Presentation is loading. Please wait.

Presentation is loading. Please wait.

ONTOLOGY ENGINEERING Lab #6 – October 6, 2014. The FILTER Keyword  Up to this point we’ve restricted the result set of a query by binding a variable.

Published byAnnabelle Moody Modified over 8 years ago

Similar presentations

Presentation on theme: "ONTOLOGY ENGINEERING Lab #6 – October 6, 2014. The FILTER Keyword  Up to this point we’ve restricted the result set of a query by binding a variable."— Presentation transcript:

1 ONTOLOGY ENGINEERING Lab #6 – October 6, 2014

2 The FILTER Keyword  Up to this point we’ve restricted the result set of a query by binding a variable to a resource using some object property. For example, the second statement of the following where clause “filters” the result set to roadways in Niagara County: SELECT ?route WHERE { ?route rdf:type dbpedia-owl:RouteOfTransportation. ?route dbpprop:counties. } LIMIT 100

3 The FILTER Keyword  The FILTER keyword enables filtering on string and numeric values. The following SELECT query returns roadways that have “bridge” somewhere in the english label. SELECT ?route ?label WHERE { ?route rdf:type dbpedia-owl:RouteOfTransportation. ?route rdfs:label ?label. FILTER regex(?label, "bridge", "i"). FILTER (lang(?label)= "en"). } LIMIT 100

4 The FILTER Keyword  The following SELECT query returns roadways that have lengths greater than 1000 miles. SELECT ?route ?length WHERE { ?route rdf:type dbpedia-owl:RouteOfTransportation. ?route dbpprop:lengthMi ?length. FILTER (?length > 1000) } LIMIT 100

5 The FILTER Keyword  The following SELECT query returns public universities located in latitudes between 42 and 43 degrees and in longitudes between -79 and -77 degrees. SELECT ?route ?latitude ?longitude WHERE { ?route rdf:type dbpedia-owl:RouteOfTransportation. ?route geo:lat ?latitude. ?route geo:long ?longitude. FILTER (?latitude > 42 && ?latitude < 43). FILTER (?longitude > -79 && ?longitude < -77). } LIMIT 100

6 The FILTER Keyword  The following SELECT query returns public companies that have revenues of more than 1 billion (US dollars) or equity of more than 100 billion (US dollars) SELECT ?company ?int_revenue ?int_equity WHERE { ?company dbpedia-owl:type dbpedia:Public_company. ?company dbpedia-owl:revenue ?revenue. ?company dbpedia-owl:equity ?equity. FILTER (datatype(?revenue) = ). BIND(xsd:integer(?revenue) as ?int_revenue). BIND(xsd:integer(?equity) as ?int_equity). FILTER (?int_revenue > 1000000000 || ?int_equity > 100000000000) } LIMIT 100

7 The Filter Keyword  The following SELECT query uses the FILTER keyword, logical operator ! and the bound function to return roadways that do not have an associated name of their county SELECT ?route ?county WHERE { ?route rdf:type dbpedia-owl:RouteOfTransportation. OPTIONAL {?route dbpprop:counties ?county }. FILTER(!bound(?county)). } LIMIT 100

8 The UNION Keyword  Allows you to join multiple queries and return all of the result sets  The following query returns roadways located in Niagara or Orleans counties: SELECT ?route WHERE { { ?route rdf:type dbpedia-owl:RouteOfTransportation. ?route dbpprop:counties. } UNION { ?route rdf:type dbpedia-owl:RouteOfTransportation. ?route dbpprop:counties. } 8

9 The UNION Keyword  The part of a union query that is common can be written just once: SELECT ?route WHERE { ?route rdf:type dbpedia-owl:RouteOfTransportation. {?route dbpprop:counties.} UNION {?route dbpprop:counties.} } 9

