Preface	
  
	
  
Dynamically	
  generated	
  hypertext	
  adapted	
  and	
  personalized	
  to	
  the	
  users’	
  needs	
  and	
  abilities	
  has	
  
proven	
   to	
   be	
   a	
   very	
  successful	
   technique	
   over	
   the	
   last	
   decade	
   and	
   a	
   half.	
   It	
   is	
   particularly	
   helpful	
  
for	
  reducing	
  the	
  information	
  overload	
  that	
  frequently	
  occurs	
  in	
  the	
  modern	
  information-­‐driven	
  
world.	
   Adaptive	
   hypertext	
   is	
   equally	
   effective	
   for	
   accessing	
   many	
   types	
   of	
   items,	
   be	
   it	
   news,	
  
products,	
   artifacts	
   or	
   descriptions	
   thereof	
   in	
   electronic	
   shops,	
   libraries	
   or	
   museums,	
   or	
   even	
  
learning	
  materials.	
  
Architecture	
  and	
  framework	
  building	
  efforts	
  allow	
  hypertext	
  community	
  to	
  lay	
  the	
  foundations	
  
for	
   the	
   creation	
   of	
   generic	
   system	
   reference	
   models	
   that	
   spawn	
   research	
   activities	
   in	
   multiple	
  
domains.	
   Examples	
   of	
   such	
   generic	
   models	
   are	
   AHAM	
   for	
   adaptive	
   hypermedia	
   and	
   FOHM	
   for	
  
open	
   hypermedia	
   as	
   well	
   as	
   the	
   APeLS	
   and	
   Personal	
   Reader	
   frameworks	
   for	
   service-­‐based	
  
adaptive	
  hypermedia.	
  
Rapid	
   expansion	
   of	
   hypertext,	
   web-­‐based	
   systems,	
   and	
   adaptive	
   hypermedia	
   resulted	
   in	
   the	
  
emergence	
   of	
   a	
   plethora	
   of	
   new	
   terms,	
   conceptual	
   models,	
   and	
   prototype	
   systems.	
   Classical	
  
hypermedia	
  models	
  are	
  no	
  longer	
  capable	
  of	
  capturing	
  phenomena	
  that	
  evolve	
  in	
  the	
  Social	
  and	
  
Semantic	
   Web.	
   In	
   particular,	
   open	
   corpus	
   adaptation,	
   ontologies,	
   group	
   adaptation,	
   and	
   data	
  
mining	
  tools	
  for	
  adaptation	
  are	
  not	
  supported	
  or	
  supported	
  in	
  a	
  limited	
  fashion.	
  
The	
   DAH'11	
   workshop	
   was	
   organized	
   in	
   conjunction	
   with	
   the	
   22th	
   ACM	
   International	
  
Conference	
   on	
   Hypertext	
   and	
   Hypermedia	
   and	
   held	
   on	
   June	
   6,	
   2011,	
   in	
   Eindhoven,	
   the	
  
Netherlands.	
  It	
  builds	
  on	
  the	
  success	
  of	
  DAH’09	
  at	
  Hypertext’09	
  and	
  WABBWUAS’10	
  workshop	
  at	
  
UMAP	
   2010.	
   The	
   workshop	
   provided	
   a	
   focused	
   international	
   forum	
   for	
   researchers	
   to	
   present,	
  
discuss	
   and	
   explore	
   the	
   state	
   of	
   the	
   art	
   as	
   well	
   as	
   outline	
   promising	
   future	
   research	
   directions	
   of	
  
dynamic	
   and	
   adaptive	
   hypertext.	
   The	
   workshop	
   addressed	
   different	
   aspects	
   of	
   dynamic	
   and	
  
adaptive	
  hypertext	
  by	
  focusing	
  on	
  generic	
  frameworks,	
  approaches	
  and	
  techniques	
  and	
  ways	
  of	
  
reusing	
   novel	
   models	
   and/or	
   existing	
   system	
   and	
   their	
   components	
   for	
   building	
   adaptive	
  
hypermedia	
   systems.	
   The	
   DAH’11	
   workshop	
   therefore	
   covered	
   the	
   following	
   (non-­‐exhaustive)	
  
list	
  of	
  topics:	
  
