Annotation based automatic action processing
Elias K\"arle, Dieter Fensel

TL;DR
This paper presents an approach for consuming and processing schema.org annotated web data to facilitate automatic action processing, aiming to improve structured data utilization beyond search engine optimization.
Contribution
It introduces a method for handling schema.org annotations for automatic web service and action processing, providing a potential best practice framework.
Findings
Proposes a systematic approach to schema.org data consumption
Demonstrates potential for automatic web action processing
Suggests best practices for structured data utilization
Abstract
With a strong motivational background in search engine optimization the amount of structured data on the web is growing rapidly. The main search engine providers are promising great increase in visibility through annotation of the web page's content with the vocabulary of schema.org and thus providing it as structured data. But besides the usage by search engines the data can be used in various other ways, for example for automatic processing of annotated web services or actions. In this work we present an approach to consume and process schema.org annotated data on the web and give an idea how a best practice can look like.
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Taxonomy
TopicsHuman Pose and Action Recognition · Video Analysis and Summarization · Human Motion and Animation
