6533b7d6fe1ef96bd1266e2c

RESEARCH PRODUCT

Self-service Ad-hoc Querying Using Controlled Natural Language

Edgars RencisJanis BarzdinsJuris BarzdinsMikus GrasmanisAgris Sostaks

subject

Information retrievalDatabaseProcess (engineering)Computer science05 social sciences02 engineering and technologyOntology (information science)computer.software_genrelanguage.human_languageHierarchical database modelData accessControlled natural languageLearning curve020204 information systems0202 electrical engineering electronic engineering information engineeringlanguage0501 psychology and cognitive sciencesDecision-makingcomputer050107 human factorsNatural language

description

The ad-hoc querying process is slow and error prone due to inability of business experts of accessing data directly without involving IT experts. The problem lies in complexity of means used to query data. We propose a new natural language- and semistar ontology-based ad-hoc querying approach which lowers the steep learning curve required to be able to query data. The proposed approach would significantly shorten the time needed to master the ad-hoc querying and to gain the direct access to data by business experts, thus facilitating the decision making process in enterprises, government institutions and other organizations.

yearjournalcountryeditionlanguage
2016-01-01
https://doi.org/10.1007/978-3-319-40180-5_2