scholarly journals Towards Enhanced Usability of Natural Language Interfaces to Knowledge Bases

2009 ◽  
pp. 105-133 ◽  
Author(s):  
Danica Damljanović ◽  
Kalina Bontcheva
Keyword(s):  
Natural Language ◽  
Knowledge Bases ◽  
Natural Language Interfaces

scholarly journals Towards portable natural language interfaces to knowledge bases – The case of the ORAKEL system

2008 ◽  
Vol 65 (2) ◽  
pp. 325-354 ◽  
Author(s):  
Philipp Cimiano ◽  
Peter Haase ◽  
Jörg Heizmann ◽  
Matthias Mantel ◽  
Rudi Studer
Keyword(s):  
Natural Language ◽  
Knowledge Bases ◽  
Natural Language Interfaces

The Distinction between Linguistic and Conceptual Semantics in Medical Terminology and its Implication for NLP-Based Knowledge Acquisition

1998 ◽  
Vol 37 (04/05) ◽  
pp. 327-333 ◽  
Author(s):  
F. Buekens ◽  
G. De Moor ◽  
A. Waagmeester ◽  
W. Ceusters
Keyword(s):  
Natural Language ◽  
Knowledge Acquisition ◽  
Natural Language Understanding ◽  
Knowledge Bases ◽  
Linguistic Knowledge ◽  
Medical Terminology ◽  
Language Understanding ◽  
Conceptual Semantics

AbstractNatural language understanding systems have to exploit various kinds of knowledge in order to represent the meaning behind texts. Getting this knowledge in place is often such a huge enterprise that it is tempting to look for systems that can discover such knowledge automatically. We describe how the distinction between conceptual and linguistic semantics may assist in reaching this objective, provided that distinguishing between them is not done too rigorously. We present several examples to support this view and argue that in a multilingual environment, linguistic ontologies should be designed as interfaces between domain conceptualizations and linguistic knowledge bases.

Natural language interfaces using limited semantic information

1982 ◽  
Author(s):  
Ralph Grishman ◽  
Lynette Hirschman ◽  
Carol Friedman
Keyword(s):  
Natural Language ◽  
Semantic Information ◽  
Natural Language Interfaces

Integrating Linguistic and World Knowledge for Domain-Adaptable Natural Language Interfaces

2014 ◽  
pp. 237-241
Author(s):  
Hen-Hsen Huang ◽  
Chang-Sheng Yu ◽  
Huan-Yuan Chen ◽  
Hsin-Hsi Chen ◽  
Po-Ching Lee ◽  
...  
Keyword(s):  
Natural Language ◽  
World Knowledge ◽  
Natural Language Interfaces

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.

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