Support to the process of constructing knowledge graphs from heterogeneous data sources, in different formats (unstructured and structured) and with different provenance, so that such knowledge graphs can be later exploited for added-value services.
In the context of this service, we provide your organisation with the strategic and technical support required to plan for the effective creation and use of knowledge graphs. From a strategic point of view, we will bring in our wide expertise on the strategic planning as well as hands-on creation and maintenance of Knowledge Graphs in a diversity of domains and activity sectors.
This will be based on a careful analysis of your business processes, as well as on an analysis of your main data and information sources (databases, structured and semi-structured data sources, documents, etc.).
From a technical point of view we will configure all those processes that are required in order to pre-process, transform and unify all those data sources in a single knowledge graph for your organisation. We will also align your data sources to existing knowledge graphs in your domain, as well as general ones, if relevant.
All this work will be done using a range of declarative mapping languages whenever this is possible, so as to facilitate maintenance in the future.
It may also need specific ad-hoc transformations, especially in the case of very messy data or documents. We support many types of heterogeneous data sources (databases, tabular data in CSV or Excel formats, JSON files or APIs, documents, etc.)
Knowledge graphs for digital libraries, geographical agencies, cities and regions, academic and research data, hardware and software infrastructure, legal institutions, industry 4.0, sensor networks, etc.
Knowledge graph developed for the city of Zaragoza and the usage of declarative mappings to transform structured data sources into RDF(https://doi.org/10.3390/info11030129)
SERVICE CAN BE COMBINED WITH
Can be combined with such services as:
- Natural Language Processing Pipelines
- Ontology engineering / ontology governance
- Access to data-space computing facilities
- Human Intelligence Simulator Software
- Assessment on ethical aspects of AI