Characterizing Utilitarian Aggregation of Open Knowledge

Characterizing Utilitarian Aggregation of Open Knowledge
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开放知识的功利主义聚合的特征

DOI:
10.1145/2567688.2567689
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发表时间:
2014
期刊:
Proceedings of the 1st IKDD Conference on Data Sciences
影响因子:
--
通讯作者:
Jayati Deshmukh
Jayati Deshmukh
中科院分区:
--
文献类型:
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作者:
S. Srinivasa;Sweety Agrawal;Chinmay Jog;Jayati Deshmukh

文献摘要

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最近在"开放数据"方面采取的主动行动已在网上产生了高质量、免费提供的表格数据集。然而,这些数据集是支离破碎的,结构任意,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缝合到语义上有意义的结构中。但这些努力遇到了独特的挑战。我们认为,在本文中,知识聚合可以有两种-我们还认为,功利主义的聚合是一个典型的不同的问题,从传统的努力,如Freebase或DBpedia,解决非线性聚合。此外,当涉及到实用性知识时,我们注意到,开放性不是一个二元条件,而是需要区分"开放式"知识和"开放式"知识。“我们根据知识元素的创建者对其消费者有多少知识或控制权来正式定义开放知识的概念。基于这些论点,我们提出了一个基本的知识表示框架编码开放的功利主义知识。
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.