SYSTEM AND METHOD FOR ASSOCIATING STRUCTURED AND MANUALLY SELECTED ANNOTATIONS WITH ELECTRONIC DOCUMENT CONTENTS

• US 20040261016A1
• Filed: 06/17/2004
• Published: 12/23/2004
• Est. Priority Date: 06/20/2003
• Status: Abandoned Application

• Current Assignee: Miavia, Inc.
• Original Assignee: Miavia, Inc.
• Inventors: Glass, Jeffrey Brian, Derr, Elizabeth
• Application Number:
  US10/710,084
• Publication Number:
  US 20040261016A1
• Time in Patent Office: Days
• US Class Current: 715/230
• CPC Class Codes: G06F 16/94 Hypermedia Hyperlinking G06F40/134
• CPC Class Codes: G06Q 10/107 Computer-aided management of electronic mailing [e-mailing]
• CPC Class Codes: H04L 51/212 using filtering or selective blocking

Abstract

A system and method is provided for assisting a human document annotator in recording semantic judgments about the contents of sample electronic documents. A system administrator first configures and stores a document annotation definition at a server computer, providing a precise and consistent structure for annotating documents and portions of documents. Documents intended to serve as sample documents for pattern matching against unknown documents are collected and stored at the server computer. A human annotator located at a client computer connected by a net-work to the server computer requests a display of a sample document to be annotated. A document is transmitted in an annotatable form from the server computer to the client computer. The human document annotator reviews the annotatable document, records semantic judgments about the document using interactive controls displayed with the document, and transmits a set of selected annotation values to the server computer. The server computer then stores the values and associates them with the document. The set of annotated documents, enhanced by the addition of structured semantic judgment information, then may be queried by other document management systems, improving the accuracy with which other systems perform automated document retrieval, comparison or filtering actions.

Claims

1. A computer-controlled method of managing manual annotation of electronic documents, whereby unknown electronic documents may be more accurately identified via automatic comparisons to document patterns derived from manually annotated electronic documents, comprising a first storage means for storing at least one of a plurality of documents;

a second storage means for storing at least one of a plurality of document annotation definitions;

a third storage means for storing at least one of a plurality of selected document annotation values and at least one of a plurality of document index values identifying one of a plurality of said documents or portions thereof to which said selected document annotation values relate; and

a document annotation value capture means;

2. The method of claim 1 wherein each one of said plurality of document annotation definitions includes a document annotation type, a document annotation data format, at least two of a predetermined plurality of selectable document annotation values associated with said document annotation type and format and at least two of a plurality of annotation value labels associated with each of said selectable document annotation values.

3. The method of claim 1 comprising a means of capturing and storing at least one of said plurality of selected document annotation values and at least one of said document index values in relation to at least one of a plurality of document text substrings.

4. The method of claim 1 comprising a means of capturing and storing at least one of said plurality of selected document annotation values and at least one of said document index values for each of said plurality of document text substrings comprising one of a plurality of said electronic documents.

5. The method of claim 1 comprising a means by which said plurality of document text substrings are automatically selected prior to document annotation value capture according to a predetermined set of rules for defining consistently identifiable document text substring types.

6. The method of claim 5 wherein said rules for defining consistently identifiable document text substring types include partitioning document text into character groupings that may be selected at arbitrary locations within said document irrespective of the native or inherent text content divisions or indexing schema of said document.

7. A computer-controlled method of managing manual annotation of electronic documents, whereby unknown electronic documents may be more accurately identified via automatic comparisons to document patterns derived from manually annotated electronic documents, comprising the steps of:

(a) Providing a computer network means of data communications between at least one of a plurality of client computers each serving as a document annotation workstation and at least one of a plurality of server computers;

(b) Providing on said server computer;

i. a first storage means for storing at least one of a plurality of documents;

ii. a second storage means for storing at least one of a plurality of document annotation definitions; and

iii. a third storage means for storing at least one of a plurality of selected document annotation values and at least one of a plurality of document index values identifying one of a plurality of said documents or portions thereof to which said selected document annotation values relate;

(c) Providing for each of said document annotation workstations;

i. a display means for a simultaneous user interface screen display of at least one of a plurality of documents and at least one of a set of selectable document annotation value interactive input controls; and

ii. an input means enabling a human annotator to perform interactive entry of information and commands into said document annotation workstation;

