Presentation is loading. Please wait.

Presentation is loading. Please wait.

Logics for Data and Knowledge Representation Semantic Matching Lab.

Published byBeryl McLaughlin Modified over 8 years ago

Similar presentations

Presentation on theme: "Logics for Data and Knowledge Representation Semantic Matching Lab."— Presentation transcript:

1 Logics for Data and Knowledge Representation Semantic Matching Lab

2 Outline  S-Match project  Theory vs Code  Try vs Use vs Hack = GUI vs CLI vs API  Demos  Exercise 1: Experiment in GUI  Exercise 2: Experiment in CLI  Exercise 3: Experiment in API  Exercise 4: Your own dataset  convert  match  analyze 2

3 S-Match project: Theory vs Code  Algorithm  Framework  Library 3 INTRODUCTION :: KINDS OF MATCHING :: STEPS :: KINDS OF SCHEMAS :: S-MATCH :: MINSMATCH

4 S-Match project: GUI  Demo1: GUI 4 INTRODUCTION :: KINDS OF MATCHING :: STEPS :: KINDS OF SCHEMAS :: S-MATCH :: MINSMATCH

5 S-Match project: CLI  Demo2: CLI 5 INTRODUCTION :: KINDS OF MATCHING :: STEPS :: KINDS OF SCHEMAS :: S-MATCH :: MINSMATCH

6 S-Match project: API  Demo3: API 6 INTRODUCTION :: KINDS OF MATCHING :: STEPS :: KINDS OF SCHEMAS :: S-MATCH :: MINSMATCH

7 S-Match project: API  Main components:  entry point: MatchManager  formats: loaders+renderers  offline: preprocessors+classifier  online: element+structure  Tools & Extensions:  Matrices  Filters  other implementations 7 INTRODUCTION :: KINDS OF MATCHING :: STEPS :: KINDS OF SCHEMAS :: S-MATCH :: MINSMATCH

8 Exercise 1: GUI  http://sourceforge.net/projects/s-match/ http://sourceforge.net/projects/s-match/  s-match-20131104.zip  download, unpack, read readme.txt ;)  read manual: http://sf.net/apps/trac/s-match/wiki/Manualhttp://sf.net/apps/trac/s-match/wiki/Manual  match C and W datasets using GUI 8 INTRODUCTION :: KINDS OF MATCHING :: STEPS :: KINDS OF SCHEMAS :: S-MATCH :: MINSMATCH

9 Exercise 2: CLI  http://sourceforge.net/projects/s-match/ http://sourceforge.net/projects/s-match/  s-match-20131104.zip  download, unpack, read readme.txt ;)  read manual: http://sf.net/apps/trac/s-match/wiki/Manualhttp://sf.net/apps/trac/s-match/wiki/Manual  match C and W datasets using CLI  there is a cheatsheet – all-cw.cmd (and all-cw.sh) 9 INTRODUCTION :: KINDS OF MATCHING :: STEPS :: KINDS OF SCHEMAS :: S-MATCH :: MINSMATCH

10 Exercise 3: API  http://sourceforge.net/projects/s-match/ http://sourceforge.net/projects/s-match/  s-match-20131104.zip  download, unpack, read readme.txt ;)  read manual: http://sf.net/apps/trac/s-match/wiki/Manualhttp://sf.net/apps/trac/s-match/wiki/Manual  match C and W datasets using API  there is a cheatsheet – SMatchAPIDemo.java 10 INTRODUCTION :: KINDS OF MATCHING :: STEPS :: KINDS OF SCHEMAS :: S-MATCH :: MINSMATCH

11 Exercise 4: Your own dataset  http://sourceforge.net/projects/s-match/ http://sourceforge.net/projects/s-match/  s-match-20131104.zip  download, unpack, read readme.txt ;)  convert  automatic or manual  match  offline + online. GUI? CLI? API?  analyze  manual? automatic?  Dataset example:  http://oaei.ontologymatching.org/ http://oaei.ontologymatching.org/  2009 directory dataset 11 INTRODUCTION :: KINDS OF MATCHING :: STEPS :: KINDS OF SCHEMAS :: S-MATCH :: MINSMATCH

12 Exercises Step-by-Step  The following is a step-by-step guide for the exercises  The guides are for Windows PC  for other OSs steps are similar  Ensure to have JRE (or JDK for Ex. #3) on your computer 12 INTRODUCTION :: KINDS OF MATCHING :: STEPS :: KINDS OF SCHEMAS :: S-MATCH :: MINSMATCH

