Guided navigation system

• US 7,672,951 B1
• Filed: 05/12/2006
• Issued: 03/02/2010
• Est. Priority Date: 05/10/2006
• Status: Active Grant

• Current Assignee: Oracle OTC Subsidiary LLC (Oracle Corporation)
• Original Assignee: Inquira Incorporated (Oracle Corporation)
• Inventors: Bierner, Gann Alexander
• Primary Examiner(s): Ali; Mohammad
• Assistant Examiner(s): Hocker; John P
• Application Number:
  US11/383,169
• Time in Patent Office: 1,390 Days
• Field of Search: 707 2- 3, 707/5, 707/7, 707101-102, 707/10, 715/713, 345/854
• US Class Current: 1/1
• CPC Class Codes: G06F 16/38 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: G06F 16/93 Document management systems
• CPC Class Codes: Y10S 707/99942 Manipulating data structure, e.g. compression, compaction, compilation

Abstract

A navigation system is used in combination with a data retrieval system to more effectively locate the correct answers or information in search content. The navigation system provides taxonomies that identify different information categories and sub-categories (facets). Classifiers automatically classify the search content by identifying the content corresponding with associated facets. The facets, in conjunction with the associated classifiers, provide robust classification and correlation between both structured and unstructured content. Rules can be used in conjunction with the facets and classifiers to automatically control different navigation operations. The navigation system can also leverage ontologies to dynamically create taxonomies and provides unique facet expansion and intra-document classification operations.

Claims

1. A method for classifying content, comprising:

providing a taxonomy containing facets;

associating different intra-document classifiers with the facets in the taxonomy, the different intra-document classifiers defining different separate sections or sub-sections of content within each document that are each separately classified;

receiving, at a computer server, a query;

retrieving, by the computer server, documents responsive to the query;

selecting, by the computer server, different ones of the facets for classifying the retrieved documents;

identifying, by the computer server, the intra-document classifiers associated with the selected facets;

identifying, by the computer server, different individual sections or subsections within the individual retrieved documents corresponding with the identified intra-document classifiers associated with the selected facets;

identifying, by the computer server, any of the identified individual sections or subsections within the individual retrieved documents corresponding with the identified intra-document classifiers that contain similar text or concepts as text or concepts associated with the query and that also have similar text or concepts as text or concepts associated with the selected facets;

providing, by the computer server, any of the individual retrieved documents containing the identified individual sections or subsections as answers to the query; and

wherein a first portion less than all of a particular one of the individual retrieved documents is identified as being one of the identified individual sections or subsections that contains similar text or concepts as text or concepts associated with the query,

wherein a second portion less than all of the particular document is not identified being one of the identified individual sections or subsections that contains similar text or concepts as text or concepts associated with the query, and

wherein the particular document is provided as at least a part of the answers.

2. The method according to claim 1 including:

identifying different granularities of individual sections or subsections within the retrieved documents corresponding with the identified intra-document classifiers associated with the selected facets;

identifying any of the identified different granularities of individual sections or subsections within the individual retrieved documents corresponding with the identified intra-document classifiers that contain similar text or similar concepts as text or concepts associated with the query and that also have similar text or similar concepts as the text or concepts associated with the selected facets; and

providing any of the individual retrieved documents containing the identified different granularities of individual sections or subsections as answers to the query.

3. The method according to claim 1 wherein a particular one of the associated intra-document classifiers:

locates individual sections within a same one of the individual retrieved documents that comprise paragraphs, individual groupings of text separated from other text by a line space, or individual groups of text delineated from another group of text;

identifies any of the located sections that contain both the text or concepts in the query and also contain the text or concepts in the selected facets with which the particular intra-document classifier is associated; and

provides the individual retrieved documents with the identified sections as answers to the query.

4. The method according to claim 3 wherein another different one of the associated intra-document classifiers:

locates individual sentences in the individual retrieved documents;

identifies any of the individual sentences that contain both the text or concepts associated with the query and also contain the text or concepts in the selected facets with which the another different intra-document classifier is associated; and

provides the individual retrieved documents with the identified sentences as answers to the query.

5. The method according to claim 1 including using a matching language in the intra-document classifiers to identify the text or concepts associated with the selected facets.

6. A guided content navigation system, comprising:

a processor configured to;

provide a taxonomy containing facets and associate different intra-document classifiers with the facets that define different separate sections or sub-sections of content within individual documents that are each separately classified;

receive a query;

retrieve documents responsive to the query;

select different ones of the facets for classifying the retrieved documents;

identify the intra-document classifiers associated with the selected facets;

identify different individual sections or subsections within the individual retrieved documents corresponding with the identified intra-document classifiers associated with the selected facets;

the processor further configured to identify individual sections or subsections within the retrieved documents corresponding with the intra-document classifiers that contain text corresponding with text in the query and that also contain text corresponding with text representing the selected facets; and

wherein a first portion less than all of a particular one of the documents is identified as being one of the individual sections or subsections that contains text corresponding with the text in the query,

wherein a second portion less than all of the particular document is not identified being one of the individual sections or subsections that contains text corresponding with the text in the query, and

wherein the particular document is provided as at least a part of an answer to the query.

7. The navigation system according to claim 6 wherein the processor is configured to operate different ones of the intra-document classifiers for different ones of the facets and to automatically identify portions less than all of the documents associated with the text representing the facets.

8. The navigation system according to claim 7 wherein the processor is further configured to use different intra-document classification gradations for identifying different granularities of document portions associated with the facets.

9. The navigation system according to claim 8 wherein one of the intra-document classification gradations is a sentence gradation and a particular one of the intra-document classifiers uses the sentence gradation to identify sentences associated with the facets.