(d) Providing on said server computer a document information distribution means configured to transmit to at least one of said plurality of document annotation workstations on demand a copy of an annotatable document including said full text of said document and including at least two of said plurality of selectable document annotation values and labels associated with said selectable document annotation values and including at least one of said plurality of document index values associated with said selectable document annotation values;

(e) Providing on said server computer an annotation reception means configured to receive and store at least one of a plurality of selected document annotation values and at least one of said plurality of document index values transmitted from at least one of said plurality of document annotation workstations;

(f) Responsive to an electronic document retrieval request, said request originated by one of a plurality of human annotators located at one of a plurality of said document annotation workstations, automatically selecting at least one of a plurality of documents stored at said server computer and transmitting to said document annotation workstation an annotatable document;

(g) Receiving and simultaneously displaying at said document annotation workstation a user interface screen display of said copy of said annotatable document and at least one of a plurality of interactive controls configured to accept input commands responsive to said human annotator'"'"'s selection of at least one of said selectable document annotation values;

(h) Providing at said document annotation workstation a screen display of an interactive control and an automated means causing, responsive to input of said human annotator, transmission to said server computer at least one of a plurality of said selected document annotation values selected by said human annotator;

(i) Responsive to receipt of said selected document annotation values from said document annotation workstation, automatically receiving and storing at said server computer said selected document annotation values and said document index values, whereby said selectable document annotation values are bound via said document index values to said document or to one of a plurality of said document text substrings.

8. The method of claim 7(b) comprising the step of accepting and storing copies of said plurality of documents from any desired source, including manual or automated forwarding of document copies from human operators or via automated document relaying systems.

9. The method of claim 7(b) comprising the step of implementing said storage means as a database, such as a relational database, configured to store said plurality of documents and other document information in a logical structure, including unique data rows or data records designated for each of said plurality of documents, and a plurality of unique data columns or data fields designated for storage of each unique type of document information.

10. The method of claim 9 comprising the step of providing data fields for storing said document information including:

(a) a data field for storing said full text of one each of said plurality of documents;

(b) a data field for storing a data record label serving as a unique document identifier;

(c) a data field for storing a value indicating the time and date when said document was inserted into said database;

(d) a plurality of data fields for storing extracts or digests of said document contents;

(e) a data field for storing a value indicating said time and date when said document has undergone an annotation procedure;

(f) a data field for storing a value indicating the identities of said plurality of human annotators who have performed annotation procedures;

(g) a plurality of data fields for storing a plurality of said selected document annotation values and said plurality of document index values.

11. The method of claim 10 wherein a plurality of said data fields are automatically populated with data whenever said plurality of document data records are created, including a plurality of data fields for:

(a) said data field for storing said full text of one each of said plurality of documents;

(b) said data field for storing a unique data record label;

(c) said data field for storing a value indicating said time and date when said document was inserted into said database;

(d) said plurality of data fields for storing extracts or digests of said document contents.

12. The method of claim 10 wherein some of said data fields are automatically populated with data when a human annotation procedure for a particular document is completed, including:

(a) said data field for storing a value indicating said time and date when said document has undergone an annotation procedure;

(b) said data field for storing a value indicating said identities of said plurality of human annotators who have performed said annotation procedures;

(c) said plurality of data fields for storing a plurality of selected document annotation values and plurality of document index values.

13. The method of claim 7f wherein said annotatable document includes said unique identifier for said selected document, said full text of said selected document, a parsed set of document text substrings derived from said document, said document text substring index values derived from said parsed set of document text substrings, and at least one of a plurality of selectable annotation values associated with said document.

14. The method of claim 7f comprising the step of originating said electronic document retrieval request by one of a plurality of means, including:

(a) an unauthenticated human annotator entering valid personal authentication information into an interactive user interface screen display of an authentication information form and activating a login control displayed on said display screen causing transmission of a code to said server computer triggering an authentication process and, if said authentication information is determined to be valid by said server computer, signifying said human annotator'"'"'s readiness to commence an annotation procedure;

(b) a previously authenticated and logged in human annotator activating an annotation session resumption control displayed on said display screen causing transmission of a code to said server computer signifying said human annotators readiness to resume a previously paused annotation procedure;

(c) a previously authenticated and logged in human annotator activating an annotation procedure completion control displayed on said display screen causing transmission of a code to said server computer signifying said human annotators completion of a first annotation procedure and readiness to commence a second annotation procedure.

