Towards to Vector Plain Model

Sylvia Poulimenou, S. Papavlasopoulos, S. Kapidakis, M. Poulos
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Abstract

This paper presents a knowledge representation document model, which is based on the classic information retrieval vector model. The aim of this paper is to reduce the level of complexity of the classical vector space model (VSM) and to simplify it by presenting an implementation on the plane. Furthermore, a comparison of tf-idf weighting scheme with the introduced Vector Plain Model (VPM) is presented. This method constitutes a significant tool for searching terms through auto-correlation and an innovating link between the scientific fields of information retrieval and quantitative linguistics.
走向矢量平面模型
在经典信息检索向量模型的基础上,提出了一种知识表示文档模型。本文的目的是降低经典向量空间模型(VSM)的复杂程度,并通过在平面上实现来简化它。并将tf-idf加权方案与引入的向量平原模型(Vector Plain Model, VPM)进行了比较。该方法是一种重要的自相关检索工具,是信息检索和定量语言学科学领域之间的创新纽带。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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