Condition scoring for a property appraisal system

• US 20050154657A1
• Filed: 01/12/2005
• Published: 07/14/2005
• Est. Priority Date: 01/12/2004
• Status: Abandoned Application

• Current Assignee: Blue Lime Software, Inc.
• Original Assignee: Blue Lime Software, Inc.
• Inventors: Kim, Christopher D. Y., Gadd, Charles J., Cope, Andrea, Silva, Santiago
• Application Number:
  US11/034,456
• Publication Number:
  US 20050154657A1
• Time in Patent Office: Days
• US Class Current: 705/30
• CPC Class Codes: G06Q 20/207 Tax processing
• CPC Class Codes: G06Q 40/12 Accounting

Abstract

An appraisal system obtains reliable information relating to subjective property characteristics of a property and quantifies the contributions of such subjective characteristics on the value of the property. An appraiser enters subjective property information regarding a subject property into the appraisal system, which evaluates other properties using property data obtained from property databases to identify comparable properties. Key condition data for the comparable properties is extracted from subjective property characteristics available from the real estate property data. The key condition data for both the subject property and the comparable properties is catagorized and assigned condition scores based on the characteristic'"'"'s impact on the property valuation. The condition scores for each property are combined into composite condition scores, which can be quantifiably compared with property characteristics to assist in selecting comparable properties. The condition scores of the subject property may also be employed to adjust the resulting appraisal value.

Claims

1. A computer program product encoding a computer program that executes a computer process for quantifying condition of a real estate property, the computer process comprising:

receiving real estate property data that includes a plurality of subjective condition characteristics relating to the real estate property;

extracting key condition data from the subjective condition characteristics in the real estate property data;

categorizing elements of the key condition data from the real estate property data into one or more predefined condition categories, each predefined condition category being associated with a condition contribution score; and

associating a condition contribution score with the real estate property, if an element of the key condition data is categorized in the predefined condition category associated with the condition contribution score.

2. The computer program product of claim 1 wherein the computer process further comprises:

combining the condition contribution scores for the real estate property to generate a composite condition score that reflects the condition of the real estate property.

3. The computer program product of claim 1 wherein the computer process further comprises:

generating a composite condition score for a subject real estate property based on the condition contribution scores;

generating a composite condition score for a plurality of other real estate properties; and

ranking the other real estate properties in order to identify the most similar comparable properties relative to the subject real estate property, based on the composite condition score of the subject real estate property and the composite condition score of the other real estate properties.

4. The computer program product of claim 1 wherein the computer process further comprises:

generating a composite condition score for a subject real estate property based on the condition contribution scores;

computing a value of the subject real estate property based on a plurality of comparable real estate properties; and

adjusting the value of the subject real estate property based on the composite condition score.

5. The computer program product of claim 1 wherein the real estate property data is received from a multiple listing service.

6. The computer program product of claim 1 wherein the real estate property data is received from a property tax database.

7. The computer program product of claim 1 wherein the extracting operation comprises:

pattern matching text in the subjective condition characteristics of the real estate property data to identify one or more predetermined phrases as the key condition data.

8. The computer program product of claim 1 wherein the categorizing operation comprises:

associating each element of the key condition data with at least one of the predefined condition categories.

9. A method of quantifying condition of a real estate property, the method comprising:

receiving real estate property data that includes a plurality of subjective condition characteristics relating to the real estate property;

extracting key condition data from the subjective condition characteristics in the real estate property data;

categorizing elements of the key condition data from the real estate property data into one or more predefined condition categories, each predefined condition category being associated with a condition contribution score; and

associating a condition contribution score with the real estate property, if an element of the key condition data is categorized in the predefined condition category associated with the condition contribution score.

10. The method of claim 9 further comprising:

combining the condition contribution scores for the real estate property to generate a composite condition score that reflects the condition of the real estate property.

11. The method of claim 9 further comprising:

generating a composite condition score for a subject real estate property based on the condition contribution scores;

generating a composite condition score for a plurality of other real estate properties; and

ranking the other real estate properties in order to identify the most similar comparable properties relative to the subject real estate property, based on the composite condition score of the subject real estate property and the composite condition score of the other real estate properties.

12. The method of claim 9 further comprising:

generating a composite condition score for a subject real estate property based on the condition contribution scores;

computing a value of the subject real estate property based on a plurality of comparable real estate properties; and

adjusting the value of the subject real estate property based on the composite condition score.

13. The method of claim 9 wherein the real estate property data is received from a multiple listing service.

14. The method of claim 9 wherein the real estate property data is received from a property tax database.

15. The method of claim 9 wherein the extracting operation comprises:

pattern matching text in the subjective condition characteristics of the real estate property data to identify one or more predetermined phrases as the key condition data.

16. The method of claim 9 wherein the categorizing operation comprises:

associating each element of the key condition data with at least one of the predefined condition categories.

17. A system for quantifying condition of a real estate property, the system comprising:

means for receiving real estate property data that includes a plurality of subjective condition characteristics relating to the real estate property;

means for extracting key condition data from the subjective condition characteristics in the real estate property data;

means for catagorizing elements of the key condition data from the real estate property data into one or more predefined condition categories, each predefined condition category being associated with a condition contribution score; and

means for associating a condition contribution score with the real estate property, if an element of the key condition data is categorized in the predefined condition category associated with the condition contribution score.

18. A system for quantifying condition of a real estate property, the system comprising:

a data base that receives real estate property data including a plurality of subjective condition characteristics relating to the real estate property; and

an appraisal valuation engine that extracts key condition data from the subjective condition characteristics in the real estate property data, categorizes elements of the key condition data from the real estate property data into one or more predefined condition categories, wherein each predefined condition category being associated with a condition contribution score, and associates a condition contribution score with the real estate property, if an element of the key condition data is categorized in the predefined condition category associated with the condition contribution score.