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Open Source Tools for Creating Mashups with
           Government Datasets

        Mohammed Firdaus, Muhd Sharuzzamal Bak...
Introduction   About the Speakers

About the Speakers




     Mohammed Firdaus bin Mohammed Ab Halim
     (@firdaus halim)...
Introduction   What are Mashups?

Mashups



     A mashup is a web page or application that uses and
     combines data, ...
Challenges   Data Sets are Not Available in Machine Readable Form

Data Sets are Not Available in Machine Readable Form


...
Challenges   No Data Dictionaries

No Data Dictionaries



      Since the data sets that are available were meant for hum...
Challenges   New Data Sets Constantly Become Available

New Data Sets Constantly Become Available




     This is a not a...
Challenges   Lack of Standards Across Agencies

Lack of Standards Across Agencies




     Different identifiers for referri...
Challenges   Summary

In Summary




     Because of these challenges, we need an agile method for
     modeling, storing ...
Graphs   Introduction to Graphs

What is a Graph?




     A data structure that consists of a collection of vertices and
...
Graphs   Types of Graphs

Types of Graphs


     A directed graph (or digraph) is one where the edges have a
     directio...
Graphs   Types of Graphs

Types of Graphs - Simple/Undirected Graphs




     Mohammed Firdaus, Muhd Sharuzzamal Bakri    ...
Graphs   Types of Graphs

Types of Graphs - Directed Graph




     Mohammed Firdaus, Muhd Sharuzzamal Bakri     Open Sour...
Graphs   Types of Graphs

Types of Graphs - Edge and Node Labeled Graph




     Mohammed Firdaus, Muhd Sharuzzamal Bakri ...
Graphs   Types of Graphs

Types of Graphs - Multigraph




     Mohammed Firdaus, Muhd Sharuzzamal Bakri     Open Source T...
Graphs   Types of Graphs

Types of Graphs - Attributed Multigraph




     Mohammed Firdaus, Muhd Sharuzzamal Bakri     Op...
Graphs   Types of Graphs

Examples - Social Graphs




                     Source: http://www.flickr.com/photos/greenem/11...
Graphs    Types of Graphs

Examples - Web Graph




                 http://en.wikipedia.org/wiki/File:WorldWideWebAroundW...
Graphs   Property Graphs

Property Graphs



     ’Property graph’ is another term for attributed labeled
     multi-digra...
Graphs   Property Graphs

Property Graphs




         Source: http://wiki.github.com/tinkerpop/gremlin/defining-a-propert...
Data Sets   Treasury Procurement Data

Treasury - Tenders Awarded




       Source: http://myprocurement.treasury.gov.my/...
Data Sets   Treasury Procurement Data

Fields


         Tajuk Tender (Title of Tender)
         Nombor Tender (Tendor Num...
Data Sets   Treasury Procurement Data

Code and Data in Machine Readable Form




     For this presentation we are using ...
Data Sets   Treasury Procurement Data

The Dump




    Mohammed Firdaus, Muhd Sharuzzamal Bakri     Open Source Tools for...
Data Sets   Issues with this Data Sets

Missing Fields




  Out of the 2615 records in the dump
      510 records were mi...
Data Sets   Issues with this Data Sets

Tender Numbers are Not Unique


     32 records have the same tender number and ti...
Data Sets   Issues with this Data Sets

Format of Tender Numbers



  Examples of tender numbers:
      8/2009
      PL.(T...
Data Sets   Issues with this Data Sets

Format of the ”Petender Berjaya” Field


      SYARIKAT PROSPECTRUM SDN BHD
      ...
Data Sets   Modeling

Modeling this Data Set as a Property Graph

  One way to model this data as a graph is to:
      Ver...
Data Sets   Modeling

Example




     Mohammed Firdaus, Muhd Sharuzzamal Bakri     Open Source Tools for Creating Mashups...
Graph Databases and Neo4j   Neo4j - Introduction

Neo4j


        Neo4j is a graph database. Persists data in graph form.
...
Graph Databases and Neo4j   Neo4j - Introduction

