Semaphore facilitates the development of semantic models, which are used to create a set of classification rule-bases, that automatically analyze and tag information assets. With Semaphore, organizations benefit from the complete and consistent application of quality metadata across all information repositories without imposing manual processes on their users.
August 10, 2017 , Online Webinar
Join Anne Lapkin from Smartlogic and Bill Fox and Nelly Connolly from MarkLogic for a live webinar on Thursday, August 10th at 10:30 AM Central. Explore...
Smartlogic’s Semaphore is an enterprise grade semantic platform that allows organizations to realize the business value of their information. Semaphore brings structure to the unstructured, scales to manage organizational volumes, is built upon semantic standards and leverages Linked Open Vocabularies. Watch this short 5 minute video to learn about the power of Semaphore.
MoreBig Data analytics is the process of examining large data sets containing a variety of data types to reveal patterns, market trends, product information, customer preferences and other business information. With the Semaphore platform, organizations can drive effective marketing, increase revenue and improve customer service, operational efficiency and risk management.
Read moreSemaphore integrates with information management systems, workflow and search engines, graph and database technologies to solve complex problems that traditional technologies cannot. Semaphore brings structure to the unstructured, scales to manage organizational volumes, and supports industry-standard semantic vocabularies and best practices.
Read moreLeave frustrating search behind, save time, and increase efficiency with enhanced enterprise search. Semaphore queries against the meaning of a document and returns those that contain your exact query – as well as those that have related terms. Semaphore moves your enterprise search system from keyword searches to semantic search, so you find documents that are about your query instead of those that use the terms in your query.
Read moreOrganizations implement information management systems to help them make sense of their information. These systems foster collaboration and allow users to keep track of and govern their information yet without metadata they are simply information repositories. By incorporating precise and consistent metadata, information management systems become information hubs that operate effectively and add value to the organization.
Read moreFor banks, insurance companies and other organizations, replacing manual, error prone and cumbersome activities with technology-driven automation is a necessity. When organizations implement innovative technologies that automate time-consuming, labor intensive activities they improve efficiency, increase accuracy and drive down costs.
Read moreThe key difference between a financial institution and a life science organization is the domain they operate in. While the requirements of each industry differ there is an underlying commonality; the need to gain insight into structured and unstructured information and use it to mitigate risk and avoid sanctions.
Read moreEnterprise spending for information governance, securing sensitive information and compliance with an ever increasing number of mandates is a growing concern. According to Gartner, organizations spent $71 billion on information security in 2014, approximately $76.9 billion in 2015 and project this trend will continue.
Read moreText analytics describes a set of linguistic, statistical, and machine learning techniques that model and structure the information content of textual sources for the purposes of driving business intelligence, data analysis, and research.
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