Ebook: New Trends of Research in Ontologies and Lexical Resources: Ideas, Projects, Systems
- Tags: Data Mining and Knowledge Discovery, Applications of Mathematics, Computational Linguistics, Ontology, User Interfaces and Human Computer Interaction
- Series: Theory and Applications of Natural Language Processing
- Year: 2013
- Publisher: Springer-Verlag Berlin Heidelberg
- Edition: 1
- Language: English
- pdf
In order to exchange knowledge, humans need to share a common lexicon of words as well as
to access the world models underlying that lexicon. What is a natural process for a human turns out to be an extremely hard task for a machine: computers can’t represent knowledge as effectively as humans do, which hampers, for example, meaning disambiguation and communication. Applied ontologies and NLP have been developed to face these challenges. Integrating ontologies with (possibly multilingual) lexical resources is an essential requirement to make human language understandable by machines, and also to enable interoperability and computability across information systems and, ultimately, in the Web.
This book explores recent advances in the integration of ontologies and lexical resources, including questions such as building the required infrastructure (e.g., the Semantic Web) and different formalisms, methods and platforms for eliciting, analyzing and encoding knowledge contents (e.g., multimedia, emotions, events, etc.). The contributors look towards next-generation technologies, shifting the focus from the state of the art to the future of Ontologies and Lexical Resources. This work will be of interest to research scientists, graduate students, and professionals in the fields of knowledge engineering, computational linguistics, and semantic technologies.
In order to exchange knowledge, humans need to share a common lexicon of words as well as
to access the world models underlying that lexicon. What is a natural process for a human turns out to be an extremely hard task for a machine: computers can’t represent knowledge as effectively as humans do, which hampers, for example, meaning disambiguation and communication. Applied ontologies and NLP have been developed to face these challenges. Integrating ontologies with (possibly multilingual) lexical resources is an essential requirement to make human language understandable by machines, and also to enable interoperability and computability across information systems and, ultimately, in the Web.
This book explores recent advances in the integration of ontologies and lexical resources, including questions such as building the required infrastructure (e.g., the Semantic Web) and different formalisms, methods and platforms for eliciting, analyzing and encoding knowledge contents (e.g., multimedia, emotions, events, etc.). The contributors look towards next-generation technologies, shifting the focus from the state of the art to the future of Ontologies and Lexical Resources. This work will be of interest to research scientists, graduate students, and professionals in the fields of knowledge engineering, computational linguistics, and semantic technologies.
In order to exchange knowledge, humans need to share a common lexicon of words as well as
to access the world models underlying that lexicon. What is a natural process for a human turns out to be an extremely hard task for a machine: computers can’t represent knowledge as effectively as humans do, which hampers, for example, meaning disambiguation and communication. Applied ontologies and NLP have been developed to face these challenges. Integrating ontologies with (possibly multilingual) lexical resources is an essential requirement to make human language understandable by machines, and also to enable interoperability and computability across information systems and, ultimately, in the Web.
This book explores recent advances in the integration of ontologies and lexical resources, including questions such as building the required infrastructure (e.g., the Semantic Web) and different formalisms, methods and platforms for eliciting, analyzing and encoding knowledge contents (e.g., multimedia, emotions, events, etc.). The contributors look towards next-generation technologies, shifting the focus from the state of the art to the future of Ontologies and Lexical Resources. This work will be of interest to research scientists, graduate students, and professionals in the fields of knowledge engineering, computational linguistics, and semantic technologies.
Content:
Front Matter....Pages i-xv
Front Matter....Pages 5-5
Towards Open Data for Linguistics: Linguistic Linked Data....Pages 7-25
Establishing Interoperability Between Linguistic and Terminological Ontologies....Pages 27-42
On the Role of Senses in the Ontology-Lexicon....Pages 43-62
Front Matter....Pages 63-63
KYOTO: A Knowledge-Rich Approach to the Interoperable Mining of Events from Text....Pages 65-90
Anchoring Background Knowledge to Rich Multimedia Contexts in the KnowledgeStore ....Pages 91-112
Lexical Mediation for Ontology-Based Annotation of Multimedia....Pages 113-134
Knowledge in Action: Integrating Cognitive Architectures and Ontologies....Pages 135-154
Front Matter....Pages 155-155
Use of Ontology, Lexicon and Fact Repository for Reference Resolution in Ontological Semantics....Pages 157-185
Ontology-Based Semantic Interpretation via Grammar Constraints....Pages 187-207
How Ontology Based Information Retrieval Systems May Benefit from Lexical Text Analysis....Pages 209-231
Front Matter....Pages 233-233
Detecting Implicit Emotion Expressions from Text Using Ontological Resources and Lexical Learning....Pages 235-255
The Agile Clich?: Using Flexible Stereotypes as Building Blocks in the Construction of an Affective Lexicon....Pages 257-275
Introduction....Pages 1-3
Back Matter....Pages 277-282
In order to exchange knowledge, humans need to share a common lexicon of words as well as
to access the world models underlying that lexicon. What is a natural process for a human turns out to be an extremely hard task for a machine: computers can’t represent knowledge as effectively as humans do, which hampers, for example, meaning disambiguation and communication. Applied ontologies and NLP have been developed to face these challenges. Integrating ontologies with (possibly multilingual) lexical resources is an essential requirement to make human language understandable by machines, and also to enable interoperability and computability across information systems and, ultimately, in the Web.
This book explores recent advances in the integration of ontologies and lexical resources, including questions such as building the required infrastructure (e.g., the Semantic Web) and different formalisms, methods and platforms for eliciting, analyzing and encoding knowledge contents (e.g., multimedia, emotions, events, etc.). The contributors look towards next-generation technologies, shifting the focus from the state of the art to the future of Ontologies and Lexical Resources. This work will be of interest to research scientists, graduate students, and professionals in the fields of knowledge engineering, computational linguistics, and semantic technologies.
Content:
Front Matter....Pages i-xv
Front Matter....Pages 5-5
Towards Open Data for Linguistics: Linguistic Linked Data....Pages 7-25
Establishing Interoperability Between Linguistic and Terminological Ontologies....Pages 27-42
On the Role of Senses in the Ontology-Lexicon....Pages 43-62
Front Matter....Pages 63-63
KYOTO: A Knowledge-Rich Approach to the Interoperable Mining of Events from Text....Pages 65-90
Anchoring Background Knowledge to Rich Multimedia Contexts in the KnowledgeStore ....Pages 91-112
Lexical Mediation for Ontology-Based Annotation of Multimedia....Pages 113-134
Knowledge in Action: Integrating Cognitive Architectures and Ontologies....Pages 135-154
Front Matter....Pages 155-155
Use of Ontology, Lexicon and Fact Repository for Reference Resolution in Ontological Semantics....Pages 157-185
Ontology-Based Semantic Interpretation via Grammar Constraints....Pages 187-207
How Ontology Based Information Retrieval Systems May Benefit from Lexical Text Analysis....Pages 209-231
Front Matter....Pages 233-233
Detecting Implicit Emotion Expressions from Text Using Ontological Resources and Lexical Learning....Pages 235-255
The Agile Clich?: Using Flexible Stereotypes as Building Blocks in the Construction of an Affective Lexicon....Pages 257-275
Introduction....Pages 1-3
Back Matter....Pages 277-282
....