Immigrant Definition of Immigrant by MerriamWebster

August 31, 2018

Insert $p isa person has identifier <pid> has firstname <name1> if (<surname> != "") do { has surname <surname> } if (<name2> != "") do { has middlename <name2> } if (<picture> != "") do { has picture <picture> } if (<age> != "") do { has age @long(<age>) } if (<born> != "") do { has birth-date <born> } if (<dead> != "") do { has death-date <dead> } has gender <gender>; For each row in the CSV file the template inserts a person entity with resources that take the value the cells in that row Where data is optional the template checks to see if it is present before adding the resources for middlename surname picture age birth and. Log in to edit comparisons or create new comparisons in your area expertise! Each row records a parent and child with two rows for each the three children listed: parent,child Timothy Titus,William Sanford Titus Mary Guthrie William Sanford Titus John Niesz,Elizabeth Niesz Mary Young,Elizabeth Niesz Elizabeth Niesz,Mary Melissa Titus William Sanford Titus,Mary Melissa Titus The Graql template code for the Grakn is as follows: The file contains two columns that correspond to both spouses in a and an optional column for a photograph the happy couple: spouse1,spouse2,picture Timothy Titus,Mary Guthrie John Niesz,Mary Young, . /-Ty9Ox8v7LUw/VKoGzIlsMII/AAAAAAAAAZw/UtkUvrujvBQ/s1600 Elizabeth Niesz,William Sanford Titus The Graql template code for the is as follows: Collapse All | Expand All This example looks at the migration genealogy data in CSV format to build a knowledge graph in The data is used as the basis a blog post that illustrates the fundamentals the Grakn visualiser reasoner and analytics components As the blog post explains the original data was a document from Lenzen Research that described the family history Catherine Niesz Titus for three generations her maternal lineage In this example we will walk through how to migrate the CSV data into Grakn and confirm that we have succeeded using the Grakn visualiser. If you read this far you should follow us: "Immigration vs Migration." Diffen LLC n.d Web 20 Jun 2018 < > Calling the Grakn on the file using the above template (named weddings-.gql) is performed as follows: /graql migrate csv -i -t /s/weddings-.gql -k grakn The Graql insertion code is as follows: Match $x0 has identifier "Timothy Titus"; $y0 has identifier "Mary Guthrie"; insert (spouse1: $x0 spouse2: $y0) isa marriage; match $x0 has identifier "John Niesz"; $y0 has identifier "Mary Young"; insert has picture "http:\/\ . \/-Ty9Ox8v7LUw\/VKoGzIlsMII\/AAAAAAAAAZw\/UtkUvrujvBQ\/s1600\ " (spouse1: $x0 spouse2: $y0) isa marriage; match $y0 has identifier "William Sanford Titus"; $x0 has identifier "Elizabeth Niesz"; insert (spouse1: $x0 spouse2: $y0) isa marriage; # Migration Script For simplicity the /raw-data/ directory of the example project contains a script called that calls each migration script in turn so you can simply call the script from the terminal passing in the path to the Grakn /bin/ directory. <relative-Path-To-Grakn>/bin The migration will take a minute or two and the terminal will report which file it is migrating at each step When it is complete it will report that it is “Done migrating data” To check that it has been successful open the Grakn visualiser and select Types then Entities and choose one those presented to you (the entities should be those described above The visualiser will display the entities it has imported The screenshot below illustrates the result from selecting to see all person entities We have completed the data import and the knowledge graph can now be queried For example from the. While immigration means for an individual or a family to move to a new country from their country origin with due formalities at the embassy the word migration denotes the act moving from one place to another - within a country or across borders for people or birds and usually refers not to a single individual or family but a a larger demographic In other words you "migrate from" a place and "immigrate to" another Name1,name2,surname,gender,born,dead,pid,age,picture Timothy Titus male Timothy Titus Mary Guthrie,female Mary Guthrie John Niesz,male,1798-01-02,1872-03-06,John Niesz,74 Mary Young,female,1798-04-09,1868-10-28,Mary Young,70 William,Sanford,Titus,male,1818-03-23,01/01/1905,William Sanford Titus,76 Elizabeth Niesz,female,1820-08-27,1891-12-08,Elizabeth Niesz,71 Mary,Melissa,Titus,female,1847-08-12,10/05/1946,Mary Melissa Titus,98 The is a set template Graql statements that instruct the Grakn on how the CSV data can be mapped to the schema The Grakn applies the template to each row data in a CSV file replacing the indicated sections in the template with the value from a specific cell identified by the column header (the key) This sounds complicated but isn’t really as we will show The Graql template code for the people is as follows:

