Make your content ready for AI applications
Add business meaning to make content findable and query friendly
Unlock insight into your unstructured content
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
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
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.
See Mondeca content tagging tool at work
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
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
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.
Content Auto-tagging Manager
Helps metadata and media managers generate smart tags.
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.
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.
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.
Chief Content Officer
Digital Experience Manager
Metadata Team Manager
Product Metadata Manager
VP, Business Intelligence
VP, Data & Analytics
Featured projectCity of Toronto Enterprise Classification
Search and analytics for employees and general public
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.
Why Mondeca ?
Made from loosely coupled components with specific/dedicated functions
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
Highly configurable and parameterizable
Browser-based software designed for collaboration with fine access permissions
Capable of exposing the same value in both its UIs and APIs
Featured projectNew South Wales Ministry of Health
Ontology and auto-classification
Improved search experience for citizens using NSW health public websites
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 supports these use cases and requirements by providing the NSW Ministry of Health with ITM and CAM as a cloud-based service together with APIs and web services to support tight integration with the content database and search engine in place. An important feature is our ability to support multiple medical terminologies like ICD10 or SNOMED and crosswalks between them.