Intelligent Topic Manager
As organizations strive to improve integration, retrieval, and reuse of their information, complex knowledge structures such as taxonomies and ontologies play an increasingly important role. Intelligent Topic Manager (ITM) supports the management of complex knowledge structures throughout their lifecycle, from authoring to delivery. As a result, knowledge representations can be created and maintained more efficiently, as well as used more effectively to classify, federate, and inter-link information:
| Collaboratively author, maintain and distribute metadata, terminologies, thesauri, ontologies, and knowledge bases |
| Organize your knowledge base on both proprietary and standard representations |
| Increase interoperability by aligning and merging multiple thesauri, taxonomies, and ontologies |
| Access information from multiple sources in a unified way |
| Improve search and navigation through annotation, faceted browsing, and cross-linking |
ITM can be either used independently to store and manage complex domain-specific knowledge structures, or as a service that enhances enterprise search, knowledge discovery, and text mining solutions.
Top advantages
| User-friendly knowledge base authoring: Generates data forms based on the desired ontology models. |
| Web-based application: ITM user interfaces can be accessed from any major Web browser. ITM server can be either installed on-site or hosted by Mondeca. |
| Rules engine: Built-in rules engine for reasoning, such as inference and validation. |
| Multilingual support: Allows to manage knowledge representations in multiple languages. |
| Top standards support: Compliance with widely used semantic standards for better data interoperability: RDF, SKOS, OWL. |
| Semantic service provider: Seamless export of semantic resources to search, text mining, and content management tools via a Web service API and triple-store synchronization. |
