As we increase the threshold α, only the most relevant classes are considered and the semantic similarity values deviate more from the original.
Central to the concept-based indexing technique discussed is the concept disambiguation algorithm developed, which identifies the most relevant 'semantic DNA' (SDNA) by measuring the semantic importance of each word/phrase in the annotation.
VideoSeed, 5min Media's proprietary semantic technology, contextually matches the most relevant videos with a partner site's text content to enhance the consumer experience and increase monetization rates.
But unlike some of its competitors, which there are now many of, News360 uses semantic analysis to deliver the most relevant news of the day, including stories about your favorite topics from your favorite sources.
In order to combine these three sources of information and bring stronger semantics to the tags, we propose an algorithm that analyzes lightweight ontologies [10] generated from each source and extracts the most relevant concepts that are common to them to use as semantic tags to be recommended.
Since there is a large number of CUIs involved and not all of them are relevant to consumer heath, we used the following steps to select a subset of most relevant CUIs: Step 1: Filtering out uninformative CUIs by their semantic types.
The third experiment assesses the acceptance by real users of the semantic tags recommended by this approach considering the most relevant concepts selected from sources used and their hypernyn concepts.
The second experiment assesses the acceptance by real users of the semantic tags recommended by this approach considering only the most relevant concepts selected from the sources used.
Fiszman et al. applied the technique of information extraction (IE) to extract the entities and relations that are most relevant to a given biological concept from MEDLINE records and generate a "semantic level" summary for each concept [ 3].
We have addressed this by writing a companion tool to JUMBO, JUMBO-MathML, which builds a semantic, sub-classed DOM using the subset of content-MathML vocabulary most relevant to physical science.
