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Knowledge Discovery

Go beyond standard search with context-aware knowledge discovery to understand intent and retrieve the most relevant results

According to IDC, knowledge workers spend roughly 30% of their workday searching for information, mainly sifting through imprecise keyword search results. Traditional engines rely on exact word strings, completely missing critical information buried across department silos.

Making organizational data instantly accessible is a business necessity. Graphwise unifies fragmented metadata into an interoperable knowledge graph. By understanding business intent and real-world meaning rather than simple text strings, it builds an intelligence layer that speaks your users’ language.

Graphwise is built on enriched metadata to return results based on a document’s deeper context and attributes. Instead of relying on exact word matches like standard search engines, it understands the actual meaning and business intent behind a user’s query.

  • Experience advanced semantic search in a user-friendly graphical interface
  • Combine the power of graph databases and SPARQL engines
  • See how the tagged concepts relate to each other visually and jump directly to related topics
  • Filter and narrow down results using smart facets derived directly from your taxonomy
  • Harmonize documents into RDF using Graph Automation, ready to be indexed via Solr or Elasticsearch

Get smart content recommendations

Surface highly relevant content that traditional algorithms overlook by mapping implicit connections rather than relying on early user ratings.

  • Use structured data and rich text annotations to recommend content immediately, without needing historical user behavior
  • Expand search criteria beyond surface-level text similarity to uncover valuable, cross-departmental insights users didn’t even know existed
  • Resolve language ambiguities with bundled concepts and incorporates external linked data (like Wikidata or DBpedia) to broaden your model

Easily set up your configuration

You don’t need a team of developers to tune your discovery engine. The Graphwise Workbench gives Subject Matter Experts an intuitive backend interface to manage, test, and deploy configurations instantly:

  • Search across multiple company projects, repositories, or departments simultaneously from a single interface
  • Adjust search relevancy scores on a scale of 1 to 100 to fine-tune exactly what users see.
  • Toggle search facets, depth, and language filters instantly through an intuitive no-code backend

Arguments that justify your investment

Relevant results in less time

By narrowing results down by user context and intent, the time spent sifting through irrelevant data lists is cut in half.

Enable employees

Eliminate the barrier of complex domain jargon. The engine translates casual search queries into domain-specific terminology, making corporate knowledge accessible to novices and experts alike.

Resurrect Legacy Assets

As data conventions change and experts leave the company, old content gets lost. Semantic indexing keeps legacy documents connected and accessible to active workflows like customer support.

Deep Dive in Semantic Footprinting

Each knowledge object is assigned a unique position in the knowledge graph. This position represents the exact combination of its inherent content and its contextual relationships, enabling deterministic, explainable AI retrieval.

1

Query

The user submits a query consisting of a natural language sentence, paragraph, or an entire document

2

Annotate & Footprint

The text passes through the semantic text mining engine, receiving its unique semantic footprint within the knowledge space

3

Expand

Matches are filtered by combining the implicit knowledge of your corporate domain model with query-specific parameters 

4

Match

The matches found thus contain both the implicit knowledge of the domain model and the query-specific adjustments

5

Recommend

The final results and recommendations are delivered with a fully traceable, controlled logic

Explore Our Success Stories:

Digital Transformation as an Accelerator for Semantic Technologies
Success Story

Digital Transformation as an Accelerator for Semantic Technologies

Wolters Kluwer used Graphwise’s Knowledge Management Suite to streamline enterprise taxonomy management and accelerate digital transformation.

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Transforming AI Reliability by Building Knowledge Graph-Powered Customer Support
Success Story

Transforming AI Reliability by Building Knowledge Graph-Powered Customer Support

Avalara used GraphRAG to establish a foundation for reliable, mission-critical AI applications in tax and financial services.

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From Silos to Smarter Search and Self-service Tools
Success Story

From Silos to Smarter Search and Self-service Tools

Using Graphwise offerings, Healthdirect Australia transformed its fragmented digital health infrastructure into a unified semantic knowledge graph.

Read more