Search (9 results, page 1 of 1)

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Abstract

Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical Natural Language Processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools. It provides broad but rigorous coverage of mathematical and linguistic foundations, as well as detailed discussion of statistical methods, allowing students and researchers to construct their own implementations. The book covers collocation finding, word sense disambiguation, probabilistic parsing, information retrieval, and other applications.

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Series

Advanced information and knowledge processing

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Date

5.11.2017 9:36:29

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Abstract

For courses in Expert Systems, Knowledge-Based Systems, Artificial Intelligence or Decision Support Systems, this book embodies the fact that expert systems now extend beyond the field of computer science into such areas as engineering and business. It offers a comprehensive understanding of expert systems and shows their application to real world problems. The material is presented in such a way that the student needs no previous experience in computers or computer programming. The book addresses all of the topics necessary to understand, build, validate, and implement expert systems - with many examples, exercises, and problems. A working version of EXSYS - a microcomputer-based expert systems software program - is packaged with the text.

LCSH

Expert systems (Computer science)

Subject

Expert systems (Computer science)

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LCSH

Expert systems (Computer science) / Industrial applications / Congresses

Series

Lecture notes in computer science ; Vol. 2718 : Lecture notes in artificial intelligence

Subject

Expert systems (Computer science) / Industrial applications / Congresses

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LCSH

Expert systems (Computer science)

Subject

Expert systems (Computer science)

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Series

Advances in information systems and management science; 10

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Series

Advances in information systems and management science; 10

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Abstract

Metadata research has emerged as a discipline cross-cutting many domains, focused on the provision of distributed descriptions (often called annotations) to Web resources or applications. Such associated descriptions are supposed to serve as a foundation for advanced services in many application areas, including search and location, personalization, federation of repositories and automated delivery of information. Indeed, the Semantic Web is in itself a concrete technological framework for ontology-based metadata. For example, Web-based social networking requires metadata describing people and their interrelations, and large databases with biological information use complex and detailed metadata schemas for more precise and informed search strategies. There is a wide diversity in the languages and idioms used for providing meta-descriptions, from simple structured text in metadata schemas to formal annotations using ontologies, and the technologies for storing, sharing and exploiting meta-descriptions are also diverse and evolve rapidly. In addition, there is a proliferation of schemas and standards related to metadata, resulting in a complex and moving technological landscape - hence, the need for specialized knowledge and skills in this area. The Handbook of Metadata, Semantics and Ontologies is intended as an authoritative reference for students, practitioners and researchers, serving as a roadmap for the variety of metadata schemas and ontologies available in a number of key domain areas, including culture, biology, education, healthcare, engineering and library science.