Method and system for detecting semantic events

• US 7,177,861 B2
• Filed: 11/14/2003
• Issued: 02/13/2007
• Est. Priority Date: 01/23/2001
• Status: Expired due to Fees

• Current Assignee: Intel Corporation
• Original Assignee: Intel Corporation
• Inventors: Qian, Richard J., Tovinkere, Vasanth R., Epshteyn, Eugene
• Primary Examiner(s): HWANG, JOON H
• Application Number:
  US10/714,390
• Publication Number:
  US 20040153288A1
• Time in Patent Office: 1,187 Days
• Field of Search: 707 1- 10, 707100-1041, 702176-181, 382/100, 382/103, 382/107, 382/154
• US Class Current: 1/1
• CPC Class Codes: G06N 5/04 Inference or reasoning models
• CPC Class Codes: Y10S 707/99933 Query processing, i.e. searching

Abstract

A method and system is provided for detecting occurrences of semantic temporal events based on observations extracted from input data and event models. The input data is fed into the system from some data source. Based on specified event to be detected, multiple-layer models corresponding to the event are retrieved. The models are used to determine the types of temporal observations to be extracted from the input data. The extracted temporal observations are then used, in combination with the multiple-layer models of the event, to detect the occurrences of the event.

Claims

1. A method of querying a semantic temporal event, said method comprising:

retrieving multiple-layer models corresponding to said semantic temporal event;

receiving temporal observations that are extracted, from at least one data source, according to said multiple-layer models for the semantic temporal event;

detecting one or more occurrences of the semantic temporal event based on said temporal observations and said multiple-layer models by supplying said temporal observations to said multiple-layer models;

characterizing said one or more occurrences of the semantic temporal event, detected by said detecting, to produce a characterization;

storing said characterization;

building indices to said temporal observations based on said characterizing;

performing temporal event prediction based on said characterization;

revising said multiple-layer models for said semantic temporal event based on said characterization;

simulating parts of said semantic temporal event according to said characterization;

receiving a query request from a client;

retrieving data requested by said client based on said indices; and

sending said data to said client.

2. The method according to claim 1, wherein said query request is received at a search engine server.

3. The method according to claim 1, further including storing said temporal observations in a data storage, and wherein said data requested by said client is retrieved from said data storage.

4. The method of claim 1, wherein the indices are based on at least one of a detected event, an event statistic, or an event action description.

5. The method of claim 1, wherein said query request includes a semantic temporal event.

6. The method of claim 1, wherein said query request includes statistics of a sports game.

7. The method of claim 1, wherein said query request includes statistics of occurrences of a semantic temporal event.