ABSTRACT
With the omnipresence of mobile devices coupled with recent advances in automatic speech recognition capabilities, there has been a growing demand for natural language query (NLQ) interface to retrieve information from the knowledge bases. Business users particularly find this useful as NLQ interface enables them to ask questions without the knowledge of the query language or the data schema. In this paper, we apply an existing research technology called ``ATHENA: An Ontology-Driven System for Natural Language Querying over Relational Data Stores'' in the industry domain of SAP-ERP systems. The goal is to enable users to query SAP-ERP data using natural language. We present the challenges and their solutions of such a technology transfer. We present the effectiveness of the natural language query interface on a set of questions given by a set of SAP practitioners.
- Dynamic Open SQL. (Dynamic Open SQL). Retrieved July 20, 2017 from https: //www.ibm.com/developerworks/data/library/techarticle/dm-1007sapopensql/Google Scholar
- Open SQL. (Open SQL). Retrieved July 20, 2017 from https://help.sap.com/ saphelp_nw70ehp1/helpdata/en/fc/eb3983358411d1829f0000e829fbfe/content. htmGoogle Scholar
- SAP - module wise tables. (SAP - module wise tables). Retrieved July 20, 2017 from SAPGUI,SE11,PRESSF4,SAPAPPLICATIONSMENUGoogle Scholar
- SAP JCo Connector. (SAP JCo Connector). Retrieved July 20, 2017 from https://help.sap.com/saphelp_nwpi711/helpdata/en/48/ 70792c872c1b5ae10000000a42189c/content.htmGoogle Scholar
- SAP User Statistics. (SAP User Statistics). Retrieved July 20, 2017 from https: //goo.gl/MeFwVaGoogle Scholar
- THESAURUS. (THESAURUS). Retrieved July 20, 2017 from https://www. merriam-webster.com/thesaurus/companyGoogle Scholar
- Jonathan Berant et al. 2013. Semantic Parsing on Freebase from Question-Answer Pairs. In EMNLP. 1533–1544.Google Scholar
- Aditya Desai, Sumit Gulwani, Vineet Hingorani, Nidhi Jain, Amey Karkare, Mark Marron, Sailesh R, and Subhajit Roy. 2016. Program Synthesis Using Natural Language. In Proceedings of the ICSE (ICSE ’16). ACM, New York, NY, USA, 345– 356. Google ScholarDigital Library
- Swapnil Kanhe, Pramod Bodke, Akshay Chikhale, and Vaibhav Udawant. 2015. SQL Generation and PL/SQL Execution from Natural Language Processing. In International Journal of Engineering Research and Technology, Vol. 4. IJERT.Google Scholar
- L. Kou, G. Markowsky, and L. Berman. 1981. A Fast Algorithm for Steiner Trees. Acta Informatica 15, 2 (1981), 141–145. Google ScholarDigital Library
- D. Küpper, M. Storbel, and D. Rösner. 1993. NAUDA: A Cooperative Natural Language Interface to Relational Databases. In ACM SIGMOD. Google ScholarDigital Library
- Fei Li and H. V. Jagadish. 2014. Constructing an Interactive Natural Language Interface for Relational Databases. Proc. VLDB Endow. 8, 1 (2014), 73–84. Google ScholarDigital Library
- Yunyao Li, Huahai Yang, and H. V. Jagadish. 2005. NaLIX: An Interactive Natural Language Interface for Querying XML. In ACM SIGMOD. Google ScholarDigital Library
- Mehdi Manshadi, Daniel Gildea, and James Allen. 2013. Integrating Programming by Example and Natural Language Programming. In AAAI (AAAI’13). AAAI Press, 661–667. http://dl.acm.org/citation.cfm?id=2891460.2891552 Google ScholarDigital Library
- Ana-Maria Popescu et al. 2004. Modern Natural Language Interfaces to Databases: Composing Statistical Parsing with Semantic Tractability. In COLING. Google ScholarDigital Library
- Etzioni Oren Popescu, Ana-Maria and Henry Kautz. 2003. Towards a Theory of Natural Language Interfaces to Databases. In IUI. Google ScholarDigital Library
- Diptikalyan Saha, Avrilia Floratou, Karthik Sankaranarayanan, Umar Farooq Minhas, Ashish R. Mittal, and Fatma Özcan. 2016. ATHENA: An Ontology-driven System for Natural Language Querying over Relational Data Stores. Proc. VLDB Endow. 9, 12 (Aug. 2016), 1209–1220. Google ScholarDigital Library
Index Terms
- Natural language querying in SAP-ERP platform
Recommendations
Goal-based Ontology Creation for Natural Language Querying in SAP-ERP Platform
CODS-COMAD '19: Proceedings of the ACM India Joint International Conference on Data Science and Management of DataThe omnipresence of mobile devices coupled with recent advances in automatic speech recognition capabilities has led to a growing demand for natural language querying (NLQ) interfaces to retrieve information from data repositories. Going beyond consumer ...
Querying SAP ERP with SPARQL
I-SEMANTICS '12: Proceedings of the 8th International Conference on Semantic SystemsMost of the mid-size and large companies employ enterprise resource planning (ERP) systems to manage their business data and business processes. Business entities like purchase orders, equipments or customers are represented as business objects in ERP ...
Natural language querying of databases
Natural language (NL) interfaces for database (DB) query formulation have always been recognized as a much-needed enhancement for DB end-users. NL systems, however, have shortcomings that have led some DB researchers to question their practicality. The ...
Comments