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Information retrieval on oncology knowledge base using recursive paraphrase lattice.

Koichi Akabe1, Toshiki Takeuchi1, Takashi Aoki1

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Oncologists can now find cancer genomic medicine information faster. Our novel search method uses deep paraphrases to overcome terminology challenges in gene variant annotation.

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Cancer genomicsCorpusDatabaseInformation retrievalParaphraseSynonym

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Area of Science:

  • Genomic Medicine
  • Bioinformatics
  • Information Retrieval

Background:

  • Oncologists require comprehensive data retrieval from diverse knowledge bases for cancer genomic medicine.
  • Challenges exist in searching due to paraphrasing, abbreviations, and foreign language terminologies for genes, drugs, and diseases.
  • Efficiently accessing gene variant annotation resources is crucial for clinical decision-making.

Purpose of the Study:

  • To develop an advanced search method that addresses the complexities of terminology variations in biomedical knowledge bases.
  • To enable oncologists to swiftly and effortlessly retrieve essential gene variant annotation resources.
  • To improve the comprehensiveness and accuracy of information retrieval for cancer genomic applications.

Main Methods:

  • A novel search methodology was developed, incorporating deep paraphrase identification and expansion.
  • The method recursively identifies paraphrases using paraphrase corpora to build a comprehensive search space.
  • A paraphrase lattice is generated, and feedback mechanisms are incorporated for result selection and query refinement.

Main Results:

  • The proposed method significantly improved the retrieval of critical annotation information compared to conventional search systems.
  • It successfully identified relevant data missed by simple paraphrasing techniques.
  • Experimental results demonstrated enhanced retrieval capabilities for gene variant annotation.

Conclusions:

  • The developed deep paraphrase search method offers a practical and effective solution for oncologists.
  • It enhances the ability to access vital information in cancer genomic medicine.
  • The system provides a significant advancement in searching complex biomedical knowledge bases.