10 GROUP BY Keyword  Allows grouping of data together into sets on which aggregate functions can be performed  The following query returns the total length roadways by US state: SELECT ?state (SUM(?length) AS ?totalroadways) WHERE { ?route rdf:type dbpedia-owl:RouteOfTransportation. ?route dbpprop:counties ?county. ?county dbpedia-owl:state ?state. ?route dbpprop:lengthMi ?length. } GROUP BY ?state ORDER BY DESC(?totalroadways) 10

11 GROUP BY Keyword  Other functions available for use include AVG(), MIN(), MAX(), and COUNT()  The following query returns the average length of roadways by US state: SELECT ?state (AVG(?length) AS ?avgroadways) WHERE { ?route rdf:type dbpedia-owl:RouteOfTransportation. ?route dbpprop:counties ?county. ?county dbpedia-owl:state ?state. ?route dbpprop:lengthMi ?length. } GROUP BY ?state ORDER BY DESC(?avgroadways) 11

12 HAVING Keyword  Works for aggregate values in the same way as the FILTER keyword works for individual values  The following query returns states having more than 70,000 miles in roadways: SELECT ?state (SUM(?length) AS ?totalroadways) WHERE { ?route rdf:type dbpedia-owl:RouteOfTransportation. ?route dbpprop:counties ?county. ?county dbpedia-owl:state ?state. ?route dbpprop:lengthMi ?length. } GROUP BY ?state HAVING (SUM(?length) > 70000) ORDER BY DESC(?totalroadways) 12

13 Mathematical Functions  Allow individual values to be added, subtracted, multiplied and divided to return calculated values  The following query returns the area per mile ratio for states in the United States SELECT ?state (?area /(SUM(?length) as ?totallength) as ?areapermile) WHERE { ?route rdf:type dbpedia-owl:RouteOfTransportation. ?route dbpprop:counties ?county. ?county dbpedia-owl:state ?state. ?route dbpprop:lengthMi ?length. ?state dbpedia-owl:areaTotal ?area. } ORDER BY DESC(?areapermile) 13

14 Building a Top Ten List of Area to Length Ratios SELECT ?state (?area /(SUM(?length) as ?totallength) as ?areapermile) WHERE { ?route rdf:type dbpedia-owl:RouteOfTransportation. ?route dbpprop:counties ?county. ?county dbpedia-owl:state ?state. ?route dbpprop:lengthMi ?length. ?state dbpedia-owl:areaTotal ?area. } ORDER BY DESC(?areapermile) LIMIT 10 14

15 Exercises  Find the number of roadways in counties of New York State  Find the roadways that have a mention of “Buffalo” somewhere in the english version of their abstract  Find roadways that are located in (dbpedia- owl:location) either Toronto or Edmonton  Find roadways that are located in counties that have a population (dbpedia-owl:populationTotal) greater than 1.5 million

Download ppt "ONTOLOGY ENGINEERING Lab #6 – October 6, 2014. The FILTER Keyword  Up to this point we’ve restricted the result set of a query by binding a variable."

Similar presentations

Ontology Engineering Lab #8 October 21, 2013. Review - Trial Query Exercises  What are the bones of the foot? (not sure this can be done in a single.

Ontology Engineering Lab #8 October 21, Review - Trial Query Exercises  What are the bones of the foot? (not sure this can be done in a single.
© 2008 The McGraw-Hill Companies, Inc. All rights reserved. ACCESS 2007 M I C R O S O F T ® THE PROFESSIONAL APPROACH S E R I E S Lesson 10 – Designing.

© 2008 The McGraw-Hill Companies, Inc. All rights reserved. ACCESS 2007 M I C R O S O F T ® THE PROFESSIONAL APPROACH S E R I E S Lesson 10 – Designing.
Unit 2 Marketing Math.

Unit 2 Marketing Math.
5 Copyright © 2007, Oracle. All rights reserved. Reporting Aggregated Data Using the Group Functions.

5 Copyright © 2007, Oracle. All rights reserved. Reporting Aggregated Data Using the Group Functions.
4 การใช้ SQL Functions. Copyright © 2007, Oracle. All rights reserved. 4 - 2 What Are Group Functions? Group functions operate on sets of rows to give.

