Combining document retrieval with knowledge graphs for exploratory search

Bahareh Sarrafzadeh, Olga Vechtomova
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Abstract

With the massive increase in information availability, it gets more and more difficult to make sense of the available information. The Web has provided the opportunity to browse and navigate through the extensive information space by utilizing the modern search engines. This in turn has led to increasing expectations to use the Web as a source for learning and exploratory discovery. Although current Information Retrieval (IR) methods satisfy simple and straight-forward needs, they do not offer enough support for the users with complex search tasks which involve learning and investigation activities. In my PhD research I aim to support different aspects of information seeking that are observed in exploratory activities. I propose a new framework based on combining knowledge graphs with document retrieval in order to effectively improve search breadth and quality.
结合文档检索和知识图谱进行探索性搜索
随着可用信息的大量增加,对可用信息的理解变得越来越困难。网络提供了利用现代搜索引擎浏览和导航广泛信息空间的机会。这反过来又导致人们越来越期望使用Web作为学习和探索性发现的来源。虽然目前的信息检索方法满足了简单直接的需求,但对于涉及学习和调查活动的复杂搜索任务的用户来说,它们没有提供足够的支持。在我的博士研究中,我的目标是支持在探索活动中观察到的信息寻求的不同方面。为了有效地提高检索的广度和质量,提出了一种基于知识图谱与文档检索相结合的框架。
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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