"document structure" is the correct and usable in written English.
It is a term used to refer to the way a document is organized, either electronically or on paper. For example, you might say, "This document has a logical structure, with each paragraph building on the last."
According to Garvin et al.'s [ 29] notion of degree of document structure, the shown example is semi-structured because it has a moderate degree of alignment and organization.
Our approach models the semi-structured and structured information as graphs, and make use of a Virtual Document Structure Aware Inverted Index (VDSAII).
It allows domain-specific definition of tags and hierarchical document structure.
Document structure, templates, and commonly used syntax will be introduced and practiced during this hands-on workshop.
The tacit business intelligence defined as rules, knowledge repositories and document structure are the nodal agents of this approach.
Covers models such as n-grams, finite state automata, and context-free and mildly context-sensitive grammars, for analyzing phonology, morphology, syntax, semantics, pragmatics, and larger document structure.
As XML documents contain both content and structure information, taking advantage of the document structure in the retrieval process can lead to better identify relevant information units.
However, the nature and the design of file system or relational database schema may cause limitations on fitting with XML document structure.
Essie shows that a judicious combination of exploiting document structure, phrase searching, and concept based query expansion is a useful approach for information retrieval in the biomedical domain.
On the other hand, we demonstrated in previous research that the perception of the document structure plays an important role in its memorization.
This paper proposes a novel framework for information access utilising state-of-the-art computational technologies and introducing the use of multiple document structure views through decomposition schemes.
