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| Author | : Chu-ren Huang |
| Publisher | : Cambridge University Press |
| Total Pages | : 361 |
| Release | : 2010-04 |
| Genre | : Computers |
| ISBN | : 0521886597 |
An edited collection focusing on the technology involved in enabling integration between lexical resources and semantic technologies.
| Author | : Chu-ren Huang |
| Publisher | : Cambridge University Press |
| Total Pages | : 0 |
| Release | : 2022-12-15 |
| Genre | : Language Arts & Disciplines |
| ISBN | : 9781009342476 |
The relation between ontologies and language is currently at the forefront of natural language processing (NLP). Ontologies, as widely used models in semantic technologies, have much in common with the lexicon. A lexicon organizes words as a conventional inventory of concepts, while an ontology formalizes concepts and their logical relations. A shared lexicon is the prerequisite for knowledge-sharing through language, and a shared ontology is the prerequisite for knowledge-sharing through information technology. In building models of language, computational linguists must be able to accurately map the relations between words and the concepts that they can be linked to. This book focuses on the technology involved in enabling integration between lexical resources and semantic technologies. It will be of interest to researchers and graduate students in NLP, computational linguistics, and knowledge engineering, as well as in semantics, psycholinguistics, lexicology and morphology/syntax.
| Author | : Alessandro Oltramari |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 289 |
| Release | : 2013-02-01 |
| Genre | : Computers |
| ISBN | : 3642317820 |
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.
| Author | : Mark A. Wrathall |
| Publisher | : Cambridge University Press |
| Total Pages | : 1605 |
| Release | : 2021-06-03 |
| Genre | : Philosophy |
| ISBN | : 1108640834 |
Martin Heidegger (1889–1976) was one of the most original thinkers of the twentieth century. His work has profoundly influenced philosophers including Jean-Paul Sartre, Simone de Beauvoir, Maurice Merleau-Ponty, Michel Foucault, Jacques Derrida, Hannah Arendt, Hans-Georg Gadamer, Jürgen Habermas, Charles Taylor, Richard Rorty, Hubert Dreyfus, Stanley Cavell, Emmanuel Levinas, Alain Badiou, and Gilles Deleuze. His accounts of human existence and being and his critique of technology have inspired theorists in fields as diverse as theology, anthropology, sociology, psychology, political science, and the humanities. This Lexicon provides a comprehensive and accessible guide to Heidegger's notoriously obscure vocabulary. Each entry clearly and concisely defines a key term and explores in depth the meaning of each concept, explaining how it fits into Heidegger's broader philosophical project. With over 220 entries written by the world's leading Heidegger experts, this landmark volume will be indispensable for any student or scholar of Heidegger's work.
| Author | : Marco Fasciolo |
| Publisher | : Cambridge Scholars Publishing |
| Total Pages | : 176 |
| Release | : 2019-10-18 |
| Genre | : Language Arts & Disciplines |
| ISBN | : 1527541894 |
This innovative volume proposes an overturning in the study of presuppositions. Beginning with a critical discussion of the most influential approaches, both in linguistics and philosophy, it shows that mainstream debate has not actually studied presuppositions, but rather the means to make presuppositions. In order to overcome this paradox, by relying on systematic and controllable linguistic tests, this text demonstrates that presuppositions trace a curve ranging from natural ontology to the lexicon. At the top of the curve are contents working as presuppositions for the whole human form of life and without the need of any trigger. At the bottom are contents working as presuppositions for the time of a speech act and thanks to some trigger. From this original point of view, this book revisits the classic topics of the debate and offers solid linguistic ground to the elucidation of natural ontology. This makes this volume both challenging and essential reading for researchers and scholars in pragmatics, semantics and philosophy of language.
