For the basic
annotation system, we adopted our previous prototype system [6, 23], and implemented experimental conditions on top of it.
Based on gene ontology (GO) database which contains the cellular components
annotation information, the subcellular location of unidentified protein was annotated according to the location of neighbor proteins referring to the method of Alexei Vazquez's work (Vazquez et al., 2003).
When researchers or students create free
annotation accounts, they can then use the tool to annotate content, regardless of its format, anywhere on the web.
(2013) proposed linked
annotation. This is an innovative artifact for online discussion in which there is an overarching notion of a challengeable function linking a participant's contributions with the entire related text provided by the other participants or an instructor.
As an example, steps are being taken to develop standard
annotation formats for more sophisticated language understanding concepts like time, pronoun reference, "modal" concepts like "should" and "can," and dialogue acts.
Most conventional and common strategies for image retrieval use some technique for including metadata such as captioning, keywords, or descriptions with the goal that can be performed over the
annotation words.
To face this challenge, collaborative systems should become smart, in order to be able to effectively support users both in the individual activity of resource
annotation and in the collaborative task of defining a shared, meaningful, and useful view over them.
Semantic
annotation in the area of text
annotation is the process of associating machine-understandable labels (i.e., semantic information, ontology concepts' URI) to a word or a sentence from text [10].
In the past decade, considerable research efforts [3-12] have been made for automatic
annotation. They can be roughly classified into three types of models: discriminative model, generative model, and nearest neighbor model.
Lussier, "Information theory applied to the sparse gene ontology
annotation network to predict novel gene function," Bioinformatics, vol.
California [United States], November 28 ( ANI ): Those annoying video
annotations on YouTube will finally be removed by default starting early 2019, Google has announced.
The move seems to be correct because YouTube says that more than 70 percent of the watch time comes from mobile devices and these
annotations are exclusive to the desktop version of the platform.
