Define a Scheme /Data model to integrate multiple Data source for our Business case in Neo4Js












0














Dears



We have business use case where we are getting data from different data sources -Relation DB , NoSQL, File feed-(CSV ,JSON) and we need to aggregate all data and needs to present to a Graph Model and we need to apply some business rule to figure out the rating /Ranking for the entity.The data is related to Pharamcy . Can you please guide me how we can define a scheme in Neo4Js? Are we able to define a generic scheme so that it will take care of any new data set ?



Any help or direction would be highly appreciated .










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  • Traditionally, RDF graphs are considered more suitable than LPG graphs for heterogeneous data integration tasks...
    – Stanislav Kralin
    Nov 13 '18 at 7:43










  • Thanks Kralin. I did research based on your suggestion .I was trying to use AllegroGraph ,do you have any recommendation RDF Graph? I am completely new to RDF graphs .We need to rank pharmacy based on certain parameter as well
    – DILEEP DAS KIZHAKKEPALAKATH
    Nov 13 '18 at 20:12
















0














Dears



We have business use case where we are getting data from different data sources -Relation DB , NoSQL, File feed-(CSV ,JSON) and we need to aggregate all data and needs to present to a Graph Model and we need to apply some business rule to figure out the rating /Ranking for the entity.The data is related to Pharamcy . Can you please guide me how we can define a scheme in Neo4Js? Are we able to define a generic scheme so that it will take care of any new data set ?



Any help or direction would be highly appreciated .










share|improve this question
























  • Traditionally, RDF graphs are considered more suitable than LPG graphs for heterogeneous data integration tasks...
    – Stanislav Kralin
    Nov 13 '18 at 7:43










  • Thanks Kralin. I did research based on your suggestion .I was trying to use AllegroGraph ,do you have any recommendation RDF Graph? I am completely new to RDF graphs .We need to rank pharmacy based on certain parameter as well
    – DILEEP DAS KIZHAKKEPALAKATH
    Nov 13 '18 at 20:12














0












0








0







Dears



We have business use case where we are getting data from different data sources -Relation DB , NoSQL, File feed-(CSV ,JSON) and we need to aggregate all data and needs to present to a Graph Model and we need to apply some business rule to figure out the rating /Ranking for the entity.The data is related to Pharamcy . Can you please guide me how we can define a scheme in Neo4Js? Are we able to define a generic scheme so that it will take care of any new data set ?



Any help or direction would be highly appreciated .










share|improve this question















Dears



We have business use case where we are getting data from different data sources -Relation DB , NoSQL, File feed-(CSV ,JSON) and we need to aggregate all data and needs to present to a Graph Model and we need to apply some business rule to figure out the rating /Ranking for the entity.The data is related to Pharamcy . Can you please guide me how we can define a scheme in Neo4Js? Are we able to define a generic scheme so that it will take care of any new data set ?



Any help or direction would be highly appreciated .







neo4j nosql ontology






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edited Nov 12 '18 at 23:31









Alex Knauth

4,5771822




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asked Nov 12 '18 at 17:36









DILEEP DAS KIZHAKKEPALAKATHDILEEP DAS KIZHAKKEPALAKATH

1




1












  • Traditionally, RDF graphs are considered more suitable than LPG graphs for heterogeneous data integration tasks...
    – Stanislav Kralin
    Nov 13 '18 at 7:43










  • Thanks Kralin. I did research based on your suggestion .I was trying to use AllegroGraph ,do you have any recommendation RDF Graph? I am completely new to RDF graphs .We need to rank pharmacy based on certain parameter as well
    – DILEEP DAS KIZHAKKEPALAKATH
    Nov 13 '18 at 20:12


















  • Traditionally, RDF graphs are considered more suitable than LPG graphs for heterogeneous data integration tasks...
    – Stanislav Kralin
    Nov 13 '18 at 7:43










  • Thanks Kralin. I did research based on your suggestion .I was trying to use AllegroGraph ,do you have any recommendation RDF Graph? I am completely new to RDF graphs .We need to rank pharmacy based on certain parameter as well
    – DILEEP DAS KIZHAKKEPALAKATH
    Nov 13 '18 at 20:12
















Traditionally, RDF graphs are considered more suitable than LPG graphs for heterogeneous data integration tasks...
– Stanislav Kralin
Nov 13 '18 at 7:43