Neo4j



        Written in Java.
        Bindings available for Python,...
Graph Databases and Neo4j   Inserting into Neo4j

Initializing the Database




  import neo4j

  db = neo4j.GraphDatabase...
Graph Databases and Neo4j   Inserting into Neo4j

Creating the Nodes




  ministry node = db.node(name=ministry, type="mi...
Graph Databases and Neo4j   Inserting into Neo4j

Creating the Relationships




  tender node.awarded by(ministry node)
 ...
Graph Databases and Neo4j   Inserting into Neo4j

Indexing Nodes


  ministries = db.index("ministries", create=True)
  bu...
Graph Databases and Neo4j   Inserting into Neo4j

The Result




     Mohammed Firdaus, Muhd Sharuzzamal Bakri     Open So...
Graph Traversals

Traversing the Graph




       Traversing is the process of walking around the graph.




     Mohammed...
Graph Traversals

Graph Traversal Options




     Graph Traversal Framework
     Gremlin
     SPARQL
     Manual traversa...
Graph Traversals

Problem




  Lets use graph traversal to find all the companies who have been
  awarded contracts by Kem...
Graph Traversals

Graph Around Kementerian Kesihatan




     Mohammed Firdaus, Muhd Sharuzzamal Bakri     Open Source Too...
Graph Traversals   Traversal Framework

Defining the Traversal

  # Companies who have gotten contracts from a particular m...
Graph Traversals   Traversal Framework

Using the Traversal




  with db.transaction:
     moh = ministries["KEMENTERIAN ...
Graph Traversals   Traversal Framework

Output



  RAF SYNERGY SDN BHD
  PRIMABUMI SDN BHD
  AVERROES PHARMACEUTICALS SDN...
Graph Traversals   Traversing Graphs with Gremlin

Gremlin




     Gremlin is a graph based programming language.
     Ca...
Graph Traversals   Traversing Graphs with Gremlin

Traversing the Graph with Gremlin
  $ ./gremlin.sh
         ,,,/
      ...
Graph Traversals   Traversing Graphs with Gremlin

Explanation




  ./inE[@label=”awarded by”]/outV/outE[@label=”awarded ...
Graph Traversals   Traversing Graphs with Gremlin

Explanation


  ./inE[@label=”awarded by”]/outV/outE[@label=”awarded to...
Graph Traversals   Traversing Graphs with Gremlin

Explanation

  ./inE[@label=”awarded by”]/outV/outE[@label=”awarded to”...
Graph Visualizations   Gephi

Gephi




        Photoshop for graphs.
        Supports for various graph layout algorithms...
Graph Visualizations   Gephi




Mohammed Firdaus, Muhd Sharuzzamal Bakri       Open Source Tools for Creating Mashups wit...
Graph Visualizations   Gephi




Mohammed Firdaus, Muhd Sharuzzamal Bakri       Open Source Tools for Creating Mashups wit...
Mashing Up   Adding External Data Sources

Mashing Up




  Lets add shareholding data from Suruhanjaya Syarikat Malaysia
...
Mashing Up   Adding External Data Sources

Connecting Telekom Malaysia Berhad and Telekom Smart
School Sdn Bhd

  telekom ...
Mashing Up   Adding External Data Sources

Graph Centered at Telekom Malaysia Berhad




     Mohammed Firdaus, Muhd Sharu...
Mashing Up   Adding External Data Sources

Graph Centered at Telekom Smart School Sdn Bhd




     Mohammed Firdaus, Muhd ...
Mashing Up   Traversing to Find Direct/Indirect Awards

The Traverser


  class AllTendersDirectIndirect(neo4j.Traversal):...
Mashing Up   Traversing to Find Direct/Indirect Awards

Executing the Traverser and the Output

  Executing the Traversal ...
Wrapup   Making this Easier




Mohammed Firdaus, Muhd Sharuzzamal Bakri    Open Source Tools for Creating Mashups with Go...
Wrapup   Making this Easier




Mohammed Firdaus, Muhd Sharuzzamal Bakri    Open Source Tools for Creating Mashups with Go...
Wrapup   Making this Easier




