Hi,
I am using Pellet for inferring new triples in my program, when I was running it locally works properly, but when I tried to execute this in google colab, I get the next failure:
* Owlready2 * Running Pellet...
java -Xmx2000M -cp ....
CalledProcessError Traceback (most recent call last)
/usr/local/lib/python3.6/dist-packages/owlready2/reasoning.py in sync_reasoner_pellet(x, infer_property_values, infer_data_property_values, debug, keep_tmp_file)
241 try:
--> 242 output = subprocess.run(command, stdout = subprocess.PIPE, stderr = subprocess.PIPE, check = True).stdout
243 except subprocess.CalledProcessError as e:
4 frames
CalledProcessError: Command '['java', '-Xmx2000M', '-cp', '/usr/local/...
During handling of the above exception, another exception occurred:
OwlReadyJavaError Traceback (most recent call last)
/usr/local/lib/python3.6/dist-packages/owlready2/reasoning.py in sync_reasoner_pellet(x, infer_property_values, infer_data_property_values, debug, keep_tmp_file)
245 raise OwlReadyInconsistentOntologyError()
246 else:
--> 247 raise OwlReadyJavaError("Java error message is:\n%s" % (e.stderr or e.output or b"").decode("utf8"))
248
249 try:
OwlReadyJavaError: Java error message is:
log4j:WARN No appenders could be found for logger (com.hp.hpl.jena.sparql.mgt.ARQMgt).
log4j:WARN Please initialize the log4j system properly.
log4j:WARN See
http://logging.apache.org/log4j/1.2/faq.html#noconfig for more info.
[line: 822, col: 99] Triple not terminated by DOT: [IRI:
http://www.w3.org/2002/07/owl#Ontology]
I do not understand why i cannot use Pellet in google colab. Moreover, When I try to execute Hermit, this works. So, it is a problem just with pellen in google colab. Moreover, the file with all the triples does not have anything wrongs, since it is the same that i use locally and Pellet work well here.
SOLVED:
I do not have done anything, it is porblem of google colab that some times the machines have some wrong things, what you have to do is wait until google colab give you another machine.
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