A comprehensive theory-based approach to the treatment of text meaning in natural language processing applications.
In Ontological Semantics, Sergei Nirenburg and Victor Raskin introduce a comprehensive approach to the treatment of text meaning by computer. Arguing that being able to use meaning is crucial to the success of natural language processing (NLP) applications, they depart from the ad hoc approach to meaning taken by much of the NLP community and propose theory-based semantic methods. Ontological semantics, an integrated complex of theories, methodologies, descriptions, and implementations, attempts to systematize ideas about both semantic description as representation and manipulation of meaning by computer programs. It is built on already coordinated "microtheories" covering such diverse areas as specific language phenomena, processing heuristics, and implementation system architecture rather than on isolated components requiring future integration. Ontological semantics is constantly evolving, driven by the need to make meaning manipulation tasks such as text analysis and text generation work. Nirenburg and Raskin have therefore developed a set of heterogeneous methods suited to a particular task and coordinated at the level of knowledge acquisition and runtime system architecture implementations, a methodology that also allows for a variable level of automation in all its processes.Nirenburg and Raskin first discuss ontological semantics in relation to other fields, including cognitive science and the AI paradigm, the philosophy of science, linguistic semantics and the philosophy of language, computational lexical semantics, and studies in formal ontology. They then describe the content of ontological semantics, discussing text-meaning representation, static knowledge sources (including the ontology, the fact repository, and the lexicon), the processes involved in text analysis, and the acquisition of static knowledge.
"synopsis" may belong to another edition of this title.
Sergei Nirenburg is Professor of Computer Science and Electrical Engineering at University of Maryland, Baltimore County.
Victor Raskin is Professor of English and Linguistics at Purdue University.
"About this title" may belong to another edition of this title.
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Hardback. Condition: Good. A comprehensive theory-based approach to the treatment of text meaning in natural language processing applications.In>Ontological Semantics, Sergei Nirenburg and Victor Raskin introduce a comprehensive approach to the treatment of text meaning by computer. Arguing that being able to use meaning is crucial to the success of natural language processing (NLP) applications, they depart from the ad hoc approach to meaning taken by much of the NLP community and propose theory-based semantic methods. Ontological semantics, an integrated complex of theories, methodologies, descriptions, and implementations, attempts to systematize ideas about both semantic description as representation and manipulation of meaning by computer programs. It is built on already coordinated microtheories covering such diverse areas as specific language phenomena, processing heuristics, and implementation system architecture rather than on isolated components requiring future integration. Ontological semantics is constantly evolving, driven by the need to make meaning manipulation tasks such as text analysis and text generation work. Nirenburg and Raskin have therefore developed a set of heterogeneous methods suited to a particular task and coordinated at the level of knowledge acquisition and runtime system architecture implementations, a methodology that also allows for a variable level of automation in all its processes.Nirenburg and Raskin first discuss ontological semantics in relation to other fields, including cognitive science and the AI paradigm, the philosophy of science, linguistic semantics and the philosophy of language, computational lexical semantics, and studies in formal ontology. They then describe the content of ontological semantics, discussing text-meaning representation, static knowledge sources (including the ontology, the fact repository, and the lexicon), the processes involved in text analysis, and the acquisition of static knowledge. Seller Inventory # 00110092063
Seller: World of Books Inc, Montgomery, IL, U.S.A.
Hardback. Condition: Good. A comprehensive theory-based approach to the treatment of text meaning in natural language processing applications.In>Ontological Semantics, Sergei Nirenburg and Victor Raskin introduce a comprehensive approach to the treatment of text meaning by computer. Arguing that being able to use meaning is crucial to the success of natural language processing (NLP) applications, they depart from the ad hoc approach to meaning taken by much of the NLP community and propose theory-based semantic methods. Ontological semantics, an integrated complex of theories, methodologies, descriptions, and implementations, attempts to systematize ideas about both semantic description as representation and manipulation of meaning by computer programs. It is built on already coordinated microtheories covering such diverse areas as specific language phenomena, processing heuristics, and implementation system architecture rather than on isolated components requiring future integration. Ontological semantics is constantly evolving, driven by the need to make meaning manipulation tasks such as text analysis and text generation work. Nirenburg and Raskin have therefore developed a set of heterogeneous methods suited to a particular task and coordinated at the level of knowledge acquisition and runtime system architecture implementations, a methodology that also allows for a variable level of automation in all its processes.Nirenburg and Raskin first discuss ontological semantics in relation to other fields, including cognitive science and the AI paradigm, the philosophy of science, linguistic semantics and the philosophy of language, computational lexical semantics, and studies in formal ontology. They then describe the content of ontological semantics, discussing text-meaning representation, static knowledge sources (including the ontology, the fact repository, and the lexicon), the processes involved in text analysis, and the acquisition of static knowledge. Seller Inventory # CIN0262140861G
Seller: HPB-Red, Dallas, TX, U.S.A.
hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Seller Inventory # S_383991044
Seller: Heisenbooks, Fairless Hills, PA, U.S.A.
hardcover. Condition: Very Good. Seller Inventory # pnj-lz-vg-155486
Seller: books4less (Versandantiquariat Petra Gros GmbH & Co. KG), Welling, Germany
gebundene Ausgabe. Condition: Gut. 420 Seiten Das hier angebotene Buch stammt aus einer teilaufgelösten wissenschaftlichen Bibliothek und trägt die entsprechenden Kennzeichnungen (Rückenschild, Instituts-Stempel.); Schnitt und Einband sind leicht staubschmutzig; der Buchzustand ist ansonsten ordentlich und dem Alter entsprechend gut. ENGLISCH. Sprache: Englisch Gewicht in Gramm: 900. Seller Inventory # 1725404
Seller: Snowden's Books, Santa Fe, NM, U.S.A.
Hardcover. Condition: Very Good. Dust Jacket Condition: Very Good. Original hardcover in jacket, 420 pages, index, book is solid and bright. Light bumping to top corners; some mild wear from reference and age. Jacket has fading along spine; light wear. r2b2. Seller Inventory # ABE-1766382048574
Seller: BennettBooksLtd, Los Angeles, CA, U.S.A.
hardcover. Condition: New. In shrink wrap. Looks like an interesting title! Seller Inventory # Q-0262140861