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K8sGPT: Simplify Kubernetes cluster management with AI-powered issue diagnosis and triage (k8sgpt.ai).

In combination with a complex news-gathering system, we use this engine to analyze more than 100,000 articles every day, all in real time. We identify 700,000+ different companies, people, brands and locations, understand the locality and topics that every article covers, collect the articles into story clusters, and visualize every story in the best possible way.

H-Store is an experimental main-memory, parallel database management system that is optimized for OLTP applications. It is a highly distributed, row-store-based relational database that runs on a cluster on shared-nothing, main memory executor nodes. The H-Store project is a collaboration between MIT, Brown University, Yale University, and HP Labs.

Apache Spark™ is a fast and general engine for large-scale data processing.

The Semantic Web is a vision: the idea of having data on the web defined and linked in a way, that it can be used by machines - not just for display purposes, but for using it in various applications. Many ongoing projects and efforts require Semantic Web technology,

Welcome to sw, the Linux platform of DERI Galway's Semantic Web Cluster. Note that sw is a service not supported by DERI's IT group. Use sw at your own risk, and please do put sensitive data somewhere else.

Corrib.org is a cluster project, has been started on the base of cooperation between DERI International and Gdansk University of Technology. So far, it gathers together both open source projects being developed based on that cooperations and people affiliated to different sites.

The mission of STI International  - Semantic Technology Institute International - is to establish Semantics as a core pillar of modern computer engineering. STI International is organized as a collaborative association of interested scientific, industrial and governmental parties of the world wide Semantic Web and Service community that share a common vision. STI International actively takes the lead in developing new business models and in improving the way people and businesses communicate and interact.

Yebol's mission is to build human-like world's knowledge base and provide knowledge based search (semantics) and services. Yebol utilizes a combination of patented algorithms paired with human knowledge to build a Web directory for each query and each user. Instead of the common "listing" of Web search queries, Yebol automatically clusters and categorizes search terms, Web sites, pages and contents. Yebol allows for a multi-dimensional search result instead of the normal one-dimensional search seen by most web search engines today. This provides a more accurate summary of top sites and categories; a wider array of related search terms; a longer and richer expansion for query results; and a deeper base of links and keywords in search result pages.

Upper Mapping and Binding Exchange Layer A lightweight, subject concept reference structure for the Web