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For the Inventor, By the Inventor

Kanagawa, Japan

Masaki Komedani

USPTO Granted Patents = 14 

Average Co-Inventor Count = 3.7

ph-index = 1

Forward Citations = 4(Granted Patents)


Location History:

  • Kanagawa, JP (2014 - 2019)
  • Yokohama, JP (2012 - 2020)
  • Kanagawa-ken, JP (2019 - 2020)
  • Tokyo, JP (2022)

Company Filing History:

goldMedal14 out of 164,108 
 
International Business Machines Corporation
 patents

Years Active: 2012-2025

where 'Filed Patents' based on already Granted Patents

14 patents (USPTO):
1. 12430496 - Iteratively updating a document structure to resolve disconnected text in element blocks (2025-09-30),
2. 11361030 - Positive/negative facet identification in similar documents to search context (2022-06-14),
3. 10585929 - Large scale facet counting on sliced counting lists (2020-03-10),
4. 10585928 - Large scale facet counting on sliced counting lists (2020-03-10),
5. 10552433 - Evaluating quality of annotation (2020-02-04),
6. 10545971 - Evaluating quality of annotation (2020-01-28),
7. 10282418 - Supporting interactive text mining process with natural language and dialog (2019-05-07),
8. 10282356 - Evaluating quality of annotation (2019-05-07),
9. 10262043 - Evaluating quality of annotation (2019-04-16),
10. 9996527 - Supporting interactive text mining process with natural language and dialog (2018-06-12),
11. 9164964 - Context-aware text document analysis (2015-10-20),
12. 8930373 - Searching with exclusion tokens (2015-01-06),
13. 8639707 - Retrieval device, retrieval system, retrieval method, and computer program for retrieving a document file stored in a storage device (2014-01-28),
14. 8229934 - System and program for collecting documents (2012-07-24),

Title: Masaki Komedani: Innovator in Document Processing Technologies

Introduction

Masaki Komedani is a prominent inventor based in Kanagawa, Japan. He has made significant contributions to the field of document processing technologies, holding a total of 14 patents. His work focuses on improving the efficiency and effectiveness of digital document management.

Latest Patents

Komedani's latest patents include innovative methods for iteratively updating document structures to resolve disconnected text in element blocks. This system and method enhance the readability and coherence of digital documents by utilizing natural language processing to consolidate text information into complete sentences. Another notable patent involves positive and negative facet identification in similar documents to search context. This facet-based search processing allows for more accurate document retrieval by classifying facets based on their commonality across documents.

Career Highlights

Masaki Komedani has built a successful career at International Business Machines Corporation (IBM). His work at IBM has allowed him to develop cutting-edge technologies that address common challenges in document processing. His contributions have been instrumental in advancing the capabilities of digital document management systems.

Collaborations

Komedani has collaborated with talented individuals such as Takuma Murakami and Hiroaki Kikuchi. These partnerships have fostered innovation and have led to the development of impactful technologies in the field.

Conclusion

Masaki Komedani is a key figure in the realm of document processing innovations. His patents and career achievements reflect his dedication to enhancing digital document management. His work continues to influence the industry and pave the way for future advancements.

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