How to Analyze Graph-Based Models - Www-st.inf.tu-dresden.de ...

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Searching with Datalog or DLQueries on UML Class Diagrams // Step1: construct fact base: the UML class diagram // in Datalog fact syntax. teacher(programming,john). hasCourse(programming, lisp). hasPupil(programming,mary). hasModule(lisp,closures). // Step 2: construct integrity constraint rules reads(Person,Module) :- hasPupil(P,A), hasCourse(P,C), hasModule(C,M). // Step 3: let rules run: form and execute a query :- reads(mary, Module) // the answer Module = closures Prof. Uwe Aßmann, Softwaretechnologie II 58
Example: Web Queries with Logic ► The Web is a giganteous graph ► Pages are trees, but links create real graphs ■ Links are a secondary structure which overlays the primary tree structure ■ Interpret tree and links as relations ■ <strong>Graph</strong> algorithms and queries can be applied <strong>to</strong> the web! ► RDF (resource description framework, a simple graph language) ► OWL (description logic, www.w3c.org) adds classes, inheritance, inheritance on binary relations, expressions and queries on binary relations ► Other experimental languages <strong>Graph</strong>log, Hy+, WebOQL (Toron<strong>to</strong>), Flora/XSB, Florijd (Freiburg) ► New languages are being developed ■ In the European network REWERSE (www.rewerse.net) Prof. Uwe Aßmann, Softwaretechnologie II 59
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How to</st
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Obligatory Reading
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Goals ► Understand that software
Page 7 and 8: The Problem: How <
Page 9 and 10: Partially Collapsed Prof. Uwe Aßma
Page 11 and 12: Requirements for Modelling in Requi
Page 13 and 14: Example: Rename Refacto</st
Page 15 and 16: Refactoring on Def
Page 17 and 18: Data-Flow Graphs
Page 19 and 20: Precise Call Graph
Page 21 and 22: Types of Graphs in
Page 23 and 24: Definitions ► Fan-in ■ In-degre
Page 25 and 26: Trees ► One source (root) ► Man
Page 27 and 28: Directed Graphs (D
Page 29 and 30: Reducible Graphs (
Page 31 and 32: Strength of Assertions in M
Page 33 and 34: Structuring Improves Worst Case Lis
Page 35 and 36: Methods and Tools for Analysis of <
Page 37 and 38: Graphs and Fact Da
Page 39 and 40: Queries on Graphs
Page 41 and 42: Layering of Systems ► To be compr
Page 43 and 44: Pattern and Rules ► Parenthood ca
Page 45 and 46: Same Generation ► Beyond sisters
Page 47 and 48: Same Generation Introduces Layers
Page 49 and 50: Searching Graphs -
Page 51 and 52: Same Generation Datalog Program isP
Page 53 and 54: Description Logic (DL) ► Is a spe
Page 55 and 56: Application Areas of Datalog, DL, O
Page 57: Answer Alternative category text Ex
Page 61 and 62: Who is Descendant of Whom? ► Some
Page 63 and 64: Impact of Basic Rule GustavAdolf Ad
Page 65 and 66: [S|M][S|M]PP Path Problems: Variant
Page 67 and 68: Exercise: Railway Routes ► Base (
Page 69 and 70: Central Theorem of Datalog/DL/EARS
Page 71 and 72: Applications of Graph</stro
Page 73 and 74: Generic Datalog Queries ► Transit
Page 75 and 76: Example 1: Consistency Checking for
Page 77 and 78: Second Idea ► Analyze</st
Page 79 and 80: Example 2: Consistency Checking of
Page 81 and 82: Second Idea ► Write queries that
Page 83 and 84: Example 3: UML Specifications in So
Page 85 and 86: Answer Alternative category text Ex
Page 87 and 88: Third Idea: Use Onto</stron
Page 89: The End Softwaretechnologie II, ©
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