13 Exercise 1: GUI 13 INTRODUCTION :: KINDS OF MATCHING :: STEPS :: KINDS OF SCHEMAS :: S-MATCH :: MINSMATCH

14 Exercise 1: GUI 14 INTRODUCTION :: KINDS OF MATCHING :: STEPS :: KINDS OF SCHEMAS :: S-MATCH :: MINSMATCH

15 Exercise 1: GUI 15 INTRODUCTION :: KINDS OF MATCHING :: STEPS :: KINDS OF SCHEMAS :: S-MATCH :: MINSMATCH

16 Exercise 1: GUI 16 INTRODUCTION :: KINDS OF MATCHING :: STEPS :: KINDS OF SCHEMAS :: S-MATCH :: MINSMATCH

17 Exercise 1: GUI 17 INTRODUCTION :: KINDS OF MATCHING :: STEPS :: KINDS OF SCHEMAS :: S-MATCH :: MINSMATCH

18 Exercise 1: GUI 18 INTRODUCTION :: KINDS OF MATCHING :: STEPS :: KINDS OF SCHEMAS :: S-MATCH :: MINSMATCH

19 Exercise 1: GUI 19 INTRODUCTION :: KINDS OF MATCHING :: STEPS :: KINDS OF SCHEMAS :: S-MATCH :: MINSMATCH

20 Exercise 1: GUI 20 INTRODUCTION :: KINDS OF MATCHING :: STEPS :: KINDS OF SCHEMAS :: S-MATCH :: MINSMATCH

21 Exercise 1: GUI 21 INTRODUCTION :: KINDS OF MATCHING :: STEPS :: KINDS OF SCHEMAS :: S-MATCH :: MINSMATCH

22 Exercise 1: GUI 22 INTRODUCTION :: KINDS OF MATCHING :: STEPS :: KINDS OF SCHEMAS :: S-MATCH :: MINSMATCH

23 Exercise 2: CLI 23 INTRODUCTION :: KINDS OF MATCHING :: STEPS :: KINDS OF SCHEMAS :: S-MATCH :: MINSMATCH

24 Exercise 2: CLI 24 INTRODUCTION :: KINDS OF MATCHING :: STEPS :: KINDS OF SCHEMAS :: S-MATCH :: MINSMATCH match-manager.cmd convert..\test-data\cw\c.txt..\test-data\cw\c.xml -config=..\conf\s-match-Tab2XML.properties

25 Exercise 2: CLI 25 INTRODUCTION :: KINDS OF MATCHING :: STEPS :: KINDS OF SCHEMAS :: S-MATCH :: MINSMATCH match-manager.cmd convert..\test-data\cw\c.txt..\test-data\cw\c.xml -config=..\conf\s-match-Tab2XML.properties

26 Exercise 2: CLI 26 INTRODUCTION :: KINDS OF MATCHING :: STEPS :: KINDS OF SCHEMAS :: S-MATCH :: MINSMATCH match-manager.cmd convert..\test-data\cw\w.txt..\test-data\cw\w.xml -config=..\conf\s-match-Tab2XML.properties

27 Exercise 2: CLI 27 INTRODUCTION :: KINDS OF MATCHING :: STEPS :: KINDS OF SCHEMAS :: S-MATCH :: MINSMATCH match-manager.cmd offline..\test-data\cw\c.xml..\test-data\cw\c.xml

28 Exercise 2: CLI 28 INTRODUCTION :: KINDS OF MATCHING :: STEPS :: KINDS OF SCHEMAS :: S-MATCH :: MINSMATCH match-manager.cmd offline..\test-data\cw\w.xml..\test-data\cw\w.xml

29 Exercise 2: CLI 29 INTRODUCTION :: KINDS OF MATCHING :: STEPS :: KINDS OF SCHEMAS :: S-MATCH :: MINSMATCH match-manager.cmd online..\test-data\cw\c.xml..\test-data\cw\w.xml..\test-data\cw\result-cw.txt

30 Exercise 2: CLI 30 INTRODUCTION :: KINDS OF MATCHING :: STEPS :: KINDS OF SCHEMAS :: S-MATCH :: MINSMATCH

31 Exercise 3: API 31 INTRODUCTION :: KINDS OF MATCHING :: STEPS :: KINDS OF SCHEMAS :: S-MATCH :: MINSMATCH

32 Exercise 3: API 32 INTRODUCTION :: KINDS OF MATCHING :: STEPS :: KINDS OF SCHEMAS :: S-MATCH :: MINSMATCH

33 Exercise 3: API 33 INTRODUCTION :: KINDS OF MATCHING :: STEPS :: KINDS OF SCHEMAS :: S-MATCH :: MINSMATCH

34 Exercise 3: API 34 INTRODUCTION :: KINDS OF MATCHING :: STEPS :: KINDS OF SCHEMAS :: S-MATCH :: MINSMATCH

Download ppt "Logics for Data and Knowledge Representation Semantic Matching Lab."

