Sedano: A News Stream Processor for Business
Ugo Scaiella, Giacomo Berardi, Giuliano Mega, Roberto Santoro

TL;DR
Sedano is a scalable, fault-tolerant system that processes, enriches, and indexes business news streams, enabling efficient retrieval and filtering for business intelligence applications.
Contribution
It introduces a flexible, scalable architecture for real-time business news processing with entity linking and classification capabilities.
Findings
Efficient indexing of business news streams
Supports filtering by company and event types
Deployable on commodity hardware
Abstract
We present Sedano, a system for processing and indexing a continuous stream of business-related news. Sedano defines pipelines whose stages analyze and enrich news items (e.g., newspaper articles and press releases). News data coming from several content sources are stored, processed and then indexed in order to be consumed by Atoka, our business intelligence product. Atoka users can retrieve news about specific companies, filtering according to various facets. Sedano features both an entity-linking phase, which finds mentions of companies in news, and a classification phase, which classifies news according to a set of business events. Its flexible architecture allows Sedano to be deployed on commodity machines while being scalable and fault-tolerant.
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