Construction and Completion of Document-Level Multimodal Question and Answer Knowledge Graph

Xiaoyi Zhang ()
Additional contact information
Xiaoyi Zhang: University of Petroleum, School of Economics and Management

A chapter in Proceedings of the 5th International Conference on Economic Management and Big Data Application (ICEMBDA 2024), 2024, pp 467-473 from Springer

Abstract: Abstract To make full use of the documents in question and answer (Q&A) community with text and image information included, improving the ability of information retrieval and semantic understanding, this paper focuses on the construction and completion of a multimodal Q&A knowledge graph. Firstly, we propose a document-level multimodal question and answer knowledge graph (DMQAKG), using topic, question, and answer documents as nodes, and building document relations. Furthermore, we also propose a multimodal Q&A knowledge graph completion method (MQAKGC) for DMQAKG based on multimodal feature extraction and fusion and multimodal knowledge graph link prediction. We use graph convolutional network (GCN) to capture the constructional features and long-short term memory (LSTM) to learn the chronological dependency between the entities for further completion of the missing relations. Experimental results show the superior performance of the proposed knowledge graph completion method in different Q&A subset scales.

Keywords: Multimodal Question and Answer Knowledge Graph; Knowledge Graph Completion Virtual Q&A Community (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-638-3_46

Ordering information: This item can be ordered from
http://www.springer.com/9789464636383

DOI: 10.2991/978-94-6463-638-3_46

Access Statistics for this chapter

More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().