15. The method of claim 7f further comprising the step of selecting only unannotated documents for transmission to one of said plurality of document annotation workstations according values stored in said database field indicating said times and dates when said plurality of documents have undergone annotation procedures, whereby said previously annotated documents may be prevented from undergoing additional and redundant annotation procedures.

16. The method of claim 7f further comprising the step of applying a predetermined and configurable rule to determine the order in which said unannotated documents are selected and transmitted to said human annotator workstation, wherein said rule may include any of the following:

(a) selecting and transmitting a next document according to said value stored in said data field indicating said time and date when said document was stored in said database;

(b) selecting and transmitting a next document according to a random selection process;

whereby said order in which one of said plurality of documents selected for said document annotation procedure may be selected in a priority order reflecting the priorities of the system operator and its users.

17. The method of claim 7(f) further comprising the step of locking each of said data records in said database for the duration of a human annotation procedure, whereby distribution of said plurality of documents from said server computer among a plurality of said human annotator workstations may be controlled and redundant concurrent reviews of said plurality of documents may be avoided.

18. The method of claim 7(f) further comprising the step of automatically identifying and discarding at least one of a plurality of duplicate and near duplicate documents prior to selecting one of said plurality of documents to be transmitted to one of said plurality of document annotation workstations, whereby redundant human annotation effort can be partially or entirely avoided and the costs of employing human annotators to annotate said documents may be minimized.

19. The method of claim 18 further comprising the step of identifying and discarding at least one of said duplicate or near duplicate documents in response to manual input of at least one of a plurality of selected search conditions.

20. The method of claim 7g further comprising the step of providing a user interface screen display control enabling said human annotator to select at least one of a plurality of display modes of said document, said display modes including:

(a) a normal or full text display mode that is consistent with how said document would be displayed or rendered in everyday use;

(b) a parsed display mode that presents each of said document text substrings comprising said document as distinct and sequential text groupings, such as a tabular array in which said document text substrings are presented in a vertical column, with one each of a plurality of said document text substrings contained in each of a plurality of table rows, said document text substrings ordered sequentially from top to bottom in the order in which said document text substrings appear in said document; and

(c) a source code display mode that displays said document in a form that includes the raw character stream composing said document including characters visible in said normal display mode and including characters comprising said document that include document metadata and document structure and formatting data;

whereby said human annotator may easily alter the manner in which said document is displayed to enable a fuller understanding of said document'"'"'s content and structure as needed to make an accurate annotation selection.

21. The method of claim 7g further comprising the step of providing a user interface screen display of controls associated with said annotatable document;

said controls including at least one of the following plurality of controls;

(a) a selectable control enabling said human annotator to indicate whether said document as a whole either meets or does not meet a specified document classification; and

(b) a selectable control enabling said human annotator to indicate one of a range of possible document topic judgments;

whereby said human annotator may select at least one of said plurality of selectable document annotation values describing said human annotators semantic judgment regarding said document'"'"'s content.

22. The method of claim 7(g) further comprising the step of providing, when said document is displayed in parsed mode, a screen display of at least one of a plurality of interactive input controls associated with each of at least one of a corresponding plurality of document text substrings, such that each of said interactive input controls are displayed in positions clearly associated with said corresponding document text substrings, such as displayed directly alongside each document text substring within one of a plurality of said table rows occupied by said document text substring.

23. The method of claim 7(g) further comprising the step of displaying, in a split user interface screen display, two or more of said plurality of documents that have been determined by an automated process as possibly similar documents, whereby said human annotator may more easily determine whether said plurality of documents are semantically equivalent or not, and whereby said human annotators ability to make a correct judgment concerning how to label potential personalization or obfuscation text may be enhanced by considering the content of more than one document at the same time.

24. The method of claim 7 wherein said documents are:

(a) email messages compatible with conventional email systems, wireless messaging systems or instant messaging systems;

(b) HTML documents.