Exploring a natural language interface as an alternative to the limited graphical kind used by most software applications, this guide will help developers build more versatile, easy-to-operate programs that let users communicate with their computers using everyday English.
The advent of computer aided design and the proliferation of computer aided design tools have been instrumental in furthering the state-of-the art in integrated circuitry. Continuing this progress, however, demands an emphasis on creating user-friendly environments that facilitate the interaction between the designer and the CAD tool. The realization of this fact has prompted investigations into the appropriateness for CAD of a number of user-interface technologies. One type of interface that has hitherto not been considered is the natural language interface. It is our contention that natural language interfaces could solve many of the problems posed by the increasing number and sophistication of CAD tools. This thesis represents the first step in a research effort directed towards the eventual development of a natural language interface for the domain of computer aided design. The breadth and complexity of the CAD domain renders the task of developing a natural language interface for the complete domain beyond the scope of a single doctoral thesis. Hence, we have initally focussed on a sub-domain of CAD. Specifically, we have developed a natural language interface, named Cleopatra, for circuit-simulation post-processing. In other words, with Cleopatra a circuit-designer can extract and manipulate, in English, values from the output of a circuit-simulator (currently SPICE) without manually having to go through the output files produced by the simulator.
Release on 2018-08-13 | by Yunyao Li,Davood Rafiei
Author: Yunyao Li,Davood Rafiei
Pubpsher: Morgan & Claypool Publishers
The volume of natural language text data has been rapidly increasing over the past two decades, due to factors such as the growth of the Web, the low cost associated with publishing, and the progress on the digitization of printed texts. This growth combined with the proliferation of natural language systems for search and retrieving information provides tremendous opportunities for studying some of the areas where database systems and natural language processing systems overlap. This book explores two interrelated and important areas of overlap: (1) managing natural language data and (2) developing natural language interfaces to databases. It presents relevant concepts and research questions, state-of-the-art methods, related systems, and research opportunities and challenges covering both areas. Relevant topics discussed on natural language data management include data models, data sources, queries, storage and indexing, and transforming natural language text. Under natural language interfaces, it presents the anatomy of these interfaces to databases, the challenges related to query understanding and query translation, and relevant aspects of user interactions. Each of the challenges is covered in a systematic way: first starting with a quick overview of the topics, followed by a comprehensive view of recent techniques that have been proposed to address the challenge along with illustrative examples. It also reviews some notable systems in details in terms of how they address different challenges and their contributions. Finally, it discusses open challenges and opportunities for natural language management and interfaces. The goal of this book is to provide an introduction to the methods, problems, and solutions that are used in managing natural language data and building natural language interfaces to databases. It serves as a starting point for readers who are interested in pursuing additional work on these exciting topics in both academic and industrial environments.
Release on 2013-04-17 | by Rita de Caluwe,Guy De Tré,Gloria Bordogna
Flexible Querying and Reasoning
Author: Rita de Caluwe,Guy De Tré,Gloria Bordogna
Pubpsher: Springer Science & Business Media
Spatio-Temporal Databases explores recent trends in flexible querying and reasoning about time- and space-related information in databases. It shows how flexible querying enhances standard querying expressiveness in many different ways, with the aim of facilitating extraction of relevant data and information. Flexible spatial and temporal reasoning denotes qualitative reasoning about dynamic changes in the spatial domain, characterized by imprecision or uncertainty (or both). Many of the contributions focus on GIS, while some others are more general, or focus on related application fields, presenting theoretical viewpoints and techniques that are inspiring or can be adapted for GIS. The first part bundles the contributions on advances at the theoretical level, also discussing examples and opening further perspectives. The second part presents contributions on well-developed applications. The authors explain how to handle imprecision and uncertainty, demonstrating how advanced techniques can help to solve diverse problems related to GIS.
Proceedings of the November 1994 conference on technical aspects of specifying, designing, implementing, and evaluating tools with artificial intelligence and tools for artificial intelligence applications. Papers cover topics such as machine, computational, and uncertainty learning, fuzzy logic, kn
Release on 2014-07-05 | by Xiaolong Zheng,Daniel Zeng,Hsinchun Chen,Yong Zhang,Chunxiao Xing,Daniel B. Neill
International Conference, ICSH 2014, Beijing, China, July 10-11, 2014. Proceedings
Author: Xiaolong Zheng,Daniel Zeng,Hsinchun Chen,Yong Zhang,Chunxiao Xing,Daniel B. Neill
This book constitutes the refereed proceedings of the International Conference for Smart Health, ICSH 2014, held in Beijing, China, in July 2014. The 21 papers presented together with 4 extended abstracts were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on information sharing, integrating and extraction; health data analysis and management; clinical and medical data mining; and clinical practice and medical monitoring.
Accepting that information professionals need to learn both traditional and computerized information retrieval techniques, this book aims to provide students with a comprehensive view of information retrieval. It covers: classification, cataloguing, subject indexing, abstracting and vocabulary control; CD-ROM and online information retrieval, multimedia; hypertext and hypermedia; expert systems and natural language processing techniques; knowledge-based natural language, text processing and user interface systems; and information retrieval in the context of the Internet, the World Wide Web, and the digital library environment.