Match $x isa person has identifier $i; aggregate count; There should be 60 people in the dataset Data Export In this example we have imported a dataset stored in three separate CSV files into Grakn to build a simple knowledge graph We have discussed the schema and migration templates and shown how to apply the templates to the CSV data using the shell using a script file to automate calling the on each file It is possible to export the data from Grakn in gql format so that it can easily be loaded to a knowledge graph again without the need to migrate from CSV To export the data we use graql migrate command again as described in the migration documentation: Let’S take a look at the raw-data directory in the example project which contains the CSV files These files were put together by hand by our team mostly by Michelangelo.

The schema is a way to describe the entities and their relationships so the underlying knowledge graph can store them according to the Grakn model You can find out more in our guide to the Grakn Knowledge Model The schema allows Grakn to perform: logical reasoning over the represented knowledge such as the extraction implicit information from explicit data (inference) discovery inconsistencies in the data (validation) The schema is shown below There is a single entity person which has a number resources and can play various roles (parent child spouse1 and spouse2) in two possible relationships (parentship and ). ./graql migrate csv -i -t /s/births-.gql -k grakn The data insertion generated by the is as follows: To load into Grakn make sure the engine is running and choose a clean keyspace in which to work (here we use the default keyspace so we are cleaning it before we get started) /grakn server clean /grakn server start /graql console -f Data Migration Having loaded the schema the next steps are to populate the knowledge graph by migrating data into Grakn from CSV We will consider three CSV files that contain data to migrate into Grakn The file contains details the people that we will use to create seven person entities Note that not all fields are available for each person but at the very least each row is expected to have the following: Stay connected © All rights reserved Terms use | Privacy policy share # Export the schema /graql migrate export -schema > schema- # Export the data /graql migrate export -data > data- Exporting data or the schema from Grakn into Graql will always redirect to standard out so above we are sending the output to an appropriately named file Where Next? This example has illustrated how to migrate CSV data into Grakn Having read it you may want to further study our documentation about CSV migration and Graql migration language. Match $c isa person has identifier <child>; $p isa person has identifier <parent>; insert (child: $c parent: $p) isa parentship; For each row in the CSV file the template matches the child and parent cells to their corresponding person entities and then inserts a parentship relationship placing the entities it has matched into the child and parent roles Note: You must ensure that all entities exist in a knowledge graph before inserting relationships Calling the Grakn on the file using the above template (named births-.gql) is performed as follows:

Calling the Grakn on the file using the above template (named people-.gql) is performed as follows: /graql migrate csv -i -t /s/people-.gql -k grakn Note: Usage instructions for the Grakn are available as part our migration documentation The data insertion generated by the is as follows: T(["yt5235F5"," /embed/uicRkouflCE?iv_load_policy=3&rel=0&start=35"]); Political Context Immigration is a hot-button issue in developed countries such as the United States UK and France Migration on the other hand is a topic anthropological interest There are times when migration a population set to another country sets f political strife owing resistance from the native population a struggle for resources or backlash from the native labor pool in a struggle for jobs or other resources Match $x has identifier <spouse1>; $y has identifier <spouse2>; insert (spouse1: $x spouse2: $y) isa if (<picture> != "") do { has picture <picture> }; For each row in the CSV file the template matches the two spouse cells to their corresponding person entities and then inserts a relationship placing the entities it has matched into the spouse1 and spouse2 roles If there is data in the picture cell a picture attribute is also created for the relationship. For a detailed overview CSV migration we recommend that you take a look at the Grakn documentation on CSV Migration and Graql migration language Genealogy Data The data for this example can be found as a set CSV files in the sample-projects repository on Github which is also included in the Grakn distribution zip file The data was put together by our team from narrative information gleaned from the original Lenzen Research document with some minor additions to generate some interesting queries for Grakn’s reasoner.