Sentence examples for document semantics from inspiring English sources
CDA includes a specification of document semantics and is based on the HL7 reference information model (RIM) [ 8].
A more formal characterization of this semantic framework can be found in the supplemental document Kripke-Style Semantics for SDL To illustrate the workings of this framework, consider NC (OB-D), OBp → ~OB~p.
This enables the comparisons of the query and the documents based on semantics.
While capturing the semantics of documents, statistical semantic model computes the similarities between documents with co-occurrence matrix of terms, and embedded vector model uses neighbor(s) to represent the meaning of a target term; however, both of them cannot describe the term orders in a document.
By clearly embedding the semantics ofthe document with the raw data we hope to limit or eliminate ambiguity when datadocuments are indexed, searched or otherwise processed and enable scientificdiscovery through simple and robust interfaces.
This results in improvements in the study of hidden semantics of documents compared with previous models like Latent Semantic Indexing (LSI) [ 3], probabilistic LSI [ 4], vector semantics [ 5] and so on.
PLSA is the basic probabilistic latent semantic analysis method, HDP-LDA extends LDA by modeling topics with hierarchical Dirichlet generation process, seTF-IDF is a term frequency inverse document frequency method that takes semantics into consideration, and DSSM analyzes semantics by denoting each document with a set of triple characters.
The key building block is the Resource Description Framework (RDF), which provides a way to refer to different objects (such as sets of data) and the relationships between them the underlying semantics of documents and data.
Emotions can be incorporated in text documents either using the semantics of the content or through the visual typographic cues.
A hybrid similarity is used to synthesize the global and local semantics in documents to improve the retrieval accuracy.
In this work we present a practical metric to quantify readability in WSDL documents – attending to their semantics by using WordNet as the underlying concept hierarchy.
