IR-NLI: (Information Retrieval Natural Language Interface) an Expert Natural Language Interface to Online Data Bases,

Abstract

Constructing natural language interfaces to computer systems often requires achievement of advanced reasoning and expert capabilities in addition to basic natural language understanding. In this paper the above issues are faced in the frame of an actual application concerning the design of a natural language interface for the access to online information retrieval systems. After a short discussion of the peculiarities of this application, which requires both natural language understanding and reasoning capabilities, the general architecture and fundamental design criteria of a system presently being developed at the University of Udine are then presented. The system, named IR-NLI, is aimed at allowing non-technical users to directly access through natural language the services offered by online data bases. Attention is later focused on the basic functions of IR-NLI, namely, understanding and dialogue, strategy generation, and reasoning. Knowledge representation methods and algorithms adopted are also illustrated. A short example of interaction with IR-NLI is presented. Perspectives and directions for future research are also discussed.

Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1983
Accession Number
ADP001164

Entities

People

  • Carlo Tasso
  • Giovanni Guida

Organizations

  • University of Udine

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Databases
  • Design Criteria
  • Formal Languages
  • Information Retrieval
  • Language
  • Natural Language Processing
  • Natural Language Understanding
  • Natural Languages
  • Reasoning

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Artificial Intelligence
  • Life Cycle Cost Analysis

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval
  • AI & ML - Machine Translation