Method for entity-driven alerts based on disambiguated features

• US 9,336,280 B2
• Filed: 12/02/2014
• Issued: 05/10/2016
• Est. Priority Date: 12/02/2013
• Status: Active Grant

• Current Assignee: Finch Computing LLC (Qbase, LLC)
• Original Assignee: Qbase, LLC
• Inventors: Lightner, Scott, Weckesser, Franz
• Primary Examiner(s): PHILLIPS, III, ALBERT M
• Application Number:
  US14/558,121
• Publication Number:
  US 20150154195A1
• Time in Patent Office: 525 Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/355 Class or cluster creation or modification

Abstract

A method for entity-driven alerts based on disambiguated features, is disclosed. According to an embodiment, disclosed method may refer to entity-driven alerts based on trending or new knowledge of a disambiguated feature. The alerts may be sent to a user when new knowledge is discovered about the disambiguated feature, a new association (such as new features, facts, quotations, or topic IDs related, among others) with the feature of interest, and/or new trending changes are emerging about the feature of interest. According to various embodiments, method for entity-driven alerts based on disambiguated features may reduce the number of false positives resulting in a normal search query. Which in turn, may increase the efficiency of monitoring, allowing for broadened universe of alerts.

Claims

1. A computer-implemented method comprising:

disambiguating, by a disambiguation computer, a document feature from an electronic document by way of;

extracting, by a feature extraction computer, the document feature from the electronic document, and

linking, by a linking computer, the extracted document feature to one or more document features stored in a knowledge database of co-occurring document features of a plurality of electronic documents;

assigning, by a scoring computer, to the disambiguated document feature a confidence score indicative of a level of confidence associated with a degree of disambiguation of the document feature;

adding, by an in-memory database computer, the disambiguated document feature to the knowledge database of co-occurring document features when the disambiguated document feature matches a document feature of interest in an alert database based at least in part on the confidence score, the alert database storing one or more records of one or more features of interest, each respective record indicating one or more disambiguated features in the knowledgebase database matching the feature of interest;

generating, by the in-memory database computer, a notification containing an alert formulated by the in-memory database computer according to one or more alert specifications in the record of the feature for the feature of interest; and

adding, by the in-memory database computer, the disambiguated document feature to the knowledge database of co-occurring document features based at least in part on a distance in text from a link location in the electronic document, wherein the distance is based on a closeness in text to the link location in the electronic document.

2. The method of claim 1, further comprising sending the alert to a user device when the disambiguated document feature is indicative of new information in the knowledge database of co-occurring document features.

3. The method of claim 1, further comprising sending an alert to a user device when the disambiguated document feature is indicative of a new association with one or more features in the knowledge database of co-occurring document features.

4. The method of claim 1, further comprising sending an alert to a user device when a volume of documents associated with the disambiguated feature meets or exceeds a predetermined threshold.

5. The method of claim 4, wherein the predetermined threshold is a daily average number of documents associated with the disambiguated feature.

6. The method of claim 1, wherein the disambiguated document feature is selected from the group consisting of a topic, a document entity, an event, and a sentiment.

7. The method of claim 1, further comprising associating, via the feature extraction computer module, one or more attributes with the document feature.

8. A system comprising:

a disambiguation computer configured to disambiguate a document feature from an electronic document by being further configured to extract a document feature from an electronic document, and link the extracted document feature to one or more document features stored in a knowledge database of co-occurring document features of a plurality of electronic documents;

a scoring computer configured to assign to the disambiguated document feature a confidence score indicative of a level of confidence associated with a degree of disambiguation of the document feature;

an alert database comprising non-transitory machine-readable storage media configured to store one or more records of one or more features of interest, each respective record indicating one or more disambiguated features in the knowledgebase database matching one or more feature of interests; and

an in-memory database computer configured to add the disambiguated document feature to the knowledge database of co-occurring document features when the disambiguated document feature matches a document feature of interest in an alert database based at least in part on the confidence score, the in-memory database computer further configured to generate a notification containing an alert formulated according to one or more alert specifications contained in the record for the feature of interest,

wherein the in-memory database computer is further configured to add the disambiguated document feature to the knowledge database of co-occurring document features based at least in part on a distance in text from a link location in the electronic document, wherein the distance is based on a closeness in text to the link location in the electronic document.

9. The system of claim 8, wherein the in-memory database computer is configured to send the alert to a user device when the disambiguated document feature is indicative of new information in the knowledge database of co-occurring document features.

10. The system of claim 8, wherein the in-memory database computer is configured to send an alert to a user device when the disambiguated document feature is indicative of a new association with one or more features in the knowledge database of co-occurring document features.

11. The system of claim 8, wherein the in-memory database computer is configured to send an alert to a user device when a volume of documents associated with the disambiguated feature meets or exceeds a predetermined threshold.

12. The system of claim 11, wherein the predetermined threshold is a daily average number of documents associated with the disambiguated feature.

13. The system of claim 8, wherein the disambiguated document feature is selected from the group consisting of a topic, a document entity, an event, and a sentiment.

14. The system of claim 8, wherein the disambiguation computer module is further configured to associate one or more attributes with the document feature.