Web and Big Data

This two-volume set, LNCS 11641 and 11642, constitutes the thoroughly refereed proceedings of the Third International Joint Conference, APWeb-WAIM 2019, held in Chengdu, China, in August 2019.

The 42 full papers presented together with 17 short papers, and 6 demonstration papers were carefully reviewed and selected from 180 submissions.
The papers are organized around the following topics: Big Data Analytics; Data and Information Quality; Data Mining and Application; Graph Data and Social Networks; Information Extraction and Retrieval; Knowledge Graph; Machine Learning; Recommender Systems; Storage, Indexing and Physical Database Design; Spatial, Temporal and Multimedia Databases; Text Analysis and Mining; and Demo.

Big Data Analytics. - Data and Information Quality. - Data Mining and Application. - Graph Data and Social Networks. - Information Extraction and Retrieval. - Knowledge Graph. - Machine Learning. - Recommender Systems. - Storage, Indexing and Physical Database Design. - Spatial, Temporal and Multimedia Databases. - Text Analysis and Mining.