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LAOS: L ayered WWW A HS Authoring Model and their corresponding Algebraic O perator s

LAOS: L ayered WWW A HS Authoring Model and their corresponding Algebraic O perator s. Dr. Alexandra Cristea a.i.cristea@warwick.ac.uk http://www.dcs.warwick.ac.uk/~acristea/. LAOS. What is LAOS? Concept based adaptation LAOS components Why LAOS? LAOS authoring steps Future directions.

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LAOS: L ayered WWW A HS Authoring Model and their corresponding Algebraic O perator s

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  1. LAOS:Layered WWW AHS Authoring Model and their corresponding Algebraic Operators Dr. Alexandra Cristea a.i.cristea@warwick.ac.uk http://www.dcs.warwick.ac.uk/~acristea/

  2. LAOS • What is LAOS? • Concept based adaptation • LAOS components • Why LAOS? • LAOS authoring steps • Future directions Invited Tutorial, Madrid, Spain April 2008

  3. What is LAOS? Invited Tutorial, Madrid, Spain April 2008

  4. What is LAOS ? • a generalized model for generic adaptive hypermedia authoring • based on the AHAM model • based on concept maps • http://wwwis.win.tue.nl/~alex/HTML/Minerva/papers/WWW03-cristea-mooij.doc • http://www.ifets.info/journals/7_4/7.pdf Invited Tutorial, Madrid, Spain April 2008

  5. Why LAOS? Invited Tutorial, Madrid, Spain April 2008

  6. General motivation for layer distributed information • Flexibility • Expressivity (semantics: also meta-data) • Reusability • Non-redundancy • Cooperation • Inter-operability • Standardization Invited Tutorial, Madrid, Spain April 2008

  7. LAOS components Invited Tutorial, Madrid, Spain April 2008

  8. LAOS components • domain model (DM), • goal and constraints model (GM), • user model (UM), • adaptation model (AM) and • presentation model (PM) Invited Tutorial, Madrid, Spain April 2008

  9. Invited Tutorial, Madrid, Spain April 2008

  10. LAOS motivation in detail • Why domain model (DM) ? • Why goal and constraints model (GM)? • Why user model (UM)? • Why adaptation model (AM)? and • Why presentation model (PM)? Invited Tutorial, Madrid, Spain April 2008

  11. LAOS motivation in detail • Why domain model (DM) ? • Because of historical AHS, ITS, AHAM • Why goal and constraints model (GM)? • Why user model (UM)? • Why adaptation model (AM)? and • Why presentation model (PM)? Invited Tutorial, Madrid, Spain April 2008

  12. LAOS motivation in detail • Why domain model (DM) ? • Why goal and constraints model (GM)? • Why user model (UM)? • Because of historical ITS, AHS, AHAM • Why adaptation model (AM)? and • Why presentation model (PM)? Invited Tutorial, Madrid, Spain April 2008

  13. LAOS motivation in detail • Why domain model (DM) ? • Why goal and constraints model (GM)? • Why user model (UM)? • Why adaptation model (AM)? and • Because of AHAM – see also LAG !! • Why presentation model (PM)? Invited Tutorial, Madrid, Spain April 2008

  14. LAOS motivation in detail • Why domain model (DM) ? • Why goal and constraints model (GM)? • Why user model (UM)? • Why adaptation model (AM)? and • Why presentation model (PM)? • Because of Kuypers, AHAM Invited Tutorial, Madrid, Spain April 2008

  15. LAOS motivation in detail • Why domain model (DM) ? • Why goal and constraints model (GM)? • Because of book metaphor • Also because of goal adaptation!! (see adapt to what?) • Why user model (UM)? • Why adaptation model (AM)? and • Why presentation model (PM)? Invited Tutorial, Madrid, Spain April 2008

  16. GM book metaphor – why? • Domain model: • equivalent to skip the presentation and just tell the user to read the book. • search space too big • Not only one purposeful orientation Invited Tutorial, Madrid, Spain April 2008

