US-20260127623-A1 - SYSTEM TO CALCULATE COMPATIBILITY BETWEEN RESOURCE PROFILES

US20260127623A1US 20260127623 A1US20260127623 A1US 20260127623A1US-20260127623-A1

Abstract

A system for creating resource profiles, the system comprising resource profiles having properties from a shared database of properties based on criteria from a semantic ontology in which the properties are classified as positive goals, negative problems, or transformative solutions. In addition to the system, a process to calculate match scores between resource profiles based on compatibility, the resource profiles comprised of properties that are classified from the semantic ontology. Furthermore, a system for storing resource profiles, the system comprising resource profiles and properties that describe the profiles from the semantic ontology and a match criteria table that sets forth instructions for match conditions between profile property pairings based on the semantic ontology.

Inventors

Oliver Siegel

Assignees

Oliver Siegel

Dates

Publication Date: 20260507
Application Date: 20241103

Claims (20)

1 . A system for creating resource profiles, the system comprising resource profiles having properties from a shared database of properties based on criteria derived from a semantic ontology, wherein the properties are classified as positive goals, negative problems, or transformative solutions.
2 . The system of claim 1 further comprising a match criteria table that sets forth instructions for match conditions from the semantic ontology of properties classified as positive goals, negative problems, or transformative solutions.
3 . The match criteria table of claim 2 , the match criteria table comprised of a field to select a positive, negative, or transformative property and a label field to contextualize the use of the property for describing a resource profile to model criteria from the semantic ontology.
4 . The match criteria table of claim 2 , the match criteria table comprised of fields to configure property type pairings and evaluation questions to assess whether the property pairings between resource profiles are a match or mismatch.
5 . The system of claim 1 , further comprising a database with supply and demand profiles that model criteria from a semantic ontology comprised of properties that are classified as positive, negative, or transformative.
6 . The system of claim 5 , further comprising a process of pairing the supply and demand profiles and assessing compatibility by calculating a match score for each profile pairing in the database.
7 . The process of claim 6 comprising a subprocess that pairs all resource profiles in the database and then pairs properties of the paired profiles according to a match criteria table that sets forth instructions for match conditions from the semantic ontology of properties classified as positive goals, negative problems, or transformative solutions.
8 . The process of claim 7 further comprising a process that evaluates the property pairings and calculates a match score for each profile pairing in the database according to the match criteria table by counting the number of matched and unmatched property pairings of each profile pairing and providing a quantifiable metric to indicate the match score between profile pairings.
9 . The process of claim 8 , in which the quantifiable metric is a ratio or a percentage match score between profile pairings.
10 . The system of claim 8 further comprising a process to send users notifications with a report of compatible matches based on match scores between profile pairings.
11 . A process to calculate match scores between resource profiles based on compatibility, the resource profiles comprised of properties that are classified from a semantic ontology as positive goals, negative problems, or transformative solutions.
12 . The process of claim 11 further comprising a match criteria table that sets forth instructions for match conditions from the semantic ontology comprised of properties that are classified as positive goals, negative problems, or transformative solutions.
13 . The match criteria table of claim 12 , the match criteria table comprising a field to select a positive, negative, or transformative property and a label field to contextualize the use of the property for describing a resource profile according to criteria from the semantic ontology.
14 . The match criteria table of claim 12 , the match criteria table comprising fields to configure property type pairings and evaluation questions to assess whether the property pairings between resource profiles are a match or mismatch.
15 . The process of claim 11 , wherein the resource profiles are contained in a database comprised of supply and demand profiles modeling criteria from a semantic ontology in which profile properties are classified as positive goals, negative problems, or transformative solutions.
16 . The process of claim 14 further comprising a process to assess compatibility by calculating a match score for each profile pairing in the database.
17 . The process of claim 16 further comprising a subprocess that pairs all resource profiles in the database and then pairs the properties of the paired profiles according to a match criteria table that sets forth instructions for match conditions from the semantic ontology comprised of properties that are classified as positive goals, negative problems, or transformative solutions.
18 . The process of claim 16 further comprising a process that evaluates the property pairings and calculates a match score for each profile pair in the database according to the match criteria table that sets forth instructions for match conditions from the semantic ontology comprised of properties that are classified as positive goals, negative problems, or transformative solutions, the match score calculated by counting the number of matched property pairs of each profile pairing.
19 . A system for storing resource profiles, the system comprising resource profiles and properties that describe the profiles from a semantic ontology that classifies the properties as positive goals, negative problems, or transformative solutions, and a match criteria table that sets forth instructions for match conditions between profile property pairings based on the semantic ontology.
20 . The system of claim 19 , the match criteria table comprising fields to select a positive, negative, or transformative property and a label field to contextualize the use of the property that describes a resource profile to model criteria from the semantic ontology, and fields to configure property type pairings and evaluation questions to assess whether the property pairings used to describe the resource profiles are a match or mismatch.

