Web and Big Data: 6th International Joint Conference, APWeb-WAIM 2022, Nanjing, China, November 25-27, 2022, Proceedings, Part I

The 6th International Joint Conference,APWeb-WAIM 2022, held in Nanjing, China, had 297 submissions, and this three-volume set, LNCS 13421, 13422, and 13423, contains 75 full papers and 45 short papers. The papers are organized around topics such as Big Data Analytic and Management, Advanced database and web applications, Cloud Computing and Crowdsourcing, Data Mining, Graph Data and Social Networks, Information Extraction and Retrieval, Knowledge Graph, Machine Learning, Query processing and optimization, Recommender Systems, Security, privacy, and trust, Blockchain data management and applications, and Spatial and multi-media data.

Format: Paperback / softback
Length: 568 pages
Publication date: 14 February 2023
Publisher: Springer International Publishing AG

This three-volume set, LNCS 13421, 13422, and 13423, constitutes the thoroughly refereed proceedings of the 6th International Joint Conference, APWeb-WAIM 2022, held in Nanjing, China, in August 2022. The 75 full papers presented together with 45 short papers, and 5 demonstration papers were carefully reviewed and selected from 297 submissions. The papers are organized around the following topics:

Big Data Analytic and Management: This topic encompasses the exploration and analysis of large and complex data sets, using advanced techniques such as data mining, machine learning, and artificial intelligence. It focuses on developing efficient methods for extracting valuable insights and making informed decisions based on big data.

Advanced database and web applications: This area focuses on developing advanced database systems and web applications that can handle large amounts of data and provide efficient and scalable solutions. It includes topics such as database design, query optimization, and data management strategies.

Cloud Computing and Crowdsourcing: Cloud computing and crowdsourcing are emerging technologies that enable the sharing and utilization of computing resources and data. This topic explores the applications of cloud computing and crowdsourcing in various fields, including data storage, processing, and analysis.

Data Mining: Data mining is the process of extracting valuable information from large data sets using statistical and machine learning techniques. It involves identifying patterns, trends, and associations in data to make predictions and inform decision-making.

Graph Data and Social Networks: Graph data and social networks represent complex relationships between entities and are increasingly used in various applications such as social media analysis, network analysis, and recommendation systems. This topic explores the techniques and algorithms for analyzing and manipulating graph data.

Information Extraction and Retrieval: This topic focuses on developing methods for extracting information from unstructured and semi-structured data sources, such as text, images, and videos. It includes techniques such as natural language processing, text mining, and image processing.

Knowledge Graph: Knowledge graphs are a structured representation of knowledge that can be used to enhance information retrieval, reasoning, and inference. This topic explores the construction, management, and applications of knowledge graphs.

Machine Learning: Machine learning is a branch of computer science that involves the development of algorithms that can learn from data and make predictions or decisions without being explicitly programmed. It includes supervised learning, unsupervised learning, and reinforcement learning.

Query processing and optimization: This topic focuses on developing efficient methods for processing complex queries and optimizing query execution in database systems. It includes techniques such as query optimization, indexing, and query processing algorithms.

Recommender Systems: Recommender systems are algorithms that provide personalized recommendations to users based on their preferences and behavior. This topic explores the development and evaluation of recommender systems in various domains, such as e-commerce, entertainment, and education.

Security, privacy, and trust: This topic encompasses the protection of sensitive data and the assurance of privacy and trust in digital systems. It includes topics such as security protocols, encryption, authentication, and access control.

Blockchain data management and applications: Blockchain is a distributed ledger technology that enables secure and transparent data storage and transactions. This topic explores the applications of blockchain in various fields, such as finance, supply chain management, and healthcare.

Spatial and multi-media data: Spatial and multi-media data represent geographic information and multimedia content. This topic explores the techniques and algorithms for analyzing and manipulating spatial and multi-media data, such as geographic information systems, image processing, and video analysis.

In conclusion, this three-volume set of LNCS 13421, 13422, and 13423 presents a comprehensive collection of the latest research and developments in the field of web and information management. The papers cover a wide range of topics, from big data analytics to knowledge graphs, and provide valuable insights into the emerging trends and technologies shaping the future of this field. The contributions of the authors and reviewers are greatly appreciated, and we hope that this proceedings will be of great benefit to the academic community and industry practitioners alike.

Weight: 902g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031251573
Edition number: 1st ed. 2023