Mohammed Firdaus, Muhd Sharuzzamal Bakri    Open Source Tools for Creating Mashups with Go...
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Open Source Tools for Creating Mashups with Government Datasets MOSC2010

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Open Source Tools for Creating Mashups with Government Datasets MOSC2010

Mohammed Firdaus, Muhd Sharuzzamal Bakri

Malaysia Open Source Conference 2010

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Transcript of "Open Source Tools for Creating Mashups with Government Datasets MOSC2010"

  1. 1. Open Source Tools for Creating Mashups with Government Datasets Mohammed Firdaus, Muhd Sharuzzamal Bakri June 29, 2010 Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  2. 2. Introduction About the Speakers About the Speakers Mohammed Firdaus bin Mohammed Ab Halim (@firdaus halim) and Muhd Sharuzzamal Bakri (@amai) Founders of Persada Terbilang Sdn Bhd - We have no relationship whatsoever to any fertilizer supplier Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  3. 3. Introduction What are Mashups? Mashups A mashup is a web page or application that uses and combines data, presentation or functionality from two or more sources to create new services. (Source: Wikipedia) Data mashups combine similar types of media and information from multiple sources into a single representation. (Source: Wikipedia) Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  4. 4. Challenges Data Sets are Not Available in Machine Readable Form Data Sets are Not Available in Machine Readable Form Nothing useful here: filetype:csv site:.gov.my filetype:xml site:.gov.my filetype:rdf site:.gov.my We have to resort to web scraping. Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  5. 5. Challenges No Data Dictionaries No Data Dictionaries Since the data sets that are available were meant for humans to consume rather machines they are usually published without any type of data dictionary. This means that an application developer will have to make assumptions about the structure of each field e.g. whether it’s unique, whether it’s a multi-value field, which fields are mandatory/option. These assumptions may or may not turn out be correct as you see more and more data in the data set. Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  6. 6. Challenges New Data Sets Constantly Become Available New Data Sets Constantly Become Available This is a not a bad thing. However, our code, database and schema must be flexible enough to deal with future data sets that we might want to use in our applications. Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  7. 7. Challenges Lack of Standards Across Agencies Lack of Standards Across Agencies Different identifiers for referring to the same entity. The lack of common identifiers makes it tedious to combine data sets together which maybe describing the same entity. MyCoID and MyID are steps in the right direction. Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  8. 8. Challenges Summary In Summary Because of these challenges, we need an agile method for modeling, storing and processing these government datasets in our application. The purpose of this presentation is to show how representing your data as a graph both help you deal with these challenges and at the same time help make compelling data mashups. Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  9. 9. Graphs Introduction to Graphs What is a Graph? A data structure that consists of a collection of vertices and the connections between those vertices, called edges. Vertices are sometimes called nodes or dots. Edges are sometimes called relationships or edges. The terminology differs between software packages. Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  10. 10. Graphs Types of Graphs Types of Graphs A directed graph (or digraph) is one where the edges have a direction (i.e. there’s an outgoing and incoming vertex). A multigraph is one where multiple edges can exist between two vertices. An edge-labeled graph is a graph where edges have labels. Similarly, a vertex-labeled graph is one in which the vertices have labels. An attributed graph is one in which the vertices and edges can have attributes (key-value pairs). A graph can have more than one of these properties e.g. a multi digraph is one which multiple directed edges can exist between two vertices. Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  11. 11. Graphs Types of Graphs Types of Graphs - Simple/Undirected Graphs Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  12. 12. Graphs Types of Graphs Types of Graphs - Directed Graph Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  13. 