussed including interpretation;

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A Pluralist Theory of the Mind

pluralist alternative that takes the diversity of our conceptual resources and ontologies seriously. This general pluralist account is applied to;

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Ontologies, Taxonomies and Thesauri in Systems Science and Systematics

- such as ontologies and taxonomies, as well as thesauri- to the ordering of knowledge based on primary information.;

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Introduction to Bio-Ontologies

Introduction to Bio-Ontologies explores the computational background of ontologies. Emphasizing computational and algorithmic issues;

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Introduction to Bio-Ontologies

Introduction to Bio-Ontologies explores the computational background of ontologies. Emphasizing computational and algorithmic issues;

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Ontological Engineering: With Examples from the Areas of Knowledge Management, E-Commerce and the Semantic Web. First Edition

and methodologies for building ontologies, and the tool suites and languages that support them. During the last decade, increasing attention;

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Ontological Engineering: With Examples from the Areas of Knowledge Management, E-Commerce and the Semantic Web. First Edition

and methodologies for building ontologies, and the tool suites and languages that support them. During the last decade, increasing attention;

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Ontologies in Urban Development Projects

in abstraction level, coverage, and formality. It also discusses the use of ontologies to achieve interoperability, and to represent multiple points;

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Artificial Intelligence XXXVI

topical sections: machine learning; knowledge discovery and data mining; agents, knowledge acquisition and ontologies; medical applications;

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Intelligent Systems in Big Data, Semantic Web and Machine Learning

This book describes important methodologies, tools and techniques from the fields of artificial intelligence, basically those which are;

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Ontologies with Python

Use ontologies in Python, with the Owlready2 module developed for ontology-oriented programming. You will start with an introduction and;

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Indigenous Religions

ontologies, focusing on the concepts of world-making, cosmology, and ecology and life-ways.;

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Advances in Artificial Intelligence -- SBIA 2010

, Brazil, in October 2010. The 31 papers presented were carefully reviewed and selected from 91 submissions. The topics covered are: ontologies;

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Studies in Natural Language Processing

The relation between ontologies and language is currently at the forefront of natural language processing (NLP). Ontologies, as widely used;

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Classification Made Relevant

Classification Made Relevant: How Scientists Build and Use Classifications and Ontologies explains how classifications and ontologies;

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Mind, Machine, And Metaphor

Mind, Machine, and Metaphor is a rich, original, and wide-ranging view of legal theory in the context of artificial intelligence (AI;

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Artificial Intelligence in Medicine

are organized in the following topical sections: ontologies and knowledge representation; Bayesian methods; temporal methods; natural language;

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A Primer on Machine Learning in Subsurface Geosciences

geoscientists in mind. It highlights the need to go beyond concepts covered in STAT 101 courses and embrace new computational tools to solve complex;

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Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data

classification; lexical semantics and ontologies; language resources and annotation; machine translation; speech recognition and synthesis; tagging and;

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Chinese Computational Linguistics and Natural Language Processing Based on Natur

on lexical semantics and ontologies; semantics; sentiment analysis, opinion mining and text classification; machine translation;

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Automatic Speech Processing and Natural Languages, Volume 2

presented in the first chapter the fundamental concepts in lexical semantics, lexical databases, knowledge representation paradigms, and ontologies;

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Ontology Engineering

, such as those found in ontologies and well-formed rule sets. Ontologies can provide a rich schema for the knowledge graphs underlying these;

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Soul Machine

notions of the mind as not an ethereal thing but a natural one. This became the basis of the mind sciences, liberal politics, secular ethics and;

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Soul Machine

notions of the mind as not an ethereal thing but a natural one. This became the basis of the mind sciences, liberal politics, secular ethics and;

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Business Systems Analysis with Ontologies

, evaluation, and engineering of business systems analysis methods. Readers are shown the world of ontologies through a number of research methods. For;

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