Knowledge graphs: An information retrieval perspective
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 …
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.
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 …
knowledge-base construction (KBC) from hundreds of millions of web pages. DeepDive …
Querying knowledge graphs by example entity tuples
We witness an unprecedented proliferation of knowledge graphs that record millions of
entities and their relationships. While knowledge graphs are structure-flexible and content …
entities and their relationships. While knowledge graphs are structure-flexible and content …
Elementary: Large-scale knowledge-base construction via machine learning and statistical inference
Researchers have approached knowledge-base construction (KBC) with a wide range of
data resources and techniques. The authors present Elementary, a prototype KBC system …
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 …
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 …
power system operation data are growing explosively, and the optimization of power system …
[PDF][PDF] Learning to explain entity relationships in knowledge graphs
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 …
with human-readable descriptions. Our method extracts and enriches sentences that refer to …
A survey of typical attributed graph queries
Graphs are commonly used for representing complex structures such as social relationships,
biological interactions, and knowledge bases. In many scenarios, graphs not only represent …
biological interactions, and knowledge bases. In many scenarios, graphs not only represent …
Relsim: relation similarity search in schema-rich heterogeneous information networks
Recent studies have demonstrated the power of modeling real world data as heterogeneous
information networks (HINs) consisting of multiple types of entities and relations …
information networks (HINs) consisting of multiple types of entities and relations …
Storytelling in entity networks to support intelligence analysts
Intelligence analysts grapple with many challenges, chief among them is the need for
software support in storytelling, ie, automatically'connecting the dots' between disparate …
software support in storytelling, ie, automatically'connecting the dots' between disparate …