13. Graphs Types of Graphs Types of Graphs - Edge and Node Labeled Graph Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  14. 14. Graphs Types of Graphs Types of Graphs - Multigraph Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  15. 15. Graphs Types of Graphs Types of Graphs - Attributed Multigraph Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  16. 16. Graphs Types of Graphs Examples - Social Graphs Source: http://www.flickr.com/photos/greenem/11696663/ Undirected Graph - Vertices represent people and edges represents friendship. Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  17. 17. Graphs Types of Graphs Examples - Web Graph http://en.wikipedia.org/wiki/File:WorldWideWebAroundWikipedia.png Multi-digraph - Vertices represent web pages and directed edges represent links between pages. Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  18. 18. Graphs Property Graphs Property Graphs ’Property graph’ is another term for attributed labeled multi-digraph. Property graphs are flexible enough to support most types of graph data. Other types of graphs (with the exception of hypergraphs) can be built on top of property graphs by removing features or using features of the property graph in certain ways. The tools that we are covering in this presentation deal primarily with property graphs. Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  19. 19. Graphs Property Graphs Property Graphs Source: http://wiki.github.com/tinkerpop/gremlin/defining-a-property-graph Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  20. 20. Data Sets Treasury Procurement Data Treasury - Tenders Awarded Source: http://myprocurement.treasury.gov.my/index.php/en/list-keputusan-tender Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  21. 21. Data Sets Treasury Procurement Data Fields Tajuk Tender (Title of Tender) Nombor Tender (Tendor Number) Kategori Perolehan (Procurement Category) Kementerian (Ministry) Petender Berjaya (Winner of Tender) No Pendaftaran Dengan ROB/ROS/ROC (Registration Number with ROB/ROS/ROC) No Pendaftaran Dengan MOF/PKK (Registration Number with MOF/PKK) Harga Setuju Terima (Agreed Upon Value) Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  22. 22. Data Sets Treasury Procurement Data Code and Data in Machine Readable Form For this presentation we are using data that we scraped form this site on 2010-04-26 The source code for our scraper and the CSV dump from 2010-04-26 is available at http://mfirdaus.com/mosc-paper/ The dump contains 2615 records. Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  23. 23. Data Sets Treasury Procurement Data The Dump Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  24. 24. Data Sets Issues with this Data Sets Missing Fields Out of the 2615 records in the dump 510 records were missing a tender number 472 records were missing a category 1836 records were missing a ROB/ROS/ROC number 510 records were missing a MOF no Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  25. 25. Data Sets Issues with this Data Sets Tender Numbers are Not Unique 32 records have the same tender number and title as another record 23 records have the same tender number as another record In some cases these appear to be duplicate records since the fields all match up. In other cases, one or two fields are slightly different indicating that there was a probably a typo (erroneous record was not deleted). In some cases, the other fields are completely different which leads us to think that it’s possible for there to be multiple winners of a tender (need some government officials to verify this for us). Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  26. 26. Data Sets Issues with this Data Sets Format of Tender Numbers Examples of tender numbers: 8/2009 PL.(T).08.2009(JKP) X0141110101090021 128/2009 KBS.S.4-14/69 (T.26/2009) Probably not a good idea to write code that attempts to parse the tender number. Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  27. 27. Data Sets Issues with this Data Sets Format of the ”Petender Berjaya” Field SYARIKAT PROSPECTRUM SDN BHD TELEKOM SMART SCHOOL SDN BHD NO.45-8, LEVEL 3, BLOCK C, PLAZA DAMANSARA, JALAN MEDAN SETIA 1, BUKIT DAMANSARA 50490 KUALA LUMPUR 1. GLOBAL AEROSPACE SDN BHD (A002) 2. SYSTEM ALLIANCE TECHNOLOGY SDN. BHD.(A003) 3. KARISMA WIRA SDN. BHD. (A004) 4. KESUMA TECHNOLOGY SDN. BHD (A005) A QUALITY REPUTATION SDN BHD B PRIMABUMI SDN BHD Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  28. 