Meaningful & Accessible Information

A mind map showing the relationship of information base on a query for quicker identification of information instead of a list of results.
A single interface with a host of user friendly search features to find answers quicker. Search features include keywords, synonyms, contextual, boolean, syntax, predictive, natural language and knowledge fabric search.
The system automatically groups, ranks and displays the most frequently mentioned terms appearing in the result set, ranking them by the semantic distance to the search seed.
The ability to conduct searches across multiple repositories.
Direct function-based questions can be asked via a bot instead of a search query in a search box.
Provide immediate best suggestions by understanding the context of the query and studying relevant past behaviours of similar queries.

Robust Information Accuracy

Recognise entities base on knowledge fabric (ontology) and expand metadata of document. Machine learning service add metadata based on classification model.

Identify, tag and connect information by relationship from various databases that will enhance knowledge discovery.

Users are able to access and retrieve assets regardless of the annotation language and the one used in the query. Currently only English and Chinese are supported for cross-language search. Other languages require development efforts.

Administration Module Functions

The New Connector Wizard is the area where you can set connector information to get started and provides a series of steps to guide you with the process.
The Connector Manager displays a dashboard with a list of connectors options which allows you to manage and facilitate the crawling of one or more data repositories.
The Automatic Entity Recognition is the area where it recognizes and extract entities based on the knowledge model (ontology) and classify them into categories such as person, organizations, or locations.
The Administrator can manage the Ontology classes, individuals, or properties and relations in the Ontology Manager. The Ontology Manager is a web-based GUI that is used in Search to automatically tag documents based on the individuals found in the document. It is also used during searches, for searching using individuals and their relationships.

In addition, the Administrator can manage the Ontology Manager by managing a class (concepts) or adding individuals and their relationships, editing or deleting concepts and their associated definitions and alternative labels (such as synonyms or abbreviations).

Reporting & Statistics Visualisation

Searches, document views, user likes/rating amongst others can be presented to external reporting or recommendation services.
Analytics interface can be customised based on an organisation’s requirement.


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