Investing in Knowledge

With the increased interest in the semantic web and linked data, Inlecom has invested and grow significant expertise in fundamental areas such as ontologies, vocabularies, taxonomies and knowledge graphs.

Knowledge Structures

Across several client projects, Inlecom have helped clients to build taxonomies and associated structures which are used by our clients as a basis for domain-specific entity extraction, using controlled vocabularies that describe relations between concepts.


Typically, these client engagements require our expertise in building associated knowledge maps, classification schemas, semantic representations, controlled vocabularies and knowledge domains.


We have a proven experience in leveraging ontologies for formal naming and definition of the types and properties of entities, as well as the relationships between them for client domains.

Knowledge Domains

Frequently, Inlecom have built ontologies to map unlimited types of relationships between concepts, and have recognised that at certain inflexion points these can be challenging to maintain, particularly for imprecise or domain applications that are subject to frequent change or flux.

Knowledge Graphs

Inlecom have learned that knowledge graphs are far more scalable for our client engagements, and are evidence-based and flexible, typically purposed for a defined client need, and we see these evidenced and used throughout the broad industry today. They represent excellent use-cases for ontologies and can map salient entities and relationships with relative ease, and well as content and concepts.

Case study

EuTravel aims to enable travellers to organise a multimodal trip in accordance with their own criteria and providing multimodal travel service providers an effective way to deliver customised services. To address the complex problem of multimodal travelling, an Object Oriented Unified Data Structure for data exchange between distributed heterogeneous systems (Common Information Model – CIM) and the semantic version of it i.e. the EuTravel Unifying Ontology were developed. The CIM consolidates all data structures by creating a general data form. The Unifying Travel Ontology builds on and consolidates a number of existing standards across modes.

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Typical Inlecom client engagements include domains such as software engineering, informatics, ICT, ECM, Transport, bio-medical, pharmaceutical, logistics, and many more, all of which have unique domain specific ontologies for the purposes of simplification and structuring information and from which reasoning in pursuit of applied problem solving can occur.