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Cloud tools for web scraping and data extraction
Deploy pre-built tools that crawl websites, extract structured data, and feed your applications. Reliable web data without maintaining scrapers.
Automate web data collection with cloud tools that handle anti-bot measures, browser rendering, and data transformation out of the box. Extract content from any website, push to vector databases for RAG workflows, or pipe directly into your apps via API. Schedule runs, set up webhooks, and connect to your existing stack. Free tier available, then scale as you need to.
NOTE: Since 2022 this hosting of PLEXIL is deprecated. PLEXIL has moved to GitHub at
https://github.com/plexil-group/plexil. Documentation is found at
https://plexil-group.github.io/plexil_docs. Please use these new locations.
PLEXIL is a plan execution language and technology developed by NASA and used in automation and autonomy applications at NASA and in the public sector. This software includes compilers for the language, the executive (runtime environment), and related tools....
Semantic Assistants support users in content retrieval, analysis, and development, by offering context-sensitive NLP services directly integrated in standard desktop clients, like a word processor, and web information systems, like a wiki.
This article talks about how to create a chatterbot that can serve as an interactive help agent. The bot has been "taught" to answer FAQs about a system. It can help solve petty issues for users quickly or point them to a human agent.
TOAST (Trust Organisational Agent System Testbed) is a simulation framework used to evaluate and compare different trust models for agents embedded in organisational systems.
Total Network Visibility for Network Engineers and IT Managers
Network monitoring and troubleshooting is hard. TotalView makes it easy.
This means every device on your network, and every interface on every device is automatically analyzed for performance, errors, QoS, and configuration.
O editor de regras de produção orientadas à objeto (ERPOO). Tem como função principal, fornecer um ambiente automatizado para o uso do JEOPS (Java Embedded Object Production System), provendo recursos para edição de suas regras.
CAMA (Context-Aware Mobile Agents) is a middleware for supporting mobile agents coordination. It is based on Linda-style coordination and provides numerous extentions for interoperability and fault-tolerance. It supports portable platforms such as PDAs.