Similar presentations

Development of a visual studio plugin to visualize a Blocks-Graph

Development of a visual studio plugin to visualize a Blocks-Graph
Section 4: Language and Intelligence Overview Instructor: Sandiway Fong Department of Linguistics Department of Computer Science.

Section 4: Language and Intelligence Overview Instructor: Sandiway Fong Department of Linguistics Department of Computer Science.
Wrap up  Matching  Geometry  Semantics  Multiscale modelling / incremental update / generalization  Geometric algorithms  Web Services.

Wrap up  Matching  Geometry  Semantics  Multiscale modelling / incremental update / generalization  Geometric algorithms  Web Services.
Network Hosts Analyzer Hadas Shumovitch Elad Levi Tal Katz

Network Hosts Analyzer Hadas Shumovitch Elad Levi Tal Katz
Presentation Outline  Project Aims  Introduction of Digital Video Library  Introduction of Our Work  Considerations and Approach  Design and Implementation.

Presentation Outline  Project Aims  Introduction of Digital Video Library  Introduction of Our Work  Considerations and Approach  Design and Implementation.
Interact: RETSINA’s Agent Editor Provides a GUI interface to agent’s task and reduction libraries Allows –quick development of new libraries –easy extensions.

Interact: RETSINA’s Agent Editor Provides a GUI interface to agent’s task and reduction libraries Allows –quick development of new libraries –easy extensions.
Introduction to Java Lab CS110A – Lab Section 004 Instructor: Duo Wei.

Introduction to Java Lab CS110A – Lab Section 004 Instructor: Duo Wei.
Digital Library Presenter: Gary Phelps Prof. Guo Lab School of Engineering.

Digital Library Presenter: Gary Phelps Prof. Guo Lab School of Engineering.
Carter, R. & Nash, W. (1990). Seeing through language: a guide to styles of English writing. Oxford : Basil Blackwell. American Psych Assoc.

Carter, R. & Nash, W. (1990). Seeing through language: a guide to styles of English writing. Oxford : Basil Blackwell. American Psych Assoc.
Java Programming, 3e Concepts and Techniques Chapter 1 An Introduction to Java and Program Design.

Java Programming, 3e Concepts and Techniques Chapter 1 An Introduction to Java and Program Design.
Tony Hoare ¢ Turing Award 1980 ¢ Program Verification ¢ Algol 60 ¢ Axiomatic Semantics ¢ Floyd-Hoare Logic ¢ Concurrent Programs ¢ Communicating Sequential.

Tony Hoare ¢ Turing Award 1980 ¢ Program Verification ¢ Algol 60 ¢ Axiomatic Semantics ¢ Floyd-Hoare Logic ¢ Concurrent Programs ¢ Communicating Sequential.
Visualization Schemas for Flexible Information Visualization Chris North, Nathan Conklin, Varun Saini Virginia Tech. Proceedings of IEEE Symposium on InfoVis’02.

Visualization Schemas for Flexible Information Visualization Chris North, Nathan Conklin, Varun Saini Virginia Tech. Proceedings of IEEE Symposium on InfoVis’02.
Introduction to Java.

Introduction to Java.
Pan-European infrastructure for Ocean & Marine Data management An EU Integrated research Infrastructure Initiative (I3) MIKADO : Java tool for XML Creation.

Pan-European infrastructure for Ocean & Marine Data management An EU Integrated research Infrastructure Initiative (I3) MIKADO : Java tool for XML Creation.
CS0007: Introduction to Computer Programming Setting Up Java.

CS0007: Introduction to Computer Programming Setting Up Java.
Sachin Chopra Trevor Garson Madhuri Rapaka Introduction Tool to Tag all your Photographs within minutes 2 – Pass Processing Face Detection – Run the.

Sachin Chopra Trevor Garson Madhuri Rapaka Introduction Tool to Tag all your Photographs within minutes 2 – Pass Processing Face Detection – Run the.
Object Oriented Software Development 1. Introduction to C# and Visual Studio.

Object Oriented Software Development 1. Introduction to C# and Visual Studio.
© 2011 Xilinx, Inc. All Rights Reserved This material exempt per Department of Commerce license exception TSU Xilinx Tool Flow.

© 2011 Xilinx, Inc. All Rights Reserved This material exempt per Department of Commerce license exception TSU Xilinx Tool Flow.
Create with SharePoint 2010 Jen Dodd Sr. Solutions Consultant

Create with SharePoint 2010 Jen Dodd Sr. Solutions Consultant
Introducing Enterprise Technologies David Dischiave Syracuse University School of Information Studies “The original iSchool” June 3, 2013 Information School,

Introducing Enterprise Technologies David Dischiave Syracuse University School of Information Studies “The original iSchool” June 3, 2013 Information School,

Similar presentations

Ads by Google