Knowledge graphs: An information retrieval perspective

R Reinanda, E Meij, M de Rijke - Foundations and Trends® …, 2020 - nowpublishers.com
In this survey, we provide an overview of the literature on knowledge graphs (KGs) in the
context of information retrieval (IR). Modern IR systems can benefit from information …

[PDF][PDF] DeepDive: Web-scale Knowledge-base Construction using Statistical Learning and Inference.

F Niu, C Zhang, C Ré, JW Shavlik - VLDS, 2012 - www-cs.stanford.edu
We present an end-to-end (live) demonstration system called DeepDive that performs
knowledge-base construction (KBC) from hundreds of millions of web pages. DeepDive …

Querying knowledge graphs by example entity tuples

N Jayaram, A Khan, C Li, X Yan… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
We witness an unprecedented proliferation of knowledge graphs that record millions of
entities and their relationships. While knowledge graphs are structure-flexible and content …

Elementary: Large-scale knowledge-base construction via machine learning and statistical inference

F Niu, C Zhang, C Ré, J Shavlik - International Journal on Semantic …, 2012 - igi-global.com
Researchers have approached knowledge-base construction (KBC) with a wide range of
data resources and techniques. The authors present Elementary, a prototype KBC system …

Explaining and suggesting relatedness in knowledge graphs

G Pirrò - The Semantic Web-ISWC 2015: 14th International …, 2015 - Springer
Abstract Knowledge graphs (KGs) are a key ingredient for searching, browsing and
knowledge discovery activities. Motivated by the need to harness knowledge available in a …

Research review of the knowledge graph and its application in power system dispatching and operation

J Chen, G Lu, Z Pan, T Yu, M Ding… - Frontiers in Energy …, 2022 - frontiersin.org
With the construction of a new power system and the proposal of a double carbon goal,
power system operation data are growing explosively, and the optimization of power system …

[PDF][PDF] Learning to explain entity relationships in knowledge graphs

N Voskarides, E Meij, M Tsagkias… - Proceedings of the …, 2015 - aclanthology.org
We study the problem of explaining relationships between pairs of knowledge graph entities
with human-readable descriptions. Our method extracts and enriches sentences that refer to …

A survey of typical attributed graph queries

Y Wang, Y Li, J Fan, C Ye, M Chai - World Wide Web, 2021 - Springer
Graphs are commonly used for representing complex structures such as social relationships,
biological interactions, and knowledge bases. In many scenarios, graphs not only represent …

Relsim: relation similarity search in schema-rich heterogeneous information networks

C Wang, Y Sun, Y Song, J Han, Y Song, L Wang… - Proceedings of the 2016 …, 2016 - SIAM
Recent studies have demonstrated the power of modeling real world data as heterogeneous
information networks (HINs) consisting of multiple types of entities and relations …

Storytelling in entity networks to support intelligence analysts

MS Hossain, P Butler, AP Boedihardjo… - Proceedings of the 18th …, 2012 - dl.acm.org
Intelligence analysts grapple with many challenges, chief among them is the need for
software support in storytelling, ie, automatically'connecting the dots' between disparate …