  17. GM motivation • intermediate authoring step, • goal & constraints related: • goals: focused presentation • specific end-state • constraints: limit search space • DM filter Invited Tutorial, Madrid, Spain April 2008

  18. DM Invited Tutorial, Madrid, Spain April 2008

  19. GM Invited Tutorial, Madrid, Spain April 2008

  20. Authoring steps in LAOS • STEP 1: write domain concepts + concept hierarchy + attributes (contents) + other domain relations • STEP 2: add content related adaptive features regarding GM (design alternatives – AND, OR, weights, etc.) • STEP 3: add UM related features (simplest way, tables, with attribute-value pairs for user-related entities (AHAM); UM can be represented as a concept map) • STEP 4: decide among adaptation strategies, write in adaptation language medium-level adaptation rules or give the complete set of low level rules (such as condition-action (CA) or IF-THEN rules). • STEP 5: define format (presentation means-related; define chapters) Invited Tutorial, Madrid, Spain April 2008

  21. LAOS components – definitions Invited Tutorial, Madrid, Spain April 2008

  22. Domain concept model • Definition 1. An AHS domain mapDM is determined by the tuple <C,L, Att>, • where C: set of concepts, • L: set of links, • Att a set of DM attributes • Definition 2. A domain conceptcDMi. C is defined by <A,C> • where A : set of attrs and C : set of sub-concepts. • Constraint 1.Amin is the minimal set of (standard) attributes required for each concept to have (AAmin). • for sufficient meta-data • if Amin = required standard attributes. Invited Tutorial, Madrid, Spain April 2008

  23. Domain concept model – cont. • Definition range 2.1. A domain concept cC is a composite domain concept if c.C. • Definition range 2.2. A concept cC is an atomic domain concept if c.C=. • Definition 3. A domainlinklL is a tuple <S, E, N, W> with S,E{DMi.ck}i,k (S, E) start and end sets of DM concept instances, respectively; N set of labels of the links; W set of weights of the links. Invited Tutorial, Madrid, Spain April 2008

  24. Domain concept model – cont. • Definition 4. A domain attributeaDMi.C.A is a tuple <type, val>, where • type is the name of the DM attribute; • val is the value (contents) of the DM attribute. • Constraint 2. concept c must be involved at least in one link l. This special relation is called hierarchical link (link to ancestor concept). Exception: root concept. Invited Tutorial, Madrid, Spain April 2008

  25. algebraic operators & respective operations over the model • constructors • create, edit • destructors • delete • visualization or extractors • list, view, check • compositors • repeat • Effects • restructuring (constructors, destructors and any compositors using at least one operator belonging to the previous categories) or • structure neutral (visualization and any compositors applied to visualization alone) Invited Tutorial, Madrid, Spain April 2008

  26. operation & operator Range of operation in DM Description Create & ‘C’ • Input (atomic): optionally object name (text label) of objects such as for DMx,; father concept for c;ids (numerical) of (S, E) and labels, weights for l, ai[h] (with h>Amin) • ·Input (set): as above for sets of objects{cj}+,{lj}+,{ai[h]}+ (with 1hAmin) • ·Output space: DM, C, L, A • ·Output: DMx , {cj}*,{lj}*,{ai[h].type}* ·creates one object such as a concept map, concept, link, a non-standard attribute ·creates sets of objects such as set of new hierarchical child nodes and/ or links connected to the same parent or a full standard attributes set Invited Tutorial, Madrid, Spain April 2008 [1] We assume here that val is defined analogously for CM, c, l.