Description

FIELD OF THE DISCLOSURE This disclosure relates generally to a system that uses a semantic ontology to create pairings between available supply and demand resources and subsequently alerts are sent to resource owners and resource requesters when compatible matches between supplies and demands arise. BACKGROUND In marketplaces, supply and demand allocation has increasingly relied on search algorithms designed to match providers with seekers. Decision makers are using social media platforms, dating apps, marketplaces, listings, and directory sites with keyword-based search engines to solve supply and demand problems. However, such systems often fall short of achieving true compatibility. A key challenge in the art is the convergence of matchmaking processes toward a limited number of highly optimized profiles, creating a “winner-takes-all” dynamic. This dynamic results in a market where a few profiles dominate, leaving many participants underutilized and dissatisfied. Current systems prioritize quantifiable factors like price, popularity, or ratings, amplifying the success of a small number of participants, while neglecting the potential value others might have to offer. The challenge is further compounded by the relativity and quantifiability of value. Marketplace participants assign different values to the same item based on personal preferences and context, introducing complexity in resource allocation. For instance, an antique watch might be worth $10 to a pawn shop but $100,000 to a museum. Additionally, certain qualitative properties—such as emotional significance, rarity, or transformative potential—are difficult to measure but crucial for determining an item's true value. Existing keyword-based search algorithms exacerbate this issue by focusing on sameness rather than compatibility, matching similar keywords instead of complimentary properties. Consequently, matchmaking processes on marketplaces often converge towards one optimal profile that performs best and that's in highest demand, creating high inequality and pyramid shaped markets with a few winners at the top, and many dissatisfied and underutilized participants at the bottom. Growing automation due to artificial intelligence (AI) technologies only amplifies this problem, particularly when these systems fail to provide transparent, explainable processes for the automated decisions they made. Many existing solutions further compound these existing problems, reduce diversity, and lead to cultural homogenization. Effective resource matching should involve deeper compatibility criteria that account for subjective preferences, contextual needs, and qualitative properties. Accordingly, there exists a need in the art for an approach that uses compatibility criteria for effective resource matching that allows resource owners to receive alerts when their unique resources are requested by resource seekers, or when the specialized resources that they need become available. The presently disclosed system addresses this need. SUMMARY The disclosure presented herein relates to a system for creating resource profiles, the system leveraging resource profiles with properties from a shared database of properties derived from a semantic ontology in which the properties are classified as positive goals, negative problems, or transformative solutions. The system further has a match criteria table that sets forth instructions for match conditions derived from the semantic ontology. The present disclosure further relates to a process to calculate match scores between resource profiles based on compatibility, the resource profiles containing properties derived from the semantic ontology in which the properties are classified as positive goals, negative problems, or transformative solutions. Another aspect of the present disclosure is a system for storing resource profiles with properties derived from the semantic ontology that describe the profiles, and a match criteria table that sets forth instructions for match conditions between profile property pairings based on the semantic ontology. Consumers of the system can upload demand profiles to a shared database, which constitutes the demand for resources. What makes this system unique from traditional marketplaces, listings and directory sites, and keyword-based search engines with specific filters, is the ability to create resource profiles that characterize the subjective, non-quantifiable value of resources in unique and novel ways. The preceding and following embodiments and descriptions are for illustrative purposes only and are not intended to limit the scope of this disclosure. Other aspects and advantages of this disclosure will become apparent from the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS Embodiments of the present disclosure are described in detail below with reference to the following drawings. These and other features, aspects, and advantages of the present disclosure will beco