Constructing Information-Lossless Biological Knowledge Graphs from Conditional Statements

06/26/2019
by   Tianwen Jiang, et al.
0

Conditions are essential in the statements of biological literature. Without the conditions (e.g., environment, equipment) that were precisely specified, the facts (e.g., observations) in the statements may no longer be valid. One biological statement has one or multiple fact(s) and/or condition(s). Their subject and object can be either a concept or a concept's attribute. Existing information extraction methods do not consider the role of condition in the biological statement nor the role of attribute in the subject/object. In this work, we design a new tag schema and propose a deep sequence tagging framework to structure conditional statement into fact and condition tuples from biological text. Experiments demonstrate that our method yields a information-lossless structure of the literature.

READ FULL TEXT
research
07/30/2022

On translating conditional statements into mathematical logic

In this paper, we highlight a profound difference between conditional st...
research
07/21/2023

Benchmark datasets for biomedical knowledge graphs with negative statements

Knowledge graphs represent facts about real-world entities. Most of thes...
research
08/24/2017

Finding Streams in Knowledge Graphs to Support Fact Checking

The volume and velocity of information that gets generated online limits...
research
11/29/2022

Easy and complex: new perspectives for metadata modeling using RDF-star and Named Graphs

The Resource Description Framework is well-established as a lingua franc...
research
12/09/2019

Conditional Kernel Density Estimation Considering Autocorrelation for Renewable Energy Probabilistic Modeling

Renewable energy is essential for energy security and global warming mit...
research
07/13/2023

Towards a Rosetta Stone for (meta)data: Learning from natural language to improve semantic and cognitive interoperability

In order to effectively manage the overwhelming influx of data, it is cr...
research
04/25/2014

Une approche CSP pour l'aide à la localisation d'erreurs

We introduce in this paper a new CP-based approach to support errors loc...

Please sign up or login with your details

Forgot password? Click here to reset