Exploring the Unexplored: Identifying Implicit and Indirect Descriptions of Biomedical Terminologies Based on Multifaceted Weighting Combinations.

Sung-Pil Choi

doi:10.1155/2016/1637580

Abstract

In order to achieve relevant scholarly information from the biomedical databases, researchers generally use technical terms as queries such as proteins, genes, diseases, and other biomedical descriptors. However, the technical terms have limits as query terms because there are so many indirect and conceptual expressions denoting them in scientific literatures. Combinatorial weighting schemes are proposed as an initial approach to this problem, which utilize various indexing and weighting methods and their combinations. In the experiments based on the proposed system and previously constructed evaluation collection, this approach showed promising results in that one could continually locate new relevant expressions by combining the proposed weighting schemes. Furthermore, it could be ascertained that the most outperforming binary combinations of the weighting schemes, showing the inherent traits of the weighting schemes, could be complementary to each other and it is possible to find hidden relevant documents based on the proposed methods.

Highlights

Technical terms connote specific technological concepts concisely and play pivotal roles in presenting and leading major points of arguments in scholarly discourses [1]
While the use of standardized technical terms is very common in writing scientific literatures, we frequently witness verbose and descriptive linguistic expressions denoting the meaning of those terms in textual documents rather than using the terms directly
This paper introduced novel combinatorial weighting approaches of manipulating the term definitions as well as target databases to effectively find conceptual expressions of technical terms in the biological domains

Summary

Introduction

Technical terms connote specific technological concepts concisely and play pivotal roles in presenting and leading major points of arguments in scholarly discourses [1] They are commonly used as search queries in scholarly information retrieval. They are apt to describe the technical constituents (e.g., terms and jargons) of their documents more clearly by giving the detailed explanations. Even if this case is relatively unusual, some authors do not know the existence of the technical terms representing their verbose expressions [6]

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