Towards Verbalizing SPARQL Queries in Arabic

Journal Title: Engineering, Technology & Applied Science Research - Year 2016, Vol 6, Issue 2

Abstract

With the wide spread of Open Linked Data and Semantic Web technologies, a larger amount of data has been published on the Web in the RDF and OWL formats. This data can be queried using SPARQL, the Semantic Web Query Language. SPARQL cannot be understood by ordinary users and is not directly accessible to humans, and thus they will not be able to check whether the retrieved answers truly correspond to the intended information need. Driven by this challenge, natural language generation from SPARQL data has recently attracted a considerable attention. However, most existing solutions to verbalize SPARQL in natural language focused on English and Latin-based languages. Little effort has been made on the Arabic language which has different characteristics and morphology. This work aims to particularly help Arab users to perceive SPARQL queries on the Semantic Web by translating SPARQL to Arabic. It proposes an approach that gets a SPARQL query as an input and generates a query expressed in Arabic as an output. The translation process combines both morpho-syntactic analysis and language dependencies to generate a legible and understandable Arabic query. The approach was preliminary assessed with a sample query set, and results indicated that 75% of the queries were correctly translated into Arabic.

Authors and Affiliations

I. Al Agha, O. El-Radie

Keywords

Related Articles

Gas Turbine Engine Starting Applicated on TV2-117 Turboshaft

The paper presents the examination of two different types of engine starting configurations, applicated on TV2-117A turboshaft, running into the test bench. The first type of starting configuration is a normal starting,...

Improving the Bond Strength of Rice Husk Ash Concrete by Incorporating Polymer: A New Approach

This paper gives an insight of how to improve the bond strength of cement in which concrete is replaced with rice husk ash. A concrete mix was prepared and was used in different types of mixes i.e. Control Mix, 10% cemen...

Aspect Βased Classification Model for Social Reviews

Aspect based opinion mining investigates deeply, the emotions related to one’s aspects. Aspects and opinion word identification is the core task of aspect based opinion mining. In previous studies aspect based opinion mi...

Important Non-Wood Forest Products in Turkey: An Econometric Analysis

Wood resources obtained from forest and non-wood forest products (NWFP) have gained great importance recently as their economic values keeps increasing by the day. In this study, forecasting of Turkish Non-Wood Forest Pr...

Effect of Iron Additives on the Microstructure of Hydroxyapatite

In this article, some Fe (III) doped hydroxyapatite samples (FeHAp) were prepared using the wet chemical method. The prepared samples were characterized via the use of X-ray diffraction (XRD) and scanning electron micros...

Download PDF file
  • EP ID EP109292
  • DOI -
  • Views 266
  • Downloads 0

How To Cite

I. Al Agha, O. El-Radie (2016). Towards Verbalizing SPARQL Queries in Arabic. Engineering, Technology & Applied Science Research, 6(2), -. https://europub.co.uk/articles/-A-109292