Knowledge Graph Sample Clauses
Knowledge Graph. As mentioned in Section 2.2.4, the KG plays the role of validating the ontology design and visualisation by leveraging practical case studies and connecting data deriving from them with the designed ontology concepts. If the connection suffices to represent all relevant data in a case study, we may conclude that our ontology is well designed and conceptualised. To validate the coherency of the ontology with the domain knowledge, we did run competency questions on the instance data that we structured via the vocabulary terms of the Onassis Ontology. The validation process displays the level of expressiveness of the vocabulary. For instance, the Onassis Ontology fully supports the use case scenario in Figure 2.2, which shows the KG. The scientific version of the KG visualisation is to be seen in the Appendices (see Appendix 1J 20) or via the Github page (see the link in the footnote 21). Following the development of the Onassis Ontology based on the case study Figure 2.2 and the literature, we may conclude that the KG design (given in in a simplified format and on Github as a scientific ”puzzle” 22) indeed convinc- ingly shows that the development of a KG is possible. The validation proof is by stepwise verifying that it is possible to add selected data points derived from any new case study to the ontology. We explain Figure 2.2 23 by a straightforward use-case scenario introduc- 20 ▇▇▇▇▇://▇▇▇▇▇▇.▇▇▇/onassisontology/onassisontology/blob/main/ Appendices_PhD.pdf ▇▇▇▇▇://▇▇▇▇▇▇.▇▇▇/onassisontology/onassisontology ▇▇▇▇▇://▇▇▇▇▇▇.▇▇▇/onassisontology/onassisontology 21 22 23In the figure, individuals are represented as rectangles. Their associated datatype values are highlighted in blue. Relationships are represented as arrows. The KG follows the logic described in Figure 2.1, starting with the abstract level and following with the physical level. That is to say, once the legal expert has selected a scope and defined the risks and questions for an agreement, 2.4. Research Results 37 Top Automation Application Communications Application Risk Application 1 Infor Industry Cloud Vlocity (Sales- force) Cloud and Mobile Soft- ware Aravo Solutions Third-Party ment Manage-
Knowledge Graph. A knowledge graph acquires and integrates information into an ontology and applies a ▇▇▇▇▇▇▇▇ to derive new knowledge. Our ontology emphasises how communications and risk data contribute to the development of an effective and responsible contract automation, which re- duces the need for the physical involvement of legal experts. To avoid any confusion, the Onassis Ontology is only used as a larger technological solution for contract automation, whereas its formal descriptions will be used to drive the automation at a later point, since the ontology in itself does not directly automate anything.