Traditionally, RDF graphs are considered more suitable than LPG graphs for heterogeneous data integration tasks...
– Stanislav Kralin
Nov 13 '18 at 7:43












Thanks Kralin. I did research based on your suggestion .I was trying to use AllegroGraph ,do you have any recommendation RDF Graph? I am completely new to RDF graphs .We need to rank pharmacy based on certain parameter as well
– DILEEP DAS KIZHAKKEPALAKATH
Nov 13 '18 at 20:12




Thanks Kralin. I did research based on your suggestion .I was trying to use AllegroGraph ,do you have any recommendation RDF Graph? I am completely new to RDF graphs .We need to rank pharmacy based on certain parameter as well
– DILEEP DAS KIZHAKKEPALAKATH
Nov 13 '18 at 20:12












1 Answer
1






active

oldest

votes


















0














Its all depends on the Use case .



If the data from different data sources are logically related then the better approach will be :




  • Use RDF Graph storage - Blazegraph / Neptune / StartDog

  • Generic Schema can be defined using RDFS

  • The different Data sources can be logically linked using Ontology Concepts (OWL)

  • In this case we can easily incorporate new data sets as it is related

  • Can use inferences for analytics use cases


if the data sets has no logical relation then :




  • Still RDF graphs will be better approach as it is flexible and will have wide options






share|improve this answer





















  • Thank you Don, can you give reference for ontology based data integration?
    – DILEEP DAS KIZHAKKEPALAKATH
    Nov 20 '18 at 1:45










  • Are you expecting some project reference or Ontology document reference
    – Don Mathew
    Nov 20 '18 at 2:08










  • Don, I was trying to see how we can do Ontology mapping against data sources and integrate to target graph (the process or steps involved) project reference would be great.
    – DILEEP DAS KIZHAKKEPALAKATH
    Nov 21 '18 at 3:11












  • Below are the two links will help you for the integration: linkeddatatools.com/introducing-rdfs-owl obitko.com/tutorials/ontologies-semantic-web/…
    – Don Mathew
    Nov 29 '18 at 12:22













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1 Answer
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active

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1 Answer
1






active

oldest

votes









active

oldest

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active

oldest

votes









0














Its all depends on the Use case .



If the data from different data sources are logically related then the better approach will be :




  • Use RDF Graph storage - Blazegraph / Neptune / StartDog

  • Generic Schema can be defined using RDFS

  • The different Data sources can be logically linked using Ontology Concepts (OWL)

  • In this case we can easily incorporate new data sets as it is related

  • Can use inferences for analytics use cases


if the data sets has no logical relation then :




  • Still RDF graphs will be better approach as it is flexible and will have wide options






share|improve this answer





















  • Thank you Don, can you give reference for ontology based data integration?
    – DILEEP DAS KIZHAKKEPALAKATH
    Nov 20 '18 at 1:45










  • Are you expecting some project reference or Ontology document reference
    – Don Mathew
    Nov 20 '18 at 2:08










  • Don, I was trying to see how we can do Ontology mapping against data sources and integrate to target graph (the process or steps involved) project reference would be great.
    – DILEEP DAS KIZHAKKEPALAKATH
    Nov 21 '18 at 3:11












  • Below are the two links will help you for the integration: linkeddatatools.com/introducing-rdfs-owl obitko.com/tutorials/ontologies-semantic-web/…
    – Don Mathew
    Nov 29 '18 at 12:22


















0














Its all depends on the Use case .



If the data from different data sources are logically related then the better approach will be :




  • Use RDF Graph storage - Blazegraph / Neptune / StartDog

  • Generic Schema can be defined using RDFS

  • The different Data sources can be logically linked using Ontology Concepts (OWL)

  • In this case we can easily incorporate new data sets as it is related

  • Can use inferences for analytics use cases


if the data sets has no logical relation then :




  • Still RDF graphs will be better approach as it is flexible and will have wide options






share|improve this answer





















  • Thank you Don, can you give reference for ontology based data integration?
    – DILEEP DAS KIZHAKKEPALAKATH
    Nov 20 '18 at 1:45










  • Are you expecting some project reference or Ontology document reference
    – Don Mathew
    Nov 20 '18 at 2:08










  • Don, I was trying to see how we can do Ontology mapping against data sources and integrate to target graph (the process or steps involved) project reference would be great.
    – DILEEP DAS KIZHAKKEPALAKATH
    Nov 21 '18 at 3:11












  • Below are the two links will help you for the integration: linkeddatatools.com/introducing-rdfs-owl obitko.com/tutorials/ontologies-semantic-web/…
    – Don Mathew
    Nov 29 '18 at 12:22
















0












0








0






Its all depends on the Use case .



If the data from different data sources are logically related then the better approach will be :




  • Use RDF Graph storage - Blazegraph / Neptune / StartDog

  • Generic Schema can be defined using RDFS

  • The different Data sources can be logically linked using Ontology Concepts (OWL)

  • In this case we can easily incorporate new data sets as it is related

  • Can use inferences for analytics use cases


if the data sets has no logical relation then :




  • Still RDF graphs will be better approach as it is flexible and will have wide options






share|improve this answer












Its all depends on the Use case .



If the data from different data sources are logically related then the better approach will be :




  • Use RDF Graph storage - Blazegraph / Neptune / StartDog

  • Generic Schema can be defined using RDFS

  • The different Data sources can be logically linked using Ontology Concepts (OWL)

  • In this case we can easily incorporate new data sets as it is related

  • Can use inferences for analytics use cases


if the data sets has no logical relation then :




  • Still RDF graphs will be better approach as it is flexible and will have wide options







share|improve this answer












share|improve this answer



share|improve this answer










answered Nov 16 '18 at 12:49









Don MathewDon Mathew

7637




7637












  • Thank you Don, can you give reference for ontology based data integration?
    – DILEEP DAS KIZHAKKEPALAKATH
    Nov 20 '18 at 1:45










  • Are you expecting some project reference or Ontology document reference
    – Don Mathew
    Nov 20 '18 at 2:08










  • Don, I was trying to see how we can do Ontology mapping against data sources and integrate to target graph (the process or steps involved) project reference would be great.
    – DILEEP DAS KIZHAKKEPALAKATH
    Nov 21 '18 at 3:11












  • Below are the two links will help you for the integration: linkeddatatools.com/introducing-rdfs-owl obitko.com/tutorials/ontologies-semantic-web/…
    – Don Mathew
    Nov 29 '18 at 12:22




















  • Thank you Don, can you give reference for ontology based data integration?
    – DILEEP DAS KIZHAKKEPALAKATH
    Nov 20 '18 at 1:45










  • Are you expecting some project reference or Ontology document reference
    – Don Mathew
    Nov 20 '18 at 2:08










  • Don, I was trying to see how we can do Ontology mapping against data sources and integrate to target graph (the process or steps involved) project reference would be great.
    – DILEEP DAS KIZHAKKEPALAKATH
    Nov 21 '18 at 3:11












  • Below are the two links will help you for the integration: linkeddatatools.com/introducing-rdfs-owl obitko.com/tutorials/ontologies-semantic-web/…
    – Don Mathew
    Nov 29 '18 at 12:22


















Thank you Don, can you give reference for ontology based data integration?
– DILEEP DAS KIZHAKKEPALAKATH
Nov 20 '18 at 1:45




Thank you Don, can you give reference for ontology based data integration?
– DILEEP DAS KIZHAKKEPALAKATH
Nov 20 '18 at 1:45












Are you expecting some project reference or Ontology document reference
– Don Mathew
Nov 20 '18 at 2:08




Are you expecting some project reference or Ontology document reference
– Don Mathew
Nov 20 '18 at 2:08












Don, I was trying to see how we can do Ontology mapping against data sources and integrate to target graph (the process or steps involved) project reference would be great.
– DILEEP DAS KIZHAKKEPALAKATH
Nov 21 '18 at 3:11






Don, I was trying to see how we can do Ontology mapping against data sources and integrate to target graph (the process or steps involved) project reference would be great.
– DILEEP DAS KIZHAKKEPALAKATH
Nov 21 '18 at 3:11














Below are the two links will help you for the integration: linkeddatatools.com/introducing-rdfs-owl obitko.com/tutorials/ontologies-semantic-web/…
– Don Mathew
Nov 29 '18 at 12:22






Below are the two links will help you for the integration: linkeddatatools.com/introducing-rdfs-owl obitko.com/tutorials/ontologies-semantic-web/…
– Don Mathew
Nov 29 '18 at 12:22




















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