labs.mondeca.comMondeca Semantic Software - Mondeca

Mondeca Semantic Software Software ServicesLegal and privacy Accessibility info@mondeca.com US: 888-201-57-09 FR: + 33 1 44 79 00 80 Blog Français Technologie semantique Logiciels Services Société Aspects juridiques Accessibilité info@mondeca.com FR: +33 1 44 79 00 80 US: 888 201 57 09 Blog Français Bridge the gap between how humans communicate and what computers understand Request contact 3 Make your content ready for AI applications Add business meaning to make content findable and query friendly Unlock insight into your unstructured content Request contact 3 Take up your next challenge Capture and secure key enterprise metadata Reuse and apply it consistently in core systems and workflows Harness the power of graphs to solve the next enterprise challenges Learn more 3 Semantic technology for business problems For more than twenty years we have helped organizations across the private, public and academic sectors benefit from Semantic Technologies. The goal of Semantic Technology is to make computer systems understand content like text, voice, image or video. Our products help maintain meaningful business data, manage enterprise taxonomy,categorize content, define its subjects, discover items of interests, identify relationships and much more. Problems we help solve Improve content findability Match content DNA with users’ language and guide them to the relevant information Maximize content value Control content DNA to make it queryable, enable repurposing for different audiences Change data into knowledge graph Model data, metadata and crosswalks within or across data sets, make easy-to-query data Improve data quality Surface new data from content, facilitate approval and promotion to knowledge Build domain-specific taxonomy Scrape and reuse open data, avoid maintaining data maintained by others Vague or Factual Check if content is vague or factual. Test it ! Problem solving illustration People solving a problem - looking a shapes Let’s get started It is not only having the business data – it’s defining ways to use it so that problems can be successfully resolved. We work closely with you to ensure that taxonomies and semantic analysis will support intended use cases. We support and train your business and IT teams throughout the deployment and integration processes to make them totally autonomous. Content auto-tagging See Mondeca content tagging tool at work Test our content tagging online Precision in targeted alerts Identify high level topics in long texts to direct content to the right person, department or organization Context-based ad targeting Map content to targeted audiences by combining taxonomies and precise semantic rules Intelligent e-mail processing Understand incoming e-mail content, categorize and route to the right recipients Chatbots Maintain and synchronize ontologies used as knowledge bases to track topics or entities of interest in the development of domain-driven conversational systems Understand voice of customers Detect and score important messages from a mass of user generated content Efficiency in content syndication Produce relevancy scores for every single tag to further boost precision in search results when dealing with content expressing multiple subjects Mondeca’s products ITM Intelligent Taxonomy Manager Software for taxonomy, knowledge, data governance and AI program managers. An enterprise grade taxonomy software and metadata repository. Build, manage and synchronize your business data, in any language. Built-in semantic data model management Define any type of data, attributes and relationships that support your business objectives. OWL SKOS RDF Sharepoint REST CAM Content Auto-tagging Manager Helps metadata and media managers generate smart tags. Best-of-breed approach Multiple simultaneous tagging techniques: linguistic/semantic analysis, rule-based classification and machine learning! Insight into unstructured content Extract business specific information from text, image, video and voice. Multiple languages supported. Text Image Audio Video Neo4J Elastic Sharepoint REST KB Knowledge Browser Easy access to your knowledge graph, for everyone! The power of search over a graph database. Browse through your knowledge graph or through your taxonomies with a user-friendly search and graph visualizations. A web portal and a REST web service. Open your knowledge and expose valid and persistent enterprise data to a large number of users and to systems in place. RDF Neo4j Elastic Download REST Request a demo Our keywords Business specific taxonomy Controlled vocabulary Glossary, thesaurus Knowledge graph Metadata Multilingual taxonomy Ontology Semantic data model Taxonomy Terminology Vocabulary Auto-tagging Classification Content tagging Disambiguate Document clustering Inferred tags Machine learning Metadata Named entity Natural language Part-of-speech tagging Text analytics Word2vec Browse taxonomy Faceted search Full text search Graph database Knowledge graph browsing Navigate through taxonomy Semantic query Taxonomy publication Taxonomy visualization Terminology publication The people we work for We work for a broad range of people. They are information managers, business managers or civil servants. We work for clients who have in-depth knowledge of technology, we work for people focused on business issues only. We learn a lot from all of them. Analytics Manager Chief Content Officer Content Architect Digital Experience Manager Digital Transformation Leader Knowledge Manager Library & Taxonomy Manager Metadata Manager Ontologist Product Metadata Manager Sharepoint Consultant Taxonomy Specialist VP Content Strategy VP Business Intelligence VP Data And Analytics Join us Analytics Manager Chief Content Officer Digital Experience Manager Knowledge Manager Metadata Team Manager Ontologist Product Metadata Manager Sharepoint Consultant Taxonomy Manager VP, Business Intelligence VP, Data & Analytics Let’s talk! Our clients Featured project City of Toronto Enterprise Classification Search and analytics for employees and general public The project The City of Toronto has identified the need for an Enterprise Classification solution to support improved central data management, semantic tagging and classification of content, as well as dynamic integration of the City controlled vocabularies with the enterprise platforms in place. Based on the use cases and requirements Mondeca provides the City with the Intelligent Taxonomy Manager (ITM), Content Autotagging Manager (CA Manager) and Knowledge Browser (KB) as on-premises solutions together with APIs and web services to support tight integration with existing information systems. The goal of this project is to make City of Toronto content more searchable and improve the analytical capabilities for both City’s employees and the general public. Please get in touch with us to see how we can help with taxonomy management, metadata management, content tagging, semantic technology projects, deep learning or graph databases. Request a demo Why Mondeca ? Making decision Person looking at a checklist Modular Made from loosely coupled components with specific/dedicated functions Scalable Supports horizontal/vertical scaling – deploy in a high-availability environment to support heavy workloads and throughput Data model driven Designed to support any type of business data, in any character set or language Open Highly configurable and parameterizable Collaboration Browser-based software designed for collaboration with fine access permissions User experience Capable of exposing the same value in both its UIs and APIs Featured project New South Wales Ministry of Health Ontology and auto-classification Improved search experience for citizens using NSW health public websites Why Mondeca The NSW Ministry of Health needed an ontology management and auto-classification solution to improve users’ search experience on its website throught the use of relevant tags. Mondeca...