RDF, RDFS代写、代写CS/python语言、代做dbpedia、代写C/C++设计代写R语言编程|代做R语言编程

Project: From knowledge extraction to knowledgerepresentationThere are different tools and techniques that allow to:Represent knowledge using RDF, RDFS and OWLExtract knowledge from text using Native Bayes and SVMIn this project, the objective is to build a simple end to end pipeline in order to extractknowledge from a set of documents, represent this knowledge using rdf, query the created rdfgraph and eventually use reasoning to enrich the extracted knowledge.Before starting the implementation of your pipeline. You should collect 30 news articlesabout different topics.In order to build the whole pipeline, you will need four subparts in your project :1. A program that takes as input a document and output the document class2. A program that taRDF, RDFS作业代写、代写CS/python语言作业、代做dbpedia留学生作业、代写C/C++课程设计作业 代kes as input the document, the document ID and the label predictedby the learned model. This program should output a rdf file.a. Optional : You can do some topic modelling to extract more knowledge aboutthe documentsb. Optional : You can also perform Named Entity Recognition usingsome pretrained models in NLTK or Spacy3. A program that contains some generic sparql queries that will be executed on the rdf file.4. A program that will takes an ontology modeling some class hierarchies about thelabels you have, the rdf file and will perform reasoning in order to enrich the extractedknowledge5. Optional : You can run some queries over the dbpedia (or any other Linked OpenDataset) to get more knowledge about the topics you extract from document.转自：http://ass.3daixie.com/2018112882668480.html