Vanessa Lopez Garcia

This inventor holds 24 USPTO granted patents and 11 published patent applications, primarily in Knowledge Graphs. Top assignee: International Business Machines Corporation. Active years: 2016-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Vanessa Lopez Garcia. Retrieved from https://idiyas.com/inventor/vanessa-lopez-garcia

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 24 (Patent Applications = 11)

% Patents Active = 75.0

Average Co-Inventor Count = 4.7

ph-index = 3

Forward Citations = 59(Granted Patents)

Company Filing History:

24 out of 166,409

International Business Machines Corporation

patents

Years Active: 2016-2026

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Areas of Expertise:

Generative Modeling

Knowledge Graph

Text Generation

Entity Enrichment

Semantic Encoding

Policy Analysis

Automated Decision Making

Anomaly Explanation

Natural Language Processing

Data Mining

Operational Rules

Personalized Questionnaires

24 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12725679 - Generative modeling and representational learning from multi-sequence alignment and phylogenetic tree data (2026-09-01),

2. 12657483 - Rule mining using virtual knowledge graph created from text (2026-06-16),

3. 12561629 - Identifying regulatory data corresponding to executable rules (2026-02-24),

4. 12555689 - Generating potential barriers to a structured process (2026-02-17),

5. 12547905 - Probabilistic entity-centric knowledge graph completion (2026-02-10),

6. 12530388 - Automated enrichment of entity descriptions in unstructured text (2026-01-20),

7. 12488188 - Automated decision modelling from text (2025-12-02),

8. 12242801 - Blending graph predictions (2025-03-04),

9. 12217007 - Providing a semantic encoding and language neural network (2025-02-04),

10. 12216996 - Reasonable language model learning for text generation from a knowledge graph (2025-02-04),

11. 12086552 - Generating semantic vector representation of natural language data (2024-09-10),

12. 11966928 - Intelligent learning and application of operational rules (2024-04-23),

13. 11868729 - Analyzing and explaining a temporal evolution of policies and suggesting next steps (2024-01-09),

14. 11816748 - Contextual comparison of semantics in conditions of different policies (2023-11-14),

15. 11651010 - Facilitating answering questions involving reasoning over quantitative information (2023-05-16),

Title: Innovations of Vanessa Lopez Garcia

Introduction

Vanessa Lopez Garcia is a prominent inventor based in Dublin, Ireland. She has made significant contributions to the field of technology, particularly in machine learning and knowledge graphs. With a total of 17 patents to her name, her work continues to influence advancements in software development.

Latest Patents

One of her latest patents is titled "Blending graph predictions." This innovative software performs several operations, including receiving a set of graph predictions corresponding to an input text. These predictions are generated by different machine learning models. The software blends these predictions to create a plurality of candidate blended graphs, ensuring that the nodes and edges meet a minimum threshold based on selection metric values. Ultimately, it selects the candidate blended graph with the highest total combination of selection metric values as the output.

Another notable patent is "Reasonable language model learning for text generation from a knowledge graph." This invention focuses on generating a reasonable language model for text data within a knowledge graph. It involves analyzing one or more data sources and triples from the knowledge graph. The process generates training data with candidate labels associated with the triples, allowing for the training of reasonable language models based on this data.

Career Highlights

Vanessa is currently employed at International Business Machines Corporation (IBM), where she continues to innovate and develop cutting-edge technologies. Her work at IBM has positioned her as a leader in her field, contributing to the company's reputation for excellence in technology solutions.

Collaborations

Some of her notable coworkers include Marco Luca Sbodio and Natalia Mulligan. Their collaborative efforts have further enhanced the innovative projects they work on together.

Conclusion

Vanessa Lopez Garcia's contributions to technology through her patents and work at IBM highlight her as a significant figure in the field of machine learning and knowledge graphs. Her innovative spirit and dedication to advancing technology continue to inspire others in the industry.

Profile summary based on public USPTO records.

Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]

11 patents pending: