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Ontology Learning and Population from Text

web. Ontology Learning and Population from Text: Algorithms, Evaluation and Applications discusses ontologies for the semantic web, as well as;

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Ontology Learning from Text

from texts and to give a structured organization to such knowledge, including approaches based on machine learning techniques. Then there are;

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Knowledge Seeker - Ontology Modelling for Information Search and Management

statistics is proposed for automatic learning an Ontology Graph from texts for different domains. Third, it defines an ontology generation method;

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Learning Ontology Relations by Combining Corpus-Based Techniques and Reasoning on Data from Semantic Web Sources

-)automatic ontology generation from input data such as domain text. This thesis proposes a novel approach for learning labels of non-taxonomic;

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Ontology Learning and Knowledge Discovery Using the Web

Ontology Learning and Knowledge Discovery Using the Web: Challenges and Recent Advances provides relevant theoretical foundations, and;

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Biomedical Data Mining Using Machine Learning

sufficient and it is necessary to distinguish between all biological entities they refer to. We derive a set of rules from a biomedical ontology, and;

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Ontology-Based Information Retrieval for Healthcare Systems

ontology-based text mining framework for vulnerability assessment in health and social care An ontology-based multi-agent system for matchmaking;

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Artificial Intelligence

processing, vision, intelligent robotics, multi-agent systems,machine learning, AI in applied systems, and ontology engineering.;

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An Ontology of Time

to automatically extract implicit and vague event durations from text.;

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Fundamentals of Ontological Commitment

a red thread between the various proposals. This text is an opinionated introduction, a preliminary text to research in ontology from the;

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Introduction to Bio-Ontologies

Phenotype Ontology, and Human Phenotype Ontology. The third part of the text introduces the major graph-based algorithms for bio-ontologies;

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Introduction to Bio-Ontologies

surrounding bio-ontologies, this self-contained text helps readers understand ontological algorithms and their applications. The first part of the;

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Knowledge Engineering, Machine Learning and Lattice Computing with Applications

selected from 130 submissions. The papers are organized in topical sections on bioinspired and machine learning methods, machine learning;

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Human Population Genetics

, Human Population Genetics gives basic background on the mechanisms of human microevolution. This text combines mathematics, biology, and;

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Semantic Web Technologies

use of ontologies and metadata to achieve machine-interpretability. * Describes methods for ontology learning and metadata generation;

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Contributions to Social Ontology

Recent years have seen a dramatic re-emergence of interest in ontology. From philosophy and social sciences to artificial intelligence and;

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World Of Psychology

changing needs of today's diverse student population. Students and instructors will benefit from exciting enhancements in content, pedagogy, and;

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Contributions to Social Ontology

Recent years have seen a dramatic re-emergence of interest in ontology. From philosophy and social sciences to artificial intelligence and;

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Conceptual Modeling

, Sweden, in October 2015. The 26 full and 19 short papers presented were carefully reviewed and selected from 131 submissions. The papers are;

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Ontology Engineering

years at the Semantic Technology Conference and then later from a semester-long university class. The book can serve as a course textbook or a;

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Social Ontology, Normativity and Law

normativity from the perspective of social ontology and the philosophy of law.;

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Metaphysics

The presented text offers a basic overview of the terms and topics of the very wide philosophical discipline called metaphysics. The text;

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Population-Based Nursing

improve population outcomes. The text also examines value-based care and the use of technology, data, and information systems in population health;

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Text Comprehension And Learning

This book deals with the significance of different text structures and its cognitive processing in learning from texts. It discusses the;

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Introduction To Population Genetics

For upper level undergraduate or beginning graduate courses in Population Genetics. This text provides an introduction and essential;

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Ontology-based Application Integration

Ontology-based Application Integration introduces UI-level (User Interface Level) application integration and discusses current problems;

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Semantic Systems. The Power of AI and Knowledge Graphs

in Karlsruhe, Germany, in September 2019. The 20 full papers and 8 short papers presented in this volume were carefully reviewed and selected from 88;

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