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For the Inventor, By the Inventor

Grenoble, France

Salah Ait-Mokhtar

This inventor holds 5 USPTO granted patents. Top assignee: Xerox Corporation. Active years: 2006-2019.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Salah Ait-Mokhtar. Retrieved from https://idiyas.com/inventor/salah-ait-mokhtar

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

USPTO Granted Patents = 5

% Patents Active = 60.0

Average Co-Inventor Count = 2.0

ph-index = 5

Forward Citations = 324(Granted Patents)


Location History:

  • Grenoble, FR (2006 - 2011)
  • Meylan, FR (2013)
  • Montbonnot-Saint-Martin, FR (2019)

Company Filing History:

goldMedal5 out of 24,259 
 
Xerox Corporation
 patents

Years Active: 2006-2019

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5 patents (USPTO):Explore Patents
1. 10169454 - Unsupervised ontology-based graph extraction from texts (2019-01-01),
2. 8527517 - Efficient knowledge base system (2013-09-03),
3. 8086557 - Method and system for retrieving statements of information sources and associating a factuality assessment to the statements (2011-12-27),
4. 7058567 - Natural language parser (2006-06-06),
5. 6983240 - Method and apparatus for generating normalized representations of strings (2006-01-03),

Title: The Innovative Mind of Salah Ait-Mokhtar

Introduction

Salah Ait-Mokhtar is a prominent inventor based in Grenoble, France. He has made significant contributions to the field of knowledge extraction and ontology-based systems. With a total of 5 patents to his name, Ait-Mokhtar continues to push the boundaries of innovation.

Latest Patents

One of his latest patents is titled "Unsupervised ontology-based graph extraction from texts." This method focuses on extracting a relations graph using an ontology graph, where nodes represent entity classes or concepts, and edges represent properties of these classes. The process involves receiving input text that identifies entity and concept mentions. An optimal set of alignments between a subgraph of the ontology graph and the identified mentions is determined by optimizing a function of constraint costs and a distance measure. The resulting relations graph represents a linked set of relations that instantiate a subgraph of the ontology.

Another notable patent is the "Efficient knowledge base system." This system includes a relations table with slots for a predicate identifier and first and second arguments of a respective relation. Each predicate identifier encodes a key for an entry in a predicate table, allowing for efficient data retrieval and management.

Career Highlights

Salah Ait-Mokhtar is currently employed at Xerox Corporation, where he applies his expertise in developing innovative solutions. His work has significantly impacted the field of knowledge management and extraction.

Collaborations

Throughout his career, Ait-Mokhtar has collaborated with notable colleagues, including Jean-Pierre Chanod and Vassilina Nikoulina. These collaborations have fostered a rich environment for innovation and development.

Conclusion

Salah Ait-Mokhtar is a distinguished inventor whose work in ontology-based systems and knowledge extraction continues to influence the industry. His contributions, along with his collaborations, highlight the importance of innovation in technology.

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]
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