{"id":690,"date":"2017-12-21T13:35:28","date_gmt":"2017-12-21T12:35:28","guid":{"rendered":"https:\/\/testwebsite.2018.eswc-conferences.org\/?page_id=690"},"modified":"2017-12-21T13:43:58","modified_gmt":"2017-12-21T12:43:58","slug":"web-apis-processes-and-cloud-computing","status":"publish","type":"page","link":"\/subtracks\/web-apis-processes-and-cloud-computing\/","title":{"rendered":"Web APIs, Processes, and Cloud Computing"},"content":{"rendered":"
Data science, particularly workflows for data analysis, increasingly employs Web Application Programming Interfaces (APIs). The emergence of Big Data has accelerated the growth of the API space, providing us with an excellent opportunity to build an intelligent network of Web APIs and services that empower applications to automatically discover and link information. The fast-growing Web API landscape brings clients more options than ever before, at least in in theory. In practice, they cannot easily switch between different providers offering similar functionality.
\nSome fundamental problems of semantic interoperability, discovery and autonomous, real-time exploitation are still unsolved. This concerns semantic technologies in two ways: semantics-based applications must be architected to be scalable and composable; semantic technologies can also help to build for composition, resilience and scalability. Cloud-based services do provide for a great deal of storage, management, analysis and exposure of data-driven applications. Applications that make use of semantics must be just as easily and flexibly provisioned using such services if they are to compete with current cloud-backed data-driven applications. The description of services using semantics is a research area with a long pedigree, while, in restricted settings such as scientific and biomedical workflows, the semantic description of processes has been found useful. The time is ripe for explicit formal semantics in the description of the components of data analysis, and their combination into processes, to show their worth. Finally, blockchain-based technologies have recently seen a great deal of interest, beyond their original applications to cryptocurrency, where decentralized trust must be established. This opens up possibilities for synergies with semantic technologies in establishing trust in distributed systems built from heterogeneous services, and presents open questions in defining the behaviours expected in decentralised contracts which have much in common with the aims of semantic service descriptions.
\nThis track is concerned with latest advances in semantic technologies that are suitable to address the challenges and opportunities raised in the context of Web.<\/p>\n
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Topics of interest include but are not limited to:<\/p>\n
Description Data science, particularly workflows for data analysis, increasingly employs Web Application Programming Interfaces (APIs). The emergence of Big Data has accelerated the growth of the API space, providing us with an excellent opportunity to build an intelligent network of Web APIs and services that empower applications to automatically discover and link information. The fast-growing […]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":155,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"yoast_head":"\n