        § Adaptation	
  and	
  personalization	
  
                         o open-­‐corpus	
  adaptation	
  
                         o group	
  adaptation	
  
                         o sharing	
  user	
  models	
  
        § Adaptive/Dynamic	
  Hypertext	
  authoring	
  
                         o authoring	
  conceptual	
  adaptation	
  models	
  
        § Data	
  mining	
  for	
  
                         o user	
  modeling	
  
                         o domain	
  modeling	
  
                         o automatic	
  generation	
  of	
  adaptation	
  rules	
  
        § Adaptation	
  frameworks	
  
                         o reusing	
  adaptation	
  reasoning	
  and	
  techniques	
  
                         o evaluation	
  of	
  frameworks	
  
                         o scalability	
  and	
  performance	
  issues	
  
	
  
The	
   DAH’11	
   proceedings	
   include	
   six	
   accepted	
   contributions	
   that	
   were	
   presented	
   at	
   the	
  
workshop.	
  
	
  
The	
  first	
  paper	
  by	
  Hannon	
  et	
  al.	
  “Bridging	
  Recommendation	
  and	
  Adaptation:	
  Generic	
  Adaptation	
  
Framework	
   -­‐	
   Twittomender	
   compliance	
   case-­‐study”	
   discusses	
   Recommender	
   System	
   (RS)	
  
modeling	
  in	
  terms	
  of	
  Adaptive	
  Hypermedia	
  Systems	
  (AHS).	
  The	
  authors	
  investigate	
  AHS	
  and	
  RS	
  
functionality	
   compliance	
   in	
   terms	
   of	
   common	
   features,	
   functionality,	
   building	
   blocks	
   and	
  
composition	
   of	
   the	
   system	
   and	
   bring	
   up	
   complementary	
   aspects	
   of	
   adaptation,	
   personalization	
  
and	
  recommendation	
  in	
  a	
  context	
  of	
  a	
  generic	
  framework.	
  As	
  a	
  case	
  study	
  of	
  their	
  research	
  the	
  
authors	
  scrutinize	
  the	
  ‘Twittomender’	
  RS,	
  decompose	
  it	
  in	
  building	
  blocks,	
  outline	
  and	
  highlight	
  
its	
  properties	
  along	
  with	
  the	
  advantages	
  and	
  possible	
  enhancements	
  of	
  the	
  system.	
  
	
  
Celik	
   et	
  al.	
   present	
   their	
   work	
   entitled	
   “Towards	
   a	
   Framework	
   for	
   Adaptive	
   Faceted	
   Search	
   on	
  
Twitter”	
  and	
  propose	
  strategies	
  for	
  inferring	
  facets	
  and	
  facet	
  values	
  on	
  Twitter	
  by	
  enriching	
  the	
  
semantics	
   of	
   individual	
   Twitter	
   messages.	
   The	
   paper	
   presents	
   different	
   methods,	
   including	
  
personalized	
  and	
  context-­‐adaptive	
  methods,	
  for	
  making	
  faceted	
  search	
  on	
  Twitter	
  more	
  effective.	
  
The	
  authors	
  also	
  conduct	
  a	
  preliminary	
  analysis	
  that	
  shows	
  that	
  semantic	
  enrichment	
  of	
  tweets	
  
is	
   essential	
   for	
   faceted	
   search	
   on	
   Twitter	
   and	
   that	
   there	
   is	
   essential	
   need	
   for	
   adaptive	
   faceted	
  
search	
  on	
  Twitter	
  and	
  finally	
  propose	
  an	
  evaluation	
  methodology.
	
  
Grishchenko	
   et	
   al.	
   in	
   “Referencing	
   within	
   evolving	
   hypertext”	
   introduce	
   a	
   minimalistic	
   but	
  
powerful	
   query	
   language	
   of	
   specifiers	
   that	
   allows	
   for	
