An Executable Knowledge Base for Clinical Practice Guideline Rules

Quimbaya, Alexandra Pomares; Muñoz, Óscar; Londoño, Darı́o; Bohórquez, Ricardo; García, Olga Milena; González, Rafael A.; Amórtegui, María Patricia; Rodriguez, Stephanne; Bustamante, Álvaro

doi:10.1016/j.protcy.2014.10.164

Cited by 4 publications

(1 citation statement)

References 9 publications

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“…Knowledge is an important asset in all enterprises. For instance, Gutiérrez-Cuellar and Gómez-Pérez (2014) propose the HAVAS Knowledge Graph that aims to collect information from start-up, innovators, and tech companies; Amato et al (2017) present KIRA that gathers data from user, social media, and multimedia data sources; Quimbaya et al (2014) propose EXEMED that is a knowledge base for structuring clinical guidelines; Achichi et al (2018) propose DOREMUS, a knowledge graph of music works and events; and an Amazon product knowledge graph is led by Dong (2018). Knowledge is being continuously gathered and maintained in order to serve several purposes, from providing a common unified view on all data resources of the enterprises to powering their applications.…”

Section: Knowledge Curationmentioning

confidence: 99%

Semantic Web Empowered E-Tourism

Angele¹,

Fensel²,

Huaman³

et al. 2020

Handbook of E-Tourism

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Smart speakers such as Alexa and later Google Home have introduced Artificial Intelligence (AI) into millions, soon to be billions of households, making AI an everyday experience. These new communication channels present a new challenge for successful e-Marketing and e-Commerce providers. Data, content, and services are becoming semantically annotated, allowing software agents, socalled bots, to search through the web and understand its content. Nowadays, users typically consult their bot to find, aggregate, and personalize information and to reserve, book, or buy products and services. As a consequence, it is becoming increasingly important for touristic providers of information, products, and services to be prominently visible in these new online channels to ensure their future economic maturity. In our chapter, we survey the methods and tools helping to achieve these goals. The core aim is the development and application of machine-processable (semantic) annotations of content, data, and services, as well as their aggregation in large Knowledge Graphs. It is only through these methods bots are able to answer a question in a knowledgeable way and organize a useful dialogue (Knowledge Graphs in Use A significantly extended and generalized version of this article will appear as D.

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Section: Knowledge Curationmentioning

confidence: 99%