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Author: Chu-ren Huang
Publisher: Cambridge University Press
ISBN: 0521886597
Category : Computers
Languages : en
Pages : 361
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Book Description
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
ISBN: 0521886597
Category : Computers
Languages : en
Pages : 361
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Book Description
An edited collection focusing on the technology involved in enabling integration between lexical resources and semantic technologies.
Author: Sergei Nirenburg
Publisher: MIT Press
ISBN: 9780262140867
Category : Computers
Languages : en
Pages : 458
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Book Description
A comprehensive theory-based approach to the treatment of text meaning in natural language processing applications.
Author: Mark A. Wrathall
Publisher: Cambridge University Press
ISBN: 1108640834
Category : Philosophy
Languages : en
Pages : 1605
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Book Description
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: Philipp Cimiano
Publisher: Springer Nature
ISBN: 3031021541
Category : Computers
Languages : en
Pages : 158
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Book Description
For humans, understanding a natural language sentence or discourse is so effortless that we hardly ever think about it. For machines, however, the task of interpreting natural language, especially grasping meaning beyond the literal content, has proven extremely difficult and requires a large amount of background knowledge. This book focuses on the interpretation of natural language with respect to specific domain knowledge captured in ontologies. The main contribution is an approach that puts ontologies at the center of the interpretation process. This means that ontologies not only provide a formalization of domain knowledge necessary for interpretation but also support and guide the construction of meaning representations. We start with an introduction to ontologies and demonstrate how linguistic information can be attached to them by means of the ontology lexicon model lemon. These lexica then serve as basis for the automatic generation of grammars, which we use to compositionally construct meaning representations that conform with the vocabulary of an underlying ontology. As a result, the level of representational granularity is not driven by language but by the semantic distinctions made in the underlying ontology and thus by distinctions that are relevant in the context of a particular domain. We highlight some of the challenges involved in the construction of ontology-based meaning representations, and show how ontologies can be exploited for ambiguity resolution and the interpretation of temporal expressions. Finally, we present a question answering system that combines all tools and techniques introduced throughout the book in a real-world application, and sketch how the presented approach can scale to larger, multi-domain scenarios in the context of the Semantic Web. Table of Contents: List of Figures / Preface / Acknowledgments / Introduction / Ontologies / Linguistic Formalisms / Ontology Lexica / Grammar Generation / Putting Everything Together / Ontological Reasoning for Ambiguity Resolution / Temporal Interpretation / Ontology-Based Interpretation for Question Answering / Conclusion / Bibliography / Authors' Biographies
Author: Guoxiang Wu
Publisher: Routledge
ISBN: 9780367661816
Category :
Languages : en
Pages : 234
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Book Description
Lexical Ontological Semantics introduces ontological methods into lexical semantic studies with the aim of giving impetus to various fields of endeavours which envision and model the semantic network of a language. Lexical ontological semantics (LOS) provides a cognition-based computation-oriented framework in which nouns and predicates are described in terms of their semantic knowledge and models the mechanism in which the noun system is coupled with the predicate system. It expands the scope of lexical semantics, updates methodologies to semantic representation, guides the construction of semantic resources for natural language processing, and develops new theories for human-machine interactions and communications.
Author: Jérôme Euzenat
Publisher: Springer Science & Business Media
ISBN: 3642387217
Category : Computers
Languages : en
Pages : 512
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Book Description
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: Philipp Cimiano
Publisher: Springer Nature
ISBN: 3030302253
Category : Computers
Languages : en
Pages : 289
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Book Description
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.
Author: Steffen Staab
Publisher: Springer Science & Business Media
ISBN: 3540247505
Category : Computers
Languages : en
Pages : 661
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Book Description
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: Abby Covert
Publisher: Createspace Independent Publishing Platform
ISBN: 9781500615994
Category : Information organization
Languages : en
Pages : 0
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Book Description
Everything is getting more complex. It is easy to be overwhelmed by the amount of information we encounter each day. Whether at work, at school, or in our personal endeavors, there's a deepening (and inescapable) need for people to work with and understand information. Information architecture is the way that we arrange the parts of something to make it understandable as a whole. When we make things for others to use, the architecture of information that we choose greatly affects our ability to deliver our intended message to our users.We all face messes made of information and people. This book defines the word "mess" the same way that most dictionaries do: "A situation where the interactions between people and information are confusing or full of difficulties." - Who doesn't bump up against messes made of information and people every day? How to Make Sense of Any Mess provides a seven step process for making sense of any mess. Each chapter contains a set of lessons as well as workbook exercises architected to help you to work through your own mess.
Author: Vishal Jain
Publisher: John Wiley & Sons
ISBN: 1119641381
Category : Computers
Languages : en
Pages : 384
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Book Description
With the advancements of semantic web, ontology has become the crucial mechanism for representing concepts in various domains. For research and dispersal of customized healthcare services, a major challenge is to efficiently retrieve and analyze individual patient data from a large volume of heterogeneous data over a long time span. This requirement demands effective ontology-based information retrieval approaches for clinical information systems so that the pertinent information can be mined from large amount of distributed data. This unique and groundbreaking book highlights the key advances in ontology-based information retrieval techniques being applied in the healthcare domain and covers the following areas: Semantic data integration in e-health care systems Keyword-based medical information retrieval Ontology-based query retrieval support for e-health implementation Ontologies as a database management system technology for medical information retrieval Information integration using contextual knowledge and ontology merging Collaborative ontology-based information indexing and retrieval in health informatics An ontology-based text mining framework for vulnerability assessment in health and social care An ontology-based multi-agent system for matchmaking patient healthcare monitoring A multi-agent system for querying heterogeneous data sources with ontologies for reducing cost of customized healthcare systems A methodology for ontology based multi agent systems development Ontology based systems for clinical systems: validity, ethics and regulation
