tailieunhanh - Báo cáo khoa học: "KNOWLEDGE ORGANIZATION AND APPLICATION: BRIEF COMIIENTS OF PAPERS IN THE SESSION "

Hence, i t is quite possible that some of the comments may turn out to be inappropriate or else they have already been taken care of in the f u l l texts. In a couple of cases~ I had the benefit of reading some e a r l i e r longer related reports, which were very helpful. All the papers (except by Sangster) deal with either knowledge representation, particular types of knowledge to be represented, or how certain types of knowledge are to be used. | KNOWLEDGE ORGANIZATION AND APPLICATION BRIEF COMMENTS ON PAPERS IN THE SESSION Aravind K. Joshi Department of Computer and Information Science The Moore School University of Pennsylvania Philadelphia PA 19104 Comments My brief comments on the papers in this session are based on the abstracts available to me and not on the complete papers. Hence it is quite possible that some of the comments may turn out to be inappropriate or else they have already been taken care of in the full texts. In a couple of cases. I had the benefit of reading some earlier longer related reports which were very helpful. All the papers except by Sangster deal with either knowledge representation particular types of knowledge to be represented or how certain types of knowledge are to be used. Brackman describes a lattice-like structured inheritance network KLONE as a language for explicit representation of natural language conceptual information. Multiple descriptions can be represented. How does the facility differ from a similar one in KRL Belief representations appear to be only implicit. Quantification is handled through a set of structural descriptions. It is not clear how negation is handled. The main application is for the command and control of advanced graphics manipulators through natural language. Is there an implicit claim here that the KLONE representations are suitable for both natural language concepts as well as for those in the visual domain Sowa also presents a network like representation conceptual graphs . It is a representation that is apparently based on some ideas of Hintikka on incomplete but extensible models called surface models. Sowa also uses some ideas of graph grammars. It is not clear how multiple descriptions and beliefs can be represented in this framework. Perhaps the detailed paper will clarify some of these issues. This paper does not describe any application. Sangster s paper is not concerned-directly with knowledge representation. It is concerned with .

• Báo cáo khoa học
• KNOWLEDGE ORGANIZATION AND APPLICATION
• BRIEF COMIIENTS
• PAPERS IN THE SESSION
• scientific reports
• model language
• process natural language
• Dialog Control
• Natural Language System
• Dialog Control in a Natural Language System
• Expanding the Horizons
• Natural Language Interfaces
• Phil Hayes
• PROSPECTS OR PRACTICAL
• NATURAL LANGUAGE SYSTEMS
• Workshops
• NATURAL LANGUAGE
• INTERACTION WITH MACHINES
• Long Papers
• COMPUTER INTEBFACE DESIGN MURRAY TUROFF DEPARTMENT OF COMPUTER
• IiVFORMATION SCIENCE IIEW JERSEY INSTITUTE OF TECHNOLOGY
• EVALUATION OF NATURAL LANGUAGE
• INTERFACES TO DATABASE SYSTEMS
• A PANEL DISCUSSION
• database query system
• J
• Norwood Crout
• INTERFACES TO DATA BASE SYSTEMS
• Bozena Henisz
• INTERPRETING NATURAL LANGUAGE
• DATABASE UPDATES
• S
• Jermld Kaplan Jim David
• TRANSPORTABLE NATURAL LANGUAGE
• INTERFACES TO DATABASES
• Gary G
• Hendrlx and William H
• Lewis
• DATABASES THEORETICAL
• TECHNICAL ISSUES
• TRANSPORTABLE NATURAL LANGUAGE INTERFACES
• PROBLEMS AND TECHNIQUES
• Barbara J
• Grosz
• THEORETICAL TECHNICAL ISSUES
• NATURAL LANGUAGE ACCESS TO DATABASES
• R
• Petrick
• Domain Independent
• Database Access Systems
• ISSUES IN NATURAL LANGUAGE
• ACCESS TO DATABASES
• A LOGIC PROGRAMMING PERSPECTIVE
• Sharon C
• Salveter David Maier
• PLANNING NATURAL LANGUAGE
• EXPRESSIONS REFERRING
• Douglas E
• Appelt
• THE TEXT SYSTEM
• NATURAL LANGUAGE GENERATION
• Kathleen R
• M
• MENTING A DATABASE
• KNOWLEDGE REPRESENTATION
• THE KEY TO THE SELECTION PROBLEM
• E
• Jeffrey Conklin David D
• McDonald
• A KNOWLEDGE ENGINEERING
• NATURAL LANGUAGE UNDERSTANDING
• Stuart C
• Shapiro
• NATURAL LANGUAGE TEXTS
• NECESSARILY GRAMMATICAL
• EVEN COMPLETE
• UNGRAMHATICALITY
• EXTRA GRAMMATICALITY
• NATURAL LANGUAGE UNDERSTANDING SYSTEMS
• Taxonomy
• Descriptions
• Individuals in Natural
• Language Understanding
• The Use of Ooject Special Knowledge
• Natural Language Processing
• Mark H
• Bursteln