Sya: Enabling Spatial Awareness inside Probabilistic Knowledge Base Construction
This paper presents Sya; the first spatial probabilistic knowledge base construction system,
based on Markov Logic Networks (MLN). Sya injects the awareness of spatial relationships …
based on Markov Logic Networks (MLN). Sya injects the awareness of spatial relationships …
A Demonstration of Sya: A Spatial Probabilistic Knowledge Base Construction System
This demo presents Sya; the first full-fledged spatial probabilistic knowledge base
construction system. Sya is a comprehensive extension to the DeepDive system that …
construction system. Sya is a comprehensive extension to the DeepDive system that …
Adopting markov logic networks for big spatial data and applications
I Sabek - 2020 - search.proquest.com
Abstract Markov Logic Networks (MLN) have become a de-facto statistical learning and
inference framework to perform efficient and user-friendly analysis on massive data, with …
inference framework to perform efficient and user-friendly analysis on massive data, with …
Effectively Representing Short Text via the Improved Semantic Feature Space Mapping
T Tuo, H Ma, H Liu, J Wei - … and Applications in Knowledge Discovery and …, 2019 - Springer
Short text representation (STR) has attracted increasing interests recently with the rapid
growth of Web and social media data existing in short text form. In this paper, we present a …
growth of Web and social media data existing in short text form. In this paper, we present a …
Learning and Query Processing over Knowledge Bases
X Zhou - 2018 - search.proquest.com
Abstract Knowledge bases (KBs) have been attracting more and more research efforts over
recent years. Numerous web-scale knowledge bases (eg, Freebase, YAGO, NELL) have …
recent years. Numerous web-scale knowledge bases (eg, Freebase, YAGO, NELL) have …