28. Data Sets Modeling Modeling this Data Set as a Property Graph One way to model this data as a graph is to: Vertices to represent tenders, ministries and companies/businesses. An ”awarded by” labeled edge to associate a tender with a ministry. An ”awarded to” labeled edge to associate a tender with the winner of the tender (the company/business). Attributes on tender vertices for the tender title, number, value, category Attributes on company/business vertices for the company/business name, ROB/ROC/ROS registration number and MOF registration number. Attributes on ministry vertices from the name of the ministry. Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  29. 29. Data Sets Modeling Example Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  30. 30. Graph Databases and Neo4j Neo4j - Introduction Neo4j Neo4j is a graph database. Persists data in graph form. Property graph data model with the exception of vertex labels. In Neo4j terms, vertices are nodes, edges are relationships and attributes are properties. Property values can be a String or any Java primitive (arrays of these types are supported as well). Licensed under the AGPLv3. Which basically means that you don’t need a license if your application is released under a compatible free software license. For other uses, you need a commercial license from them. Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  31. 31. Graph Databases and Neo4j Neo4j - Introduction Neo4j Written in Java. Bindings available for Python, Ruby, Clojure, Erlang, Groovy, Scalan and PHP. We will be using the Python bindings in this talk. An embedded database, meaning that it runs in the same process space as the application. There’s a standalone REST server for those who prefer it. Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  32. 32. Graph Databases and Neo4j Inserting into Neo4j Initializing the Database import neo4j db = neo4j.GraphDatabase("db") Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  33. 33. Graph Databases and Neo4j Inserting into Neo4j Creating the Nodes ministry node = db.node(name=ministry, type="ministry") entity node = db.node(name=entity name, no=entity no, mof no=entity mof no, type="business entity") tender node = db.node(no=tender no, title=tender title, category=tender category, value=tender value, type="tender") Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  34. 34. Graph Databases and Neo4j Inserting into Neo4j Creating the Relationships tender node.awarded by(ministry node) tender node.awarded to(entity node) Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  35. 35. Graph Databases and Neo4j Inserting into Neo4j Indexing Nodes ministries = db.index("ministries", create=True) business entities = db.index("business entities", create=True) tenders by no = db.index("tenders by no", create=True) tenders by title = db.index("tenders by title", create=True) tenders by no[tender no] = tender node tenders by title[tender title] = tender node Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  36. 36. Graph Databases and Neo4j Inserting into Neo4j The Result Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  37. 37. Graph Traversals Traversing the Graph Traversing is the process of walking around the graph. Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  38. 38. Graph Traversals Graph Traversal Options Graph Traversal Framework Gremlin SPARQL Manual traversal Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  39. 39. Graph Traversals Problem Lets use graph traversal to find all the companies who have been awarded contracts by Kementerian Kesihatan. Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  40. 40. Graph Traversals Graph Around Kementerian Kesihatan Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  41. 41. Graph Traversals Traversal Framework Defining the Traversal # Companies who have gotten contracts from a particular ministry # The start node is a ministry class Contractors(neo4j.Traversal): types = [neo4j.Incoming.awarded by, neo4j.Outgoing.awarded to] order = neo4j.DEPTH FIRST stop = neo4j.STOP AT END OF GRAPH def isReturnable(self, position): if position["type"] == "business entity": return True else: return False Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  42. 42. Graph Traversals Traversal Framework Using the Traversal with db.transaction: moh = ministries["KEMENTERIAN KESIHATAN"] contractors = Contractors(moh) for c in contractors: print c["name"] Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  43. 43. Graph Traversals Traversal Framework Output RAF SYNERGY SDN BHD PRIMABUMI SDN BHD AVERROES PHARMACEUTICALS SDN BHD QUALITY REPUTATION SDN BHD UNISENDO SDN BHD PRESTIGE PHARMA SDN BHD PHARMANIAGA LOGISTICS SDN BHD IDAMAN PHARMA SDN BHD PHARMASERV ALLIANCES SDN BHD Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  44. 