Titlebook: Diversity, Divergence, Dialogue; 16th International C Katharina Toeppe,Hui Yan,Samuel Kai Wah Chu Conference proceedings 2021 Springer Natu

出生

原谅

流行

A Knowledge Representation Model for Studying Knowledge Creation, Usage, and Evolutionage, and evolution. Initial findings confirm the feasibility of the model for its purpose. Limitations of the study are discussed. Future work will try to address the recognized limitations and apply the model to large scale automated analysis to understand the knowledge production process.

GROSS

Aggregation and Utilization of Metadata for Intangible Folk Cultural Properties Using Linked Open Daon religious faiths festivals (RF) and annual observances (AO). To evaluate our data model, we defined functional requirements for the IFCP and implemented a prototype system to verify utilization feasibility of the IFCP. The prototype system shows the IFCP lists based on retrieval feature using the SPARQL query language.

草率女

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L. Bolis,J. Zadunaisky,R. Gillescollaborations indicate the increase of breadth and density for both domestic and international collaborations in AI over time. In addition, the United States produced the largest number of single-country and internationally collaborated AI publications, and China has played an important role in international collaborations in AI after 2010.

闲聊

S. H. Gruber,E. Zlotkin,D. R. Nelsongh policy and regulatory action. Ultimately, this discourse operates on similar terms across these stakeholder groups, and presents a knotted, interlinked view of regulatory, design, and policy concerns across the ecology of AI, from its data to its use.

Host142

,Staat – Gesellschaft – Individuum, be able to transfer from one device to another; and 2.) not depend on the trustworthiness of a particular device or application company. This paper concludes with recommendations for applying the CPM framework more intentionally and rigorously to people’s experiences with voice-activated systems.

GRAZE

https://doi.org/10.1007/978-3-642-76898-9analyzing ADRD caregivers’ online behaviors, we illustrate steps required by the EMC, and demonstrate its effectiveness in enhancing human experts’ representations of ADRD caregivers’ online information exchange and developing more accurate automatic classification models for ADRD caregivers’ information exchange.

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