Microsoft Technology Licensing, LLC

Rodrigo Lopez

Khaled Salah Sedky

Oliver H Foehr

Jerry Jay Dunietz

Ming Gang Liu

Jesse D McGatha

Ahmet Gurcan

Eric Stanfield Leese

Jeffrey G Brown

Semantic objects are created that provide a structure for markup language representations of documents. The semantic objects include text runs that are produced from the markup language representation and that are placed into semantic blocks that group text runs according to how text is logically structured in the document being represented. The text runs of each semantic block are ordered to correspond to the logical order of the document being represented. The semantic blocks corresponding to each page of the document being represented are ordered to correspond to the logical order of the document being represented. The ordered semantic blocks including the ordered text runs are saved as a semantic object which can they be utilized to make use of the logical structure of the document being represented by the markup language.

Creation of semantic objects for providing logical structure to markup language representations of documents

Various technologies and techniques detect lists in vector graphics based documents and use them in meaningful ways. The system detects at least one list in a vector graphics based document using a set of rules. Pattern detection logic identifies characters, symbols, numbers, letters, and/or images that may start a list. Additional pattern detection logic determines if a list exists. The system can identify and parse bulleted lists, numbered or lettered lists, and nested lists that are any combination of both. Once identified, the content is translated into a modified format. The content can be output to a destination application in the modified format that is more suitable for output or use by the destination application.

Detection of lists in vector graphics documents

Techniques relating to story tracking for fixed layout markup documents are described. In one instance, a process identifies stories contained in a fixed layout markup document. The process also determines which portions of the fixed layout markup document relate to an individual story.

Story tracking for fixed layout markup documents

Various technologies and techniques detect tables in vector graphics based documents and use them in meaningful ways. The system detects at least one table in a vector graphics based document using a set of rules. The rules include analyzing a set of content representing horizontal and vertical lines to find intersections and identifying table cells based on the intersections. Once identified, the table content is translated into a modified format. The content can be output to a destination application in the modified format that is more suitable for output or use by the destination application.

Analyzing lines to detect tables in documents

Techniques relating to structural context for fixed layout markup documents are described. In one instance, a process defines content and associated positional information of a document with a set of content markup. The process also specifies a structural configuration for the document relative to at least some of the content markup, such that the structural configuration is separate from the content markup.

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Rodrigo Lopez