44. Graph Traversals Traversing Graphs with Gremlin Gremlin Gremlin is a graph based programming language. Can express complex graph traversals concisely. Available at http://wiki.github.com/tinkerpop/gremlin/ Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  45. 45. Graph Traversals Traversing Graphs with Gremlin Traversing the Graph with Gremlin $ ./gremlin.sh ,,,/ (o o) --–-oOOo-( )-oOOo--–- gremlin> $ := g:key(”ministries”, ”KEMENTERIAN KESIHATAN”) ==>v[66] gremlin> ./inE[@label=”awarded by”]/outV/ outE[@label=”awarded to”]/inV/@name ==>PHARMASERV ALLIANCES SDN BHD ==>IDAMAN PHARMA SDN BHD ==>PHARMANIAGA LOGISTICS SDN BHD ==>PRIMABUMI SDN BHD ==>PRESTIGE PHARMA SDN BHD ==>UNISENDO SDN BHD ==>PRIMABUMI SDN BHD ==>QUALITY REPUTATION SDN BHD ==>AVERROES PHARMACEUTICALS SDN BHD ==>PRIMABUMI SDN BHD ..... Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  46. 46. Graph Traversals Traversing Graphs with Gremlin Explanation ./inE[@label=”awarded by”]/outV/outE[@label=”awarded to”]/inV/@name inE - incoming edges outV - outgoing vertices outE - outgoing edges inV - incoming vertices Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  47. 47. Graph Traversals Traversing Graphs with Gremlin Explanation ./inE[@label=”awarded by”]/outV/outE[@label=”awarded to”]/inV/@name Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  48. 48. Graph Traversals Traversing Graphs with Gremlin Explanation ./inE[@label=”awarded by”]/outV/outE[@label=”awarded to”]/inV/@name Get current object (.) (the ’KEMENTERIAN KESIHATAN’ node). Get the incoming edges labeled ”awarded by” (inE[@label=”awarded by”]). Get the outgoing vertices of those edges (outV) (the contract nodes). Get the outgoing ”awarded to” edges of the contract nodes (outE[@label=”awarded to”]). Get the incoming vertices of those edges (inV) (the business entity vertices). Get the name attributes of those vertices (@name). Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  49. 49. Graph Visualizations Gephi Gephi Photoshop for graphs. Supports for various graph layout algorithms. Graph metrics supported - clustering coefficient. pagerank, diameter, betweeness centrality, closeness centrality File formats supported - csv, graphml, gexf etc.. http://www.gephi.org Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  50. 50. Graph Visualizations Gephi Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  51. 51. Graph Visualizations Gephi Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  52. 52. Mashing Up Adding External Data Sources Mashing Up Lets add shareholding data from Suruhanjaya Syarikat Malaysia (SSM) to the graph so that we can show the tenders that have been awarded to Telekom Malaysia BERHAD and any of its subsidiaries/associate companies. Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  53. 53. Mashing Up Adding External Data Sources Connecting Telekom Malaysia Berhad and Telekom Smart School Sdn Bhd telekom = business entities["TELEKOM MALAYSIA BERHAD"] telekom smart school = business entities["TELEKOM SMART SCHOOL SDN BHD"] telekom multi media = db.node( name="TELEKOM MULTI-MEDIA SDN BHD", no="345420-H", text="TELEKOM MULTI-MEDIA SDN BHD", type="business entity") telekom.shareholder in(telekom multi media, units=1650000) telekom multi media.shareholder in(telekom smart school, units=7650000) Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  54. 54. Mashing Up Adding External Data Sources Graph Centered at Telekom Malaysia Berhad Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  55. 55. Mashing Up Adding External Data Sources Graph Centered at Telekom Smart School Sdn Bhd Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  56. 56. Mashing Up Traversing to Find Direct/Indirect Awards The Traverser class AllTendersDirectIndirect(neo4j.Traversal): types = [neo4j.Incoming.awarded to, neo4j.Outgoing.shareholder in] order = neo4j.DEPTH FIRST stop = neo4j.STOP AT END OF GRAPH def isReturnable(self, position): if position["type"] == "tender": return True else: return False Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  57. 57. Mashing Up Traversing to Find Direct/Indirect Awards Executing the Traverser and the Output Executing the Traversal Definition telekom = business entities["TELEKOM MALAYSIA BERHAD"] tenders = AllTendersDirectIndirect(telekom) for tender in tenders: print tender["no"] Output 30/2009 35/2009 8/2009 162/2009 JASA/OP/1/2009 Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  58. 58. Wrapup Making this Easier Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  59. 59. Wrapup Making this Easier Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
  60. 60. Wrapup Making this Easier Mohammed Firdaus, Muhd Sharuzzamal Bakri Open Source Tools for Creating Mashups with Government Datas
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