Software solutions provided by Qwam are developed by Qwam teams that have high level skills in internet technologies. Qwam solutions embed a unique mix of open source components and of business process and technical components developed by Qwam.
Search engine and content enrichmentQwam makes use in its solutions of the open source search engine Lucene SolR for which Qwam has acquired a high level expertise with several dozen of successful search engine projects. For implementation of these solutions, Qwam was able to migrate applications based on other proprietary search engines and/or to implement advanced search and faceted navigation applications, combined with its content enrichment module for automatic semantic metadata generation. Qwam has conducted projects with large scale press and content archives amounting to 20 millions articles. Qwam has also extended skills in the use of other open source engine, especially Sphinx (used by Qwam its web crawl datacenter containning more than 30 million articles.
Content Management and Collaborative WorkflowQwam’s content management system has been developed to manage effectively several document types (news feeds, press article, photo, video, web information, scientific article, patent, reports, etc…) which are present within Qwam applications. These components enable personalized metadata and templates adapted to each application and client’s needs. The module also integrates functions for managing multiple vocabularies and thesauri (topic lists, topic tree, thesaurus, etc.) answering all needs for document management. Finally a workflow module allows organizing rights, tasks and processes of various administration roles.
Real time web crawlingQwam a developed a real time crawler which can monitor selectively web sites and feeds with less that one minute time frame. This crawler is the foundation of the solution Ask’n’Read for real-time web monitoring. The solution also uses MongoDB for the management of crawled informations.
Big dataQwam makes use of big data technologies, especially MongoDB and has implemented its use within its web crawling datacenter which processes daily several millions of web articles and informations.
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