| Author | : Jérôme Euzenat |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 512 |
| Release | : 2013-11-08 |
| Genre | : Computers |
| ISBN | : 3642387217 |
Ontologies tend to be found everywhere. They are viewed as the silver bullet for many applications, such as database integration, peer-to-peer systems, e-commerce, semantic web services, or social networks. However, in open or evolving systems, such as the semantic web, different parties would, in general, adopt different ontologies. Thus, merely using ontologies, like using XML, does not reduce heterogeneity: it just raises heterogeneity problems to a higher level. Euzenat and Shvaiko’s book is devoted to ontology matching as a solution to the semantic heterogeneity problem faced by computer systems. Ontology matching aims at finding correspondences between semantically related entities of different ontologies. These correspondences may stand for equivalence as well as other relations, such as consequence, subsumption, or disjointness, between ontology entities. Many different matching solutions have been proposed so far from various viewpoints, e.g., databases, information systems, and artificial intelligence. The second edition of Ontology Matching has been thoroughly revised and updated to reflect the most recent advances in this quickly developing area, which resulted in more than 150 pages of new content. In particular, the book includes a new chapter dedicated to the methodology for performing ontology matching. It also covers emerging topics, such as data interlinking, ontology partitioning and pruning, context-based matching, matcher tuning, alignment debugging, and user involvement in matching, to mention a few. More than 100 state-of-the-art matching systems and frameworks were reviewed. With Ontology Matching, researchers and practitioners will find a reference book that presents currently available work in a uniform framework. In particular, the work and the techniques presented in this book can be equally applied to database schema matching, catalog integration, XML schema matching and other related problems. The objectives of the book include presenting (i) the state of the art and (ii) the latest research results in ontology matching by providing a systematic and detailed account of matching techniques and matching systems from theoretical, practical and application perspectives.
| Author | : Sergei Nirenburg |
| Publisher | : MIT Press |
| Total Pages | : 458 |
| Release | : 2004 |
| Genre | : Computers |
| ISBN | : 9780262140867 |
A comprehensive theory-based approach to the treatment of text meaning in natural language processing applications.
| Author | : Steffen Staab |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 661 |
| Release | : 2013-04-17 |
| Genre | : Computers |
| ISBN | : 3540247505 |
An ontology is a description (like a formal specification of a program) of concepts and relationships that can exist for an agent or a community of agents. The concept is important for the purpose of enabling knowledge sharing and reuse. The Handbook on Ontologies provides a comprehensive overview of the current status and future prospectives of the field of ontologies. The handbook demonstrates standards that have been created recently, it surveys methods that have been developed and it shows how to bring both into practice of ontology infrastructures and applications that are the best of their kind.
| Author | : Philipp Cimiano |
| Publisher | : Springer Nature |
| Total Pages | : 286 |
| Release | : 2020-01-13 |
| Genre | : Computers |
| ISBN | : 3030302253 |
This is the first monograph on the emerging area of linguistic linked data. Presenting a combination of background information on linguistic linked data and concrete implementation advice, it introduces and discusses the main benefits of applying linked data (LD) principles to the representation and publication of linguistic resources, arguing that LD does not look at a single resource in isolation but seeks to create a large network of resources that can be used together and uniformly, and so making more of the single resource. The book describes how the LD principles can be applied to modelling language resources. The first part provides the foundation for understanding the remainder of the book, introducing the data models, ontology and query languages used as the basis of the Semantic Web and LD and offering a more detailed overview of the Linguistic Linked Data Cloud. The second part of the book focuses on modelling language resources using LD principles, describing how to model lexical resources using Ontolex-lemon, the lexicon model for ontologies, and how to annotate and address elements of text represented in RDF. It also demonstrates how to model annotations, and how to capture the metadata of language resources. Further, it includes a chapter on representing linguistic categories. In the third part of the book, the authors describe how language resources can be transformed into LD and how links can be inferred and added to the data to increase connectivity and linking between different datasets. They also discuss using LD resources for natural language processing. The last part describes concrete applications of the technologies: representing and linking multilingual wordnets, applications in digital humanities and the discovery of language resources. Given its scope, the book is relevant for researchers and graduate students interested in topics at the crossroads of natural language processing / computational linguistics and the Semantic Web / linked data. It appeals to Semantic Web experts who are not proficient in applying the Semantic Web and LD principles to linguistic data, as well as to computational linguists who are used to working with lexical and linguistic resources wanting to learn about a new paradigm for modelling, publishing and exploiting linguistic resources.
