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PSL specifications


Unique identifier OMICS_12422
Name PSL
Alternative name Probabilistic soft logic
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages Java
Computer skills Advanced
Version 2.0
Stability Stable
Source code URL
Maintained Yes


No version available


  • person_outline Dhanya Sridhar

Publication for Probabilistic soft logic

PSL citations


Predicting potential drug drug interactions on topological and semantic similarity features using statistical learning

PLoS One
PMCID: 5940181
PMID: 29738537
DOI: 10.1371/journal.pone.0196865

[…] developed an integrative label propagation framework to model DDIs by integration of ADRs and chemical structures. Sridhar et al. [] developed a probabilistic approach for predicting DDIs. They used probabilistic soft logic framework which is highly scalable. The evaluation demonstrated of more than 50% improvement over baselines. Ferdousi et al. [] reported on a methodology for DDIs modeling bas […]


Refining Automatically Extracted Knowledge Bases Using Crowdsourcing

Comput Intell Neurosci
PMCID: 5446892
PMID: 28588611
DOI: 10.1155/2017/4092135

[…] cal constraints, and candidate and promoted facts trough logical rules. The MLN method reports an output with a 0.5 marginal probability cutoff, which maximizes the F1 score. PSL []. This method uses probabilistic soft logic (PSL) to jointly reason candidate facts and identify coreferent entities, which can perform inference more efficiently. The PSL method reports results using a soft-truth thres […]


Patterns of contribution to citizen science biodiversity projects increase understanding of volunteers’ recording behaviour

Sci Rep
PMCID: 5020317
PMID: 27619155
DOI: 10.1038/srep33051

[…] m public-facing, high profile mobile apps, e.g. the Ladybird App, to tailored input systems suited to expert naturalists wanting to record across taxon groups (e.g. Pan-species Listing ( study demonstrates that the use of exploratory clustering techniques, as described by Ponciano and Brasileiro, were applicable to other citizen science projects in an effort to explain volun […]


Motivation Classification and Grade Prediction for MOOCs Learners

Comput Intell Neurosci
PMCID: 4738730
PMID: 26884747
DOI: 10.1155/2016/2174613

[…] will quit the course. Yang et al. [] developed a survival model that allows us to measure the influence of factors extracted from learning behavior data on student dropout rate. Ramesh et al. [] used probabilistic soft logic (PSL) to model student engagement by capturing domain knowledge about student interactions and performance. Balakrishnan [] used a combination of students' Week 1 assignment p […]


Severe Fever with Thrombocytopenia Syndrome Virus among Domesticated Animals, China

PMCID: 3647489
PMID: 23648209
DOI: 10.3201/eid1905.120245

[…] detected in August and September, and serum virus RNA quantities ranged from 104 copies/mL to 1.7 × 105 copies/mL (Sheep PKG-13). In 5 sheep, viral RNA appeared before seoconversion; but in 2 sheep (PSL-15, LHJ-19), viral RNA and SFTSV antibodies were detected on the same sampling day. In 10 of 17 sheep, viral RNA was detected once or twice after seroconversion ().Neutralizing antibody levels wer […]


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PSL institution(s)
Computer Science Department, University of California Santa Cruz, Santa Cruz, CA, USA; Computer Science Department, University of Maryland, College Park, MD, USA
PSL funding source(s)
This work was supported by the National Science Foundation [IIS1218488].

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