- Pietro Pinoli, Politecnico di Milano
- Alberto Garcia S., Polytechnic University of Valencia
- Silvia Cascianelli, Politecnico di Milano
- Anna Bernasconi, Politecnico di Milano
The recent advances in unraveling the secrets of human conditions and diseases have encouraged new paradigms for their diagnosis and treatment. In addition, the recent pandemics have brought increasing attention toward the genetic mechanisms of viruses and infected hosts. The information related to these phenomena is increasing at unprecedented rates, directly impacting the design and development of data management pipelines and their applications. New ways of processing and exposing data and knowledge on the Web in healthcare and life sciences environments are thus strongly needed. The WALS workshop, at its third edition, aims at being a meeting forum for Web Engineering, Data Management, and Bioinformatics researchers working on life sciences problems, offering the opportunity to share, discuss and find new approaches to support Search, Knowledge Extraction, and Data Science on the Web, thereby achieving important results for healthcare, precision medicine, biology, genomics, and virology. The workshop welcomes submissions of fresh investigations and demonstrations concerning conceptual, experimental, and applied studies of life sciences problems on the Web. Directions of particular interest include 1) monitoring and adaptation of Web Engineering techniques for life sciences; 2) design and engineering of Web applications for resolving life sciences problems; 3) development of crowdsourcing and collaborative strategies for life sciences data curation, integration, and discovery.
- In-Young Ko, Korea Advanced Institute of Science and Technology
- Juan Manuel Murillo, University of Extremadura and COMPUTAEX Foundation
- Michael Mrissa, InnoRenew CoE, University of Primorska
- Abhishek Srivastava, Indian Institute of Technology Indore
Edge clouds are emerging as a pivotal computing infrastructure, especially with the advancements in communication technologies like 5G and Web of Things (WoT) infrastructures. They play a significant role in collecting and processing big data efficiently, particularly in smart cities and smart factories. In such environments, the provision of real-time Web services for various data types becomes imperative. Additionally, the creation of a dependable framework for developing big data service applications is crucial. The upcoming fourth edition of the BECS workshop aims to offer a platform for scholars and practitioners to exchange experiences and present ongoing work on delivering enhanced Web services by leveraging big data in edge cloud environments.