Managed Projects

Tabulas

  Analyzed about 11 hours ago

System to manage human-readable tables using files

4.57K lines of code

1 current contributors

about 1 month since last commit

1 users on Open Hub

Very Low Activity
0.0
 
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OntoComPlib

  Analyzed about 4 hours ago

OntoComPlib is a library for completing OWL ontologies. It is mainly developed for the ontology completion tool OntoComP, which is a plugin for the Protégé 4 ontology editor. OntoComPlib is an extension of the Formal Concept Analysis (FCA) library FCAlib. It implements the ontology completion ... [More] algorithm presented in [1]. It communicates with the reasoner over the OWL API. Javadoc for OntoComPlib can be accessed here [1] F. Baader, B. Ganter, U. Sattler, and B. Sertkaya. Completing Description Logic Knowledge Bases using Formal Concept Analysis. In Proceedings of the Twentieth International Joint Conference on Artificial Intelligence (IJCAI-07). AAAI Press, 2007. [Less]

1.01K lines of code

1 current contributors

3 months since last commit

0 users on Open Hub

Very Low Activity
0.0
 
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BORN

  Analyzed about 8 hours ago

Bayesian Ontology Reasoner

16.7K lines of code

1 current contributors

3 months since last commit

0 users on Open Hub

Low Activity
0.0
 
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jcel

  Analyzed 1 day ago

19.4K lines of code

1 current contributors

about 1 month since last commit

0 users on Open Hub

Low Activity
0.0
 
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Licenses: apache_2, lgpv3_or_...

UEL

  Analyzed about 9 hours ago

Unification solver for EL.

8.75K lines of code

1 current contributors

3 months since last commit

0 users on Open Hub

Very Low Activity
0.0
 
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CEL

  Analyzed 1 day ago

3.68K lines of code

1 current contributors

3 months since last commit

0 users on Open Hub

Very Low Activity
0.0
 
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Licenses: apache_2, lgpv3_or_...

fcaapi

  Analyzed about 21 hours ago

FCAAPI is an API for Formal Concept Analysis (FCA) tool developpers. It is an initiative to set standards for FCA tools for better interoperability. FCAAPI is implemented by the open-source library FCAlib. Javadoc for FCAAPI can be accessed here.

12.8K lines of code

0 current contributors

3 months since last commit

0 users on Open Hub

Very Low Activity
0.0
 
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jsexp

  Analyzed about 21 hours ago

Parser in Java for Lisp S-expressions.

1.13K lines of code

1 current contributors

3 months since last commit

0 users on Open Hub

Very Low Activity
0.0
 
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WikiHTML

  Analyzed about 9 hours ago

Application in Java that converts wikitext documents into HTML documents.

2.6K lines of code

1 current contributors

3 months since last commit

0 users on Open Hub

Very Low Activity
0.0
 
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fcalib

  Analyzed about 15 hours ago

FCAlib is an open-source, extensible library for Formal Concept Analysis (FCA) tool developers that implements the FCAAPI. It provides basic functionalities that are needed for building an FCA tool. It supports incomplete contexts and includes efficient implementations of basic FCA algorithms like ... [More] implicational closure, next-closed set, etc. It implements the attribute exploration algorithm in such a way that it can be used together with a custom implemented expert that supports FCAAPI. Javadoc for FCAlib can be found here. FCAlib is extended by OntoComPlib for using attribute exploration together with OWL ontologies. The following code segment shows how to create a formal context, add attributes to it, create an expert for this context, and start attribute exploration: // Create a formal context whose attributes are of type String, and whose objects have // identifiers of type String FormalContext context = new FormalContext(); // Create an expert for this context MyExpertClass expert = new MyExpertClass(context); // Add attributes to this context context.addAttribute("a"); context.addAttribute("b"); context.addAttribute("c"); // Set expert for this context context.setExpert(expert); // Context listens to the actions of the expert expert.addExpertActionListener(context); // Create an expert action for starting attribute exploration StartExplorationAction> action = new StartExplorationAction>(); action.setContext(context); // Fire the action, exploration starts... expert.fireExpertAction(action);The following code segment shows how to create a set of implications for the above context, add implications to it, and compute next-closure: // Create a set of implications for the above context. Attributes are of type String ImplicationSet = new ImplicationSet(context); // Create a new implication with empty premise and conclusion Implication imp = new Implication(); // Add attribute "a" to the premise imp.getPremise().add("a"); // Add attribute "b" to the conclusion imp.getConclusion().add("b"); // Add this implication to the implication set implications.add(imp); // Compute the next-closed set after mySet, and update mySet mySet = implications.nextClosure(mySet);For more examples please see the test package in the source. [Less]

24.8K lines of code

0 current contributors

3 months since last commit

0 users on Open Hub

Very Low Activity
0.0
 
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