Why Settle for Just One? Extending EL++ Ontology Embeddings with Many-to-Many Relationships

10/20/2021
by   Biswesh Mohapatra, et al.
0

Knowledge Graph (KG) embeddings provide a low-dimensional representation of entities and relations of a Knowledge Graph and are used successfully for various applications such as question answering and search, reasoning, inference, and missing link prediction. However, most of the existing KG embeddings only consider the network structure of the graph and ignore the semantics and the characteristics of the underlying ontology that provides crucial information about relationships between entities in the KG. Recent efforts in this direction involve learning embeddings for a Description Logic (logical underpinning for ontologies) named EL++. However, such methods consider all the relations defined in the ontology to be one-to-one which severely limits their performance and applications. We provide a simple and effective solution to overcome this shortcoming that allows such methods to consider many-to-many relationships while learning embedding representations. Experiments conducted using three different EL++ ontologies show substantial performance improvement over five baselines. Our proposed solution also paves the way for learning embedding representations for even more expressive description logics such as SROIQ.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
03/29/2023

From axioms over graphs to vectors, and back again: evaluating the properties of graph-based ontology embeddings

Several approaches have been developed that generate embeddings for Desc...
research
05/11/2021

Predicting Gene-Disease Associations with Knowledge Graph Embeddings over Multiple Ontologies

Ontology-based approaches for predicting gene-disease associations inclu...
research
05/17/2021

OntoEA: Ontology-guided Entity Alignment via Joint Knowledge Graph Embedding

Semantic embedding has been widely investigated for aligning knowledge g...
research
10/06/2020

Joint Semantics and Data-Driven Path Representation for Knowledge Graph Inference

Inference on a large-scale knowledge graph (KG) is of great importance f...
research
02/27/2019

EL Embeddings: Geometric construction of models for the Description Logic EL ++

An embedding is a function that maps entities from one algebraic structu...
research
09/16/2020

Semantic Property Graph for Scalable Knowledge Graph Analytics

Graphs are a natural and fundamental representation of describing the ac...
research
04/04/2023

An Embedding-based Approach to Inconsistency-tolerant Reasoning with Inconsistent Ontologies

Inconsistency handling is an important issue in knowledge management. Es...

Please sign up or login with your details

Forgot password? Click here to reset