论文标题
创新生态系统的知识图
Knowledge Graphs for Innovation Ecosystems
论文作者
论文摘要
创新生态系统自然可以描述为网络实体的集合，例如专家，机构，项目，技术和产品。以机器可读的形式代表这些实体及其关系并不完全可以实现，这是由于知识等抽象概念的存在，并且由于该信息的机密性，非公开性质，但即使是部分的描述也引起了人们的浓厚兴趣。作为知识图的化身的创新生态系统的表示，可以通过新的见解，即高级数据分析任务的执行。提出了一个本体来捕获基本实体和关系的本体，以及数据源的描述，可用于填充创新知识图。最后，提出了马德里大学的申请案例，以及对未来应用的见解。
Innovation ecosystems can be naturally described as a collection of networked entities, such as experts, institutions, projects, technologies and products. Representing in a machine-readable form these entities and their relations is not entirely attainable, due to the existence of abstract concepts such as knowledge and due to the confidential, non-public nature of this information, but even its partial depiction is of strong interest. The representation of innovation ecosystems incarnated as knowledge graphs would enable the generation of reports with new insights, the execution of advanced data analysis tasks. An ontology to capture the essential entities and relations is presented, as well as the description of data sources, which can be used to populate innovation knowledge graphs. Finally, the application case of the Universidad Politecnica de Madrid is presented, as well as an insight of future applications.
