A New approach to natural language interfaces to relational databases the "Mild System". (c1999)

1999 ◽  
Author(s):  
Malda O. Tabbaa
Keyword(s):  
Natural Language ◽  
Relational Databases ◽  
Natural Language Interfaces ◽  
New Approach

Closed Sets of Boolean Terms in Relational Databases

1991 ◽  
Vol 14 (3) ◽  
pp. 367-385
Author(s):  
Andrzej Jankowski ◽  
Zbigniew Michalewicz
Keyword(s):  
Computational Complexity ◽  
Incomplete Information ◽  
Relational Databases ◽  
The Other ◽  
New Approach ◽  
Closed Sets ◽  
Null Value ◽  
Algebraic Operations

A number of approaches have been taken to represent compound, structured values in relational databases. We review a few such approaches and discuss a new approach, in which every set is represented as a Boolean term. We show that this approach generalizes the other approaches, leading to more flexible representation. Boolean term representation seems to be appropriate in handling incomplete information: this approach generalizes some other approaches (e.g. null value mark, null variables, etc). We consider definitions of algebraic operations on such sets, like join, union, selection, etc. Moreover, we introduce a measure of computational complexity of these operations.

Natural language interfaces

1978 ◽  
Author(s):  
Howard Lee Morgan ◽  
Edgar F. Codd ◽  
William A. Martin ◽  
Larry Harris ◽  
Daniel Sagalowicz ◽  
...  
Keyword(s):  
Natural Language ◽  
Natural Language Interfaces

scholarly journals Empowering Natural Language Interfaces to Databases with Aggregations

2021 ◽  
Vol 12 (5) ◽  
Author(s):  
Alexandre F. Novello ◽  
Marco A. Casanova
Keyword(s):  
Natural Language ◽  
Relational Database ◽  
Natural Language Interfaces ◽  
Aggregation Functions ◽  
Natural Language Interface ◽  
Measurement Units ◽  
Database Interface ◽  
Multiple Attributes ◽  
Generic Module ◽  
Query Aggregation

A Natural Language Interface to Database (NLIDB) refers to a database interface that translates a question asked in natural language into a structured query. Aggregation questions express aggregation functions, such as count, sum, average, minimum and maximum, and optionally a group by clause and a having clause. NLIDBs deliver good results for standard questions but usually do not deal with aggregation questions. The main contribution of this article is a generic module, called GLAMORISE (GeneraL Aggregation MOdule using a RelatIonal databaSE), that extends NLIDBs to cope with aggregation questions. GLAMORISE covers aggregations with ambiguities, timescale differences, aggregations in multiple attributes, the use of superlative adjectives, basic recognition of measurement units, and aggregations in attributes with compound names.

scholarly journals SISTEM CUSTOMER SERVICE PT KERETA API INDONESIA (PERSERO) BERBASIS CHATBOT MENGGUNAKAN KOMPUTASI BAHASA

2021 ◽  
Vol 5 (1) ◽  
pp. 37-41
Author(s):  
Nia Shafira ◽  
◽  
Etin Martiana ◽  
Rengga Asmara
Keyword(s):  
Human Resources ◽  
Natural Language ◽  
Customer Service ◽  
Customer Loyalty ◽  
Service Provider ◽  
Language Modeling ◽  
Service Performance ◽  
Service Workers ◽  
New Approach ◽  
Automatic Information

As the main train service provider company in Indonesia, PT Kereta Api Indonesia (PT KAI) has many customers who need information. In order to maintain customer loyalty, PT KAI must respond quickly and be adaptive to technology to provide the best service to customers. Limited human resources make PT KAI unable to serve customers simultaneously, so customers often have to wait for a response. In order to provide the best service, automatic messages are needed in order to help customer service performance respond quickly and at the same time with no cost, access anytime and anywhere. This study proposes a new approach with chatbots as a medium for conveying automatic information quickly and simultaneously. This chatbot is made with a computational language that focuses on natural language modeling and cosine similarity as a method for calculating the proximity of inputs and databases. This research can help PT KAI's customer service workers to answer customer needs automatically.

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