Back to results
US 6,665,836 B1Granted
Method for managing information on an information net
AssigneeSiemens Corporate Research, Inc.
InventorsMichael J. Wynblatt, Daniel C. Benson
Life of this patent
Estimating the term…
Abstract
A method for managing document information on an information net, such as the World Wide Web (WWW), comprises the steps of inputting a structured document; extracting selected document properties from the structured document; forming a feature vector representative of the properties; and forming a caricature derived from the feature vector.
Claims14
A method for managing document information on an information net, comprising the steps of:
- (a) inputting a structured document;
- (b) extracting selected document properties from said structured document wherein said step of extracting selected document properties comprises a step of extracting properties relating to link density from said structured document by the steps of:
- (A) counting the number T of rendered text characters in said document,
- (B) counting the number L of hyperlink characters contained within hyperlink anchors in said document,
- (C) counting the number I of hyperlinks within images and maps in said document, and
- (D) calculating said link density D, wherein D=(T−L)+(I*C), where C is a constant;
- (c) forming a feature vector representative of said properties;
- and
- (d) outputting said feature vector.
6 more elements
A method for managing document information on the World Wide Web (WWW), comprising the steps of:
- inputting a structured document derived from said WWW;
- extracting from said structured document data, including any of:
- (a) basic document properties,
- (b) media content data
- (c) link density data by counting the number T of rendered text characters in said document, counting the number L of hyperlink characters contained within hyperlink anchors in said document;
- counting the number I of hyperlinks within images and maps in said document;
- calculating said link density D, calculating D=(T−L)+(I*C), where C is a constant;
- (d) document complexity data from said structured document, and
- (e) a representative image from said structured document by the steps of:
- selecting an image from said structured document, determining relevant attributes (a1, . . . an), allocating a weight to said image as W=(a1w1+ . . . +anwn), comparing said weight of said image with weights allocated respectively to any other images heretofore selected from said structured document, if said image exhibits a larger W than any of said weights allocated respectively to any other images heretofore selected from said structured document, then designating said image as a Best Image in place of any image heretofore so designated as a Best Image, repeating the foregoing steps by selecting a further image from said structured document, until no images remain unselected in said structured document, and
- outputting the last image to be designated a Best Image, and
- forming a feature vector representative of said properties;
- inputting a caricature template;
- forming a caricature from said template and said feature vector;
- and
- outputting said caricature.
13 more elements
Dependencies are inferred from the claim text.