Natural Language Access to Public Administration Data: The TAMIC-P System

The main goal of the TAMIC-P project is to demonstrate the opportunities offered by the use of Natural Language Processing technologies in the human-machine interaction, in particular related to data access in complex environments. The Natural Language interface has been proposed as a modality of access complementary to other techniques, such as graphical interfaces. It shows its power when used in scenarios characterised by a relevant number of distributed information sources, in which current interfaces do not offer appropriate solutions to the complexity of data handling, and often generate difficulties in navigation. These problems turn out to become even more critical in the presence of not skilled users, having low technical knowledge. Using Natural Language, as normally used between persons for communicating, reduces the skill requirements and enhances the system usability. The evaluation tests performed on the TAMIC-P system confirm this point, showing that upon just a short training, a non-skilled operator is able to operate with effectiveness.

[1]  Philip R. Cohen The role of natural language in a multimodal interface , 1992, UIST '92.

[2]  Carlo Strapparava,et al.  Natural Language Interpretation for Public Administration Database Querying in the TAMIC Demonstrator , 1996 .

[3]  Oliviero Stock,et al.  ALFRESCO: Enjoying the Combination of Natural Language Processing and Hypermedia for Information Exploration , 1991, AAAI Workshop on Intelligent Multimedia Interfaces.

[4]  R. P. van de Riet,et al.  Applications of Natural Language to Information Systems , 1996 .

[5]  George A. Miller,et al.  Introduction to WordNet: An On-line Lexical Database , 1990 .

[6]  H. Alshawi,et al.  The Core Language Engine , 1994 .

[7]  Douglas E. Appelt,et al.  TEAM: An Experiment in the Design of Transportable Natural-Language Interfaces , 1987, Artif. Intell..

[8]  Ben Shneiderman,et al.  Designing the user interface (2nd ed.): strategies for effective human-computer interaction , 1992 .

[9]  Larry R. Harris Experience with INTELLECT: Artificial Intelligence Technology Transfer , 1984, AI Mag..

[10]  Carlo Strapparava,et al.  Explorations in an environment for natural language multimodal information access , 1997 .

[11]  B. Schneiderman,et al.  Designing the User Interface. Strategies for Effective Human-Computer Interaction , 1992 .

[12]  Peter P. Chen The entity-relationship model: toward a unified view of data , 1975, VLDB '75.

[13]  Mark T. Maybury,et al.  Intelligent multimedia interfaces , 1994, CHI Conference Companion.

[14]  Donald A. Norman,et al.  User Centered System Design: New Perspectives on Human-Computer Interaction , 1988 .

[15]  Jakob Nielsen,et al.  Usability engineering , 1997, The Computer Science and Engineering Handbook.

[16]  Peter Thanisch,et al.  Natural language interfaces to databases – an introduction , 1995, Natural Language Engineering.

[17]  Philip R. Cohen,et al.  Synergistic use of direct manipulation and natural language , 1989, CHI '89.

[18]  Stephen G. Pulman,et al.  CLARE: A Contextual Reasoning and Cooperative Response Framework for the Core Language Engine , 1994, ArXiv.

[19]  Philip Resnik Access to Multiple Underlying Systems in Janus , 1989 .

[20]  David Stallard,et al.  The IRUS Transportable Natural Language Database Interface , 1984, Expert Database Workshop.