4 การใช้ SQL Functions. Copyright © 2007, Oracle. All rights reserved What Are Group Functions? Group functions operate on sets of rows to give.
Using Relational Databases and SQL Steven Emory Department of Computer Science California State University, Los Angeles Lecture 7: Aggregates.

Using Relational Databases and SQL Steven Emory Department of Computer Science California State University, Los Angeles Lecture 7: Aggregates.
Using Relational Databases and SQL Steven Emory Department of Computer Science California State University, Los Angeles Lecture 7: Aggregates.

Using Relational Databases and SQL Steven Emory Department of Computer Science California State University, Los Angeles Lecture 7: Aggregates.
Structured Query Language Part I Chapter Three CIS 218.

Structured Query Language Part I Chapter Three CIS 218.
WRITING BASIC SQL SELECT STATEMENTS Lecture 7 1. Outlines  SQL SELECT statement  Capabilities of SELECT statements  Basic SELECT statement  Selecting.

WRITING BASIC SQL SELECT STATEMENTS Lecture 7 1. Outlines  SQL SELECT statement  Capabilities of SELECT statements  Basic SELECT statement  Selecting.
SQL Operations Aggregate Functions Having Clause Database Access Layer A2 Teacher Up skilling LECTURE 5.

SQL Operations Aggregate Functions Having Clause Database Access Layer A2 Teacher Up skilling LECTURE 5.
A lesson approach © 2011 The McGraw-Hill Companies, Inc. All rights reserved. a lesson approach Microsoft® Access 2010 © 2011 The McGraw-Hill Companies,

A lesson approach © 2011 The McGraw-Hill Companies, Inc. All rights reserved. a lesson approach Microsoft® Access 2010 © 2011 The McGraw-Hill Companies,
Chapter 3A Semantic Web Primer 1 Chapter 3 Querying the Semantic Web Grigoris Antoniou Paul Groth Frank van Harmelen Rinke Hoekstra.

Chapter 3A Semantic Web Primer 1 Chapter 3 Querying the Semantic Web Grigoris Antoniou Paul Groth Frank van Harmelen Rinke Hoekstra.
Spreadsheets Objective 6.02

Spreadsheets Objective 6.02
2 Explain advanced spreadsheet concepts and functions Advanced Calculations 1 Sabbir Saleh_Lecture_17_Computer Application_BBA.

2 Explain advanced spreadsheet concepts and functions Advanced Calculations 1 Sabbir Saleh_Lecture_17_Computer Application_BBA.
Xin 2010-11-01.  Syntax ◦ SELECT field1 AS title1, field2 AS title2,... ◦ FROM table1, table2 ◦ WHERE conditions  Make a query that returns all records.

Xin  Syntax ◦ SELECT field1 AS title1, field2 AS title2,... ◦ FROM table1, table2 ◦ WHERE conditions  Make a query that returns all records.
Chapter 3 Querying RDF stores with SPARQL. Why an RDF Query Language? Why not use an XML query language? XML at a lower level of abstraction than RDF.

Chapter 3 Querying RDF stores with SPARQL. Why an RDF Query Language? Why not use an XML query language? XML at a lower level of abstraction than RDF.
SCIENTIFIC NOTATION What is it? And How it works?.

SCIENTIFIC NOTATION What is it? And How it works?.
R7 Rational Expressions. Rational Expressions An expression that can be written in the form P/Q, where P and Q are polynomials and Q is not equal to zero.

R7 Rational Expressions. Rational Expressions An expression that can be written in the form P/Q, where P and Q are polynomials and Q is not equal to zero.
Using Special Operators (LIKE and IN)

Using Special Operators (LIKE and IN)
Structured Query Language. Group Functions What are group functions ? Group Functions Group functions operate on sets of rows to give one result per group.

Structured Query Language. Group Functions What are group functions ? Group Functions Group functions operate on sets of rows to give one result per group.

Similar presentations

Ads by Google