A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
A Distributional Semantics Approach for Selective Reasoning on Commonsense Graph Knowledge Bases
[chapter]
2014
Lecture Notes in Computer Science
Tasks such as question answering and semantic search are dependent on the ability of querying & reasoning over large-scale commonsense knowledge bases (KBs). However, dealing with commonsense data demands coping with problems such as the increase in schema complexity, semantic inconsistency, incompleteness and scalability. This paper proposes a selective graph navigation mechanism based on a distributional relational semantic model which can be applied to querying & reasoning over heterogeneous
doi:10.1007/978-3-319-07983-7_3
fatcat:e4ebguwn5re7rijefhkza6pwqm