  27. Edit & ‘E’ ·Input: object ids or expression ·Output: { {DMx, c, l, ai[h]}.type}* edits the object value Delete & ‘D’ ·Input: as the two above together, condition or expression ·Outputspace: DM, C, L, A deletes an object (set) from the corresponding structure or empties the contents Invited Tutorial, Madrid, Spain April 2008

  28. List & ‘L’ ·Input: Any sets from above, optional condition or expression ·Output: interface object lists the objects of the set(s) View & ‘V’ ·Input: (set of) object id-s and mode (e.g., Graph/ Text) ·Output: interface object gives alternative views of the results to the author Check & ‘Ck’ ·Input: (set of) object id-s from DM, C, L, A, checking goal, (and implicitly their value domains) ·Output: interface object checks the checking goal for the selected object and informs about value domain trespasses Repeat & ‘R’ ·Input: Any of above, number of times or other stopping condition ·Output space: same as operation performed Repeats any of the operations above Invited Tutorial, Madrid, Spain April 2008

  29. Goal and constraints model • Definition 5. A constraint conceptgGMi.G in GM is defined by the tuple <GA, G, DMj.c.a> GA is a set of attributes; G a set of sub-concepts; DMj.cC is the ancestor DM concept and DMj.c.aA is an attribute of that concept;GMiisthe name of the GM map instance to whom it belongs. • Definition 6. A constraint linkglL is a tuple <S, E, N, W> with S,E{DMi.ck}i,k (S, E) start and end sets of GM concept instances, respectively; N set of labels of the links; W set of weights of the links. Invited Tutorial, Madrid, Spain April 2008

  30. Atomic operation & operators Range of operation in GM Description Create & ‘C’ ·Input: original concept id in GM and attribute id; optionally object name (text label) of objects such as for GMx, father concept for c;ids (numeric) of (S, E); labels, weightsfor l ·Input: as above for sets of objects{cj}+,{lj}+,{ai[h].var}+ (1h2) ·Output space: GM, G, L, A ·Output: GMx, {cj}*,{lj}*, {ai[h].type}* ·creates object e.g. GM map, concept, link, a non-standard attribute ·creates sets of objects e.g., set of new hierarchical child nodes +/- links to the same parent or a full standard attributes set Edit & ‘E’ ·Input: object ids or expression ·Output: { {GMx, c, l, ai[h]}.val}* edits the object value Delete & ‘D’ ·Input: as the two above together, condition or expression ·Outputspace: GM, G, L, A deletes an object (set) from the corresponding structure or empties the contents Invited Tutorial, Madrid, Spain April 2008

  31. List & ‘L’ ·Input: Any sets from above, optional condition or expression ·Output: interface object lists the objects of the set(s) View & ‘V’ ·Input: (set of) object id-s and mode (e.g., Graph/ Text) ·Output: interface object gives alternative views of the results to the author Check & ‘Ck’ ·Input: (set of) object id-s from GM, G, L, Ac , checking goal, (and implicitly their value domains) ·Output: interface object checks the checking goal for the selected object and informs about value domain trespasses Repeat & ‘R’ ·Input: Any of above, number of times or other stopping condition ·Output space: same as operation performed Repeats any of the operations above Invited Tutorial, Madrid, Spain April 2008

  32. What can LAOS do for you? Invited Tutorial, Madrid, Spain April 2008

  33. Example 1: flexibility indexbetween concept C1 and rest of concepts in DMfor automatic semantic linking in the DM or GM where C = card(DM) and Amin = card(Amin) Invited Tutorial, Madrid, Spain April 2008

  34. Example 2: flexibility degree for selecting attributes from DM concept C1 for GM, considering the order Invited Tutorial, Madrid, Spain April 2008

  35. Future developments LAOS Invited Tutorial, Madrid, Spain April 2008

  36. Further developments LAOS • Operators for each layer (partially done) • Automatic transformations between layers for authoring simplification (done) • Automatic concept linking (done) • Verification work of the different layers (partially done) Invited Tutorial, Madrid, Spain April 2008

  37. LAOS summary • a five level AHS authoring model with a clear cut separation of the processing levels: • 1. the domain model (DM), • 2. the goal and constraint model (GM), • 3. the user model (UM), • 4. the adaptation model (AM) - more LAG following • 5. the presentation model (PM). Invited Tutorial, Madrid, Spain April 2008

  38. Any questions? Invited Tutorial, Madrid, Spain April 2008

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