By Vladimir Fomichov A.
This e-book examines key matters in designing semantics-oriented normal language (NL) processing platforms. one of many key positive factors is an unique procedure for remodeling the prevailing world-wide-web right into a new iteration Semantic internet (SW-2) and the fundamental formal instruments for its cognizance, that are proposed. The critical distinguishing function of the proposed SW-2 is the well-developed skill of NL processing.
A large conceptual framework for describing established meanings of NL-texts (sentences and arbitrarily advanced discourses) is bought via introducing a mathematical version describing 10 interrelated partial operations on conceptual constructions. a brand new category of formal languages known as normal wisdom languages (SK-languages) is outlined. Readers will be taught those languages and examine a fashion of creating semantic representations utilizing them.
Additionally, a greatly appropriate mathematical version of a linguistic database is built. an invaluable for perform and strongly based multi-lingual set of rules of semantic-syntactic research of NL-texts is defined via unique formal thoughts; the enter texts could be sentences in English, Russian, and German.
With vast use of examples and illustrations to elucidate advanced fabric and show sensible purposes, many ancient and bibliographical notes, end-of-chapter routines, and glossaries, this e-book can function a graduate-level textbook, in addition to an exceptional reference for researchers and practitioners who care for some of the difficulties related to semantics of common language texts, ontologies, Semantic internet, semantic facts integration in e-science, and content material languages in multi-agent platforms, particularly, in e-commerce and e-health.
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Additional info for Semantics-Oriented Natural Language Processing: Mathematical Models and Algorithms
Nevertheless, these and other approaches mentioned in this section possess a number of important shortcomings as concerns applying formal methods to the design of NLPSs and to developing the theory of NLPSs. The demands of diverse application domains to the formal means for describing natural language may differ. That is why we distinguish for further analysis the following groups of application domains: • Natural-language interfaces to databases, knowledge bases, autonomous robots. , in particular, intelligent text summarization systems.
In particular, there are no adequate formal means to describe on semantic level the operations with the sets. It appears that the collection of restrictions stated above provides a useful reference-point for enriching the stock of the means and models for the mathematical study of NL-communication. 7 The Significance of Highly Expressive Formal Systems of Semantic Representations The collection of the tasks faced by the theory of semantics-oriented linguistic processors (LPs) in the beginning of the 1980s proved to be extremely complicated.
A broadly applicable mathematical model of a linguistic database, that is, a model of a collection of semantic-syntactic data associated with primary lexical units and used by the algorithms of semantic-syntactic analysis for building semantic representations of natural language texts (see Chap. 7 of this book). 8. A new method of transforming an NL-text (a statement, a command, or a question) into its semantic representation (see Chap. 8 of this book). 9. Two complex, strongly structured algorithms of semantic-syntactic analysis of NL-texts (they possess numerous common features).