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Semantic Similarity from Natural Language and Ontology Analysis

of semantic entities are presented in detail: the first one relies on corpora analysis and is based on Natural Language Processing techniques and;

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Natural Language Processing

natural language processing in IT and web systems, describing semantic analysis of natural language queries for an object oriented database;

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

ontology relations. It combines corpus-based techniques with reasoning on Semantic Web data. Corpus-based methods apply vector space similarity;

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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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Semantic Web Technologies

The Semantic Web combines the descriptive languages RDF (Resource Description Framework) and OWL (Web Ontology Language), with the data;

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Introduction to Bio-Ontologies

. The authors discuss how these algorithms are used in overrepresentation analysis, model-based procedures, semantic similarity analysis, and;

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Introduction to Bio-Ontologies

these algorithms are used in overrepresentation analysis, model-based procedures, semantic similarity analysis, and Bayesian networks for;

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Natural Language Processing for the Semantic Web

. Natural language processing and Semantic Web technologies have different, but complementary roles in data management. Combining these two;

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Natural Language Processing for the Semantic Web

. Natural language processing and Semantic Web technologies have different, but complementary roles in data management. Combining these two;

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Knowledge Graphs and Semantic Web

wide research fields including artificial intelligence; knowledge representation and reasoning; ontology engineering; natural language;

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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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Recent Advances in NLP

In light of the rapid rise of new trends and applications in various natural language processing tasks, this book presents high-quality;

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An Ontology of Time

of temporal information is necessarily required for a large group of applications, including the Semantic Web and natural language. In response to;

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Recent Advances in NLP The Case of Arabic Language

In light of the rapid rise of new trends and applications in various natural language processing tasks, this book presents high-quality;

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Ontology-Based Interpretation of Natural Language

granularity is not driven by language but by the semantic distinctions made in the underlying ontology and thus by distinctions that are relevant;

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The Semantic Web ISWC 2015

The two-volume set LNCS 9366 and 9367 constitutes the refereed proceedings of the 14th International Semantic Web Conference, ISWC 2015;

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The Semantic Web ISWC 2015

The two-volume set LNCS 9366 and 9367 constitutes the refereed proceedings of the 14th International Semantic Web Conference, ISWC 2015;

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Description of Logic Framework to Synchronize Orm Model and Owl Langua

Ontology engineering is gaining a lot of focus due to the rapid technological development including the emergence of semantic web;

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Ontology-Based Interpretation of Natural Language

granularity is not driven by language but by the semantic distinctions made in the underlying ontology and thus by distinctions that are relevant;

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Ontological Semantics

, linguistic semantics and the philosophy of language, computational lexical semantics, and studies in formal ontology. They then describe the content;

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Integration of NLP Search with I-SOAS

This monograph is mainly about to discuss the research and development have been performed to attain the goal of implementing a natural;

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The Ontology of Language

How can the meaning of language be represented by formal logic? Similar research regarding the semantics of natural language has;

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Knowledge Seeker - Ontology Modelling for Information Search and Management

text classification system, ontological agent system, and semantic web system etc. The Knowledge Seeker contains four different ontological;

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Sentic Computing

In this book common sense computing techniques are further developed and applied to bridge the semantic gap between word-level natural;

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Natural Language Processing and Information Systems

selected from 68 submissions. The papers are organized in the following topical sections: semantic analysis; question answering and answer;

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