The SAIL LABS OSINT solution
(EN, IT, AR, ES, DE, RU, PL)
In this video we show you the avalanche of information that is being created by millions of individuals in the world and shared through different types of media every day, as well as why the SAIL LABS OSINT Solution is the best answer to manage this vast amount of unstructured information contained in open sources.
نعرض لكم في هذه الفيديو الكم الهائل من المعلومات التي يقوم بإنشائها يومياً ملايين البشر في جميع انحاء العالم يومياً وبمختلف المصادر الاعلامية, كذلك اهمية حلول نظم المعلومات المفتوحة المصدرمن شركة سايل لابس لإدارة هذا الكم الهائل من المعلومات غير المهيكلة الواردة في المصادر المفتوحة
These videos provide you with a quick overview of the Media Mining System.
This video provides you with an overview of the SAIL LABS Media Mining System, an award-winning integrated platform for analysts and decision makers, extracting metadata and key information from multiple sources in multiple languages in real time. The Media Mining System consists of multiple components which are combined to provide a revolutionary capability. The power of cross-media and cross-lingual information retrieval, analytics and dissemination.
Based on OSINT-centric workflow requirements, SAIL LABS provides solutions for the whole universe of intelligence extraction, from raw data acquisition to visualisation and report generation. Incorporated in the Media Mining System & framework for OSINT, SAIL LABS Workflow Solutions provide a suite of best-of-breed technologies designed for the constant monitoring of TV- and radio-stations, web pages and social-media feeds, in 22 languages on a 24×7 basis, enabling OSINT-professionals to create actionable intelligence through quick extraction of meaningful information out of unstructured, cross-media and cross-lingual data contained in open sources.
Focused on different tools, extensions and data visualisations you will find here interesting information about our system components.
This demo video will provide you with a quick overview of the Media Mining Client (MMC), SAIL LABS’ powerful graphical user interface for turning raw, unstructured cross-media and cross-lingual data from open sources into actionable knowledge and intelligence.
This demo video provides you with an overview of the SAIL LABS’ Social Media Extension (SME) to the Media Mining System, supporting collection and enrichment of advanced meta data and user information as well as image and media data from social media sources, providing the latest advances in the media mining and monitoring field, uniquely combined with previous Media Mining System media support, for an unprecedented social media analytics power tool, fully integrated as an HTML5 component in the Media Mining Client.
This component provides for recording and collecting various forms of media and data: TV and
Radio Schedule, YouTube Collection, Web Collection, Email Collection, as well as Facebook and
This demo video provides you with an overview of the Profiles and Ontology work space in the Media Mining Client. These features enable the extraction of hidden information from unstructured data, the discovery and understanding of relationships between diverse data and subsequently complex analysis thereof. The profile manager is a powerful tool enabling the enrichment of profiles without limitation. In the Ontology View you can visually resolve and automatically display the relations between profiles.
In this demo video you can learn more about the Cluster component, one of the Visual Features supported by the Media Mining Client, to show how search terms and sources relate to each other.
In this demo video you can learn more about the Relations component, one of the Visual Features supported by the Media Mining Client, to display the most closely associated named entities i.e. persons, locations, and organizations, for a chosen dataset.
In this demo video you can learn more about the Globe component, one of the Visual Features supported by the Media Mining Client, to provide an overview of all locations mentioned in the chosen data set determined by the search criteria and time range.