Abstract
This paper proposes a semi-automated tool to build ontology from text. The tool consists of an analyzer to parse the given text and a mapper that maps NLP triple to RDF triple under user supervision. The resulted RDF triple is then validated through “triple validator” for its existence in the ontology. The triple is augmented to the ontology if it does not exist. System learns during this process and provides better mapping suggestions with time, making ontology building faster.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Gruber, T.R.: Toward principles for the design of ontologies used for knowledge sharing. Int. J. Hum. Comput Stud. 43(5–6), 907–928 (1995)
Bedi, P., Thukral, A., Banati, H., Behl, A., Mendiratta, V.: A multi-threaded semantic focused crawler. J. Comput. Sci. Technol. 27(6), 1233–1242 (2012)
Maddi, G.R., Velvadapu, C.S., De Lamadrid, J.G.: Ontology extraction from text documents by singular value decomposition (2001)
Yeh, J.H., Yang, N.: Ontology construction based on latent topic extraction in a digital library. In: International Conference on Asian Digital Libraries, pp. 93–103. Springer, Berlin, Heidelberg (2008)
Bedini, I., Nguyen, B.: Automatic ontology generation: state of the art. PRiSM Laboratory Technical Report. University of Versailles (2007)
Sanchez, D., Moreno, A.: Creating ontologies from web documents. In: Recent Advances in Artificial Intelligence Research and Development, vol. 113, pp. 11–18. IOS Press (2004)
Gantayat, N., Iyer, S.: Automated building of domain ontologies from lecture notes in courseware. In: 2011 IEEE International Conference on Technology for Education (T4E), pp. 89–95. IEEE (2011)
Ahmad, K., Gillam, L.: Automatic ontology extraction from unstructured texts. In: On the Move to Meaningful Internet Systems 2005: Coopis, Doa, and Odbase, pp. 1330–1346 (2005)
Musen, M.A.: The protégé project: a look back and a look forward. AI Matters 1(4), 4–12 (2015)
Angeli, G., Premkumar, M.J., Manning, C.D.: Leveraging linguistic structure for open domain information extraction. In: Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL 2015) (2015)
Manning, C.D., Surdeanu, M., Bauer, J., Finkel, J.R., Bethard, S., McClosky, D.: The Stanford CoreNLP natural language processing toolkit. In: ACL (System Demonstrations), pp. 55–60 (2014)
Horridge, M., Bechhofer, S.: The OWL API: a Java API for OWL ontologies. Semant. Web 2(1), 11–21 (2011)
Glimm, B., Horrocks, I., Motik, B., Stoilos, G., Wang, Z.: HermiT: an OWL 2 reasoner. J. Autom. Reason. 53(3), 245–269 (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Thukral, A., Jain, A., Aggarwal, M., Sharma, M. (2018). Semi-automatic Ontology Builder Based on Relation Extraction from Textual Data. In: Bhattacharyya, S., Chaki, N., Konar, D., Chakraborty, U., Singh, C. (eds) Advanced Computational and Communication Paradigms. Advances in Intelligent Systems and Computing, vol 706. Springer, Singapore. https://doi.org/10.1007/978-981-10-8237-5_33
Download citation
DOI: https://doi.org/10.1007/978-981-10-8237-5_33
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-8236-8
Online ISBN: 978-981-10-8237-5
eBook Packages: EngineeringEngineering (R0)