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Table 1 Comparative table of registries of web resources in Life Sciences

From: BioUSeR: a semantic-based tool for retrieving Life Science web resources driven by text-rich user requirements

Registry

User

Discovery

Semantics

Composition

 

requirements

   

Feta [3]

Keywords

Input, output,

Manually

N/A

 

from ontology

operation type,

  
  

task

  

BioMoby [4]

Keywords

Resource type, I/O

Resource type,

N/A

   

object type

 

EMBRACE [5]

Keywords

String matching

Syntactically annotated

N/A

   

with BioXSD

 

BioCatalogue [6]

Keywords

String matching,

Categories, some tags

N/A

  

categories, filters

  

SSWAP [7]

Keywords,

RDF

Third-party ontologies,

N/A

 

Resource

 

reasoning

 
 

Query Graph

   

Magallanes [8]

Keywords

String matching in

N/A

Yes

  

data type,

  
  

resource type

  

myExperiment

Keywords

String matching,

Tags

N/A

[9]

 

filters

  

Taverna [10]

Keywords

String matching,

BioMoby metadata

Workflow

  

ontology concepts

 

composition

SADI [11]

SPARQL

RDF

Third-party ontologies

Yes

  1. This comparative table presents the main characteristics of the most popular registries in Life Sciences.