Abstract
Short technical support pages such as IBM Technotes are quite common in technical support domain. These pages can be very useful as the knowledge sources for technical support applications such as chatbots, search engines and question-answering (QA) systems. Information extracted from documents to drive technical support applications is often stored in the form of Knowledge Graph (KG). Building KGs from a large corpus of documents poses a challenge of granularity because a large number of entities and actions are present in each page. The KG becomes virtually unusable if all entities and actions from these pages are stored in the KG. Therefore, only key entities and actions from each page are extracted and stored in the KG. This approach however leads to loss of knowledge represented by entities and actions left out of the KG as they are no longer available to graph search and reasoning functions.
We propose a set of techniques to create micro knowledge graph (micrograph) for each of such web pages. The micrograph stores all the entities and actions in a page and also takes advantage of the structure of the page to represent exactly in which part of that page these entities and actions appeared, and also how they relate to each other. These micrographs can be used as additional knowledge sources by technical support applications. We define schemas for representing semi-structured and plain text knowledge present in the technical support web pages. Solutions in technical support domain include procedures made of steps. We also propose a technique to extract procedures from these webpages and the schemas to represent them in the micrographs. We also discuss how technical support applications can take advantage of the micrographs.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bollacker, K., Evans, C., Paritosh, P., Sturge, T., Taylor, J.: Freebase: a collaboratively created graph database for structuring human knowledge. In: Proceedings of ACM SIGMOD, pp. 1247–1250 (2008)
IBM: Determining and changing the isolation level. https://www.ibm.com/support/pages/determining-and-changing-isolation-level
IBM: Technotes (faqs and troubleshooting tips) for ibm db2 data management console. https://www.ibm.com/support/pages/technotes-faqs-and-troubleshooting-tips-ibm-db2-data-management-console
Lehmann, J., et al.: DBpedia - a large-scale, multilingual knowledge base extracted from wikipedia. Sem. Web 6, 167–195 (2015)
Lei, C., Alotaibi, R., Quamar, A., Efthymiou, V., Özcan, F.: Property graph schema optimization for domain-specific knowledge graphs (2020)
Lin, Z.Q., et al.: Intelligent development environment and software knowledge graph. J. Comput. Sci. Technol. 32(2), 242–249 (2017)
Mitchell, T., et al.: Never-ending learning. In: Proceedings of AAAI (2015)
Noy, N., Gao, Y., Jain, A., Narayanan, A., Patterson, A., Taylor, J.: Industry-scale knowledge graphs: lessons and challenges. Queue 17(2), 48–75 (2019)
Oliveira, D., Sahay, R., d’Aquin, M.: Leveraging ontologies for knowledge graph schemas (2019)
Pellissier Tanon, T., Weikum, G., Suchanek, F.: Yago 4: A reason-able knowledge base. In: Proceedings of ESWC, pp. 583–596 (2020)
Sabou, M., et al.: Exploring enterprise knowledge graphs: a use case in software engineering. In: Gangemi, A., et al. (eds.) ESWC 2018. LNCS, vol. 10843, pp. 560–575. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-93417-4_36
Wang, M., Zou, Y., Cao, Y., Xie, B.: Searching software knowledge graph with question. In: Peng, X., Ampatzoglou, A., Bhowmik, T. (eds.) ICSR 2019. LNCS, vol. 11602, pp. 115–131. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-22888-0_9
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Kumar, A., Gupta, N., Dana, S. (2021). Constructing Micro Knowledge Graphs from Technical Support Documents. In: Verborgh, R., et al. The Semantic Web: ESWC 2021 Satellite Events. ESWC 2021. Lecture Notes in Computer Science(), vol 12739. Springer, Cham. https://doi.org/10.1007/978-3-030-80418-3_37
Download citation
DOI: https://doi.org/10.1007/978-3-030-80418-3_37
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-80417-6
Online ISBN: 978-3-030-80418-3
eBook Packages: Computer ScienceComputer Science (R0)