Structuring Linked Data Search Results Using Probabilistic Soft Logic
Structuring Linked Data Search Results Using Probabilistic Soft Logic
复制标题
使用概率软逻辑构建链接数据搜索结果
DOI：
10.1007/978-3-319-46523-4_1
复制
发表时间：
2016
影响因子：
10.9
通讯作者：
N. Paton
中科院分区：
文献类型：
--
作者：
Duhai Alshukaili;A. Fernandes;N. Paton
动态生成关联数据(LD)搜索结果的集成表示是具有挑战性的，因为它需要成功地自动化一些复杂的子任务，例如结构推理以及实例和概念的匹配，每一项都会产生不确定的结果。考虑到Web资源(包括LD资源)的语义异构性，这种不确定性是不可避免的。本文探讨了构建基于证据的LD搜索结果的问题。特别是，本文展示了如何利用一种形式主义(即概率软逻辑)来原则性地吸收不同的证据来源，并为用户带来有益的效果。本文考虑了来自匹配算法的句法证据、来自LD词汇的语义证据以及反馈形式的用户证据。主要贡献是：对各种证据的统一同化进行建模的PSL规则集，对所产生的PSL程序如何根据其推断结构以整合LD搜索结果的能力执行的经验评估，以及最后，除了能够收集其同化进一步改善搜索结果呈现的反馈之外，还提供了一个具体的例子，说明填充这种推断的结构以呈现给终端用户是如何有益的。
On-the-fly generation of integrated representations of Linked Data (LD) search results is challenging because it requires successfully automating a number of complex subtasks, such as structure inference and matching of both instances and concepts, each of which gives rise to uncertain outcomes. Such uncertainty is unavoidable given the semantically heterogeneous nature of web sources, including LD ones. This paper approaches the problem of structuring LD search results as an evidence-based one. In particular, the paper shows how one formalism (viz., probabilistic soft logic (PSL)) can be exploited to assimilate different sources of evidence in a principled way and to beneficial effect for users. The paper considers syntactic evidence derived from matching algorithms, semantic evidence derived from LD vocabularies, and user evidence, in the form of feedback. The main contributions are: sets of PSL rules that model the uniform assimilation of diverse kinds of evidence, an empirical evaluation of how the resulting PSL programs perform in terms of their ability to infer structure for integrating LD search results, and, finally, a concrete example of how populating such inferred structures for presentation to the end user is beneficial, besides enabling the collection of feedback whose assimilation further improves search result presentation.
作为信息集成系统中的一等公民的用户反馈
DOI：
--
发表时间：
2010
期刊：
--
影响因子：
--
作者：
Alvaro Fernandes
通讯作者：
Alvaro Fernandes