Characterizing Utilitarian Aggregation of Open Knowledge

S. Srinivasa, Sweety Agrawal, Chinmay Jog, Jayati Deshmukh
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引用次数: 8

Abstract

Recent initiatives in "open data" have resulted in good quality, freely available, tabular datasets on the web. However, such datasets are fragmented and arbitrarily structured and are not of much utility in isolation. To address this, there are several "open knowledge" initiatives that aim to stitch together open data elements into semantically meaningful structures. But such efforts are met with unique challenges. We argue in this paper that knowledge aggregation can be of two kinds -- encyclopedic aggregation, which aims to elucidate, and utilitarian aggregation, which aims to create actionable knowledge elements. We also argue that utilitarian aggregation is a characteristically different problem from that of conventional efforts like Freebase or DBpedia that address encyclopedic aggregation. In addition, when it comes to utilitarian knowledge, we observe that openness is not a binary condition and instead there is a need to distinguish between knowledge that is "open-ended" and knowledge that is "open." We formalize the notion of open knowledge based on how much knowledge or control does the creator of the knowledge element have about its consumers. Based on these arguments, we propose an underlying knowledge representation framework for encoding open utilitarian knowledge.
开放知识的功利性聚集特征
最近在“开放数据”方面的举措已经在网络上产生了高质量、免费的表格数据集。然而,这些数据集是碎片化的,结构是任意的,孤立地没有多大用处。为了解决这个问题,有几个“开放知识”计划旨在将开放数据元素拼接成语义上有意义的结构。但这些努力面临着独特的挑战。本文认为,知识聚合可以分为两种:以阐明为目的的百科式聚合和以创造可操作的知识要素为目的的功利性聚合。我们还认为,功利聚合是一个与Freebase或DBpedia等解决百科全书式聚合的传统努力截然不同的问题。此外,当涉及到功利主义知识时,我们观察到开放性不是一个二元条件,相反,需要区分“开放式”知识和“开放式”知识。我们将开放知识的概念形式化,其基础是知识元素的创造者对其消费者拥有多少知识或控制权。在此基础上,我们提出了一种用于开放实用知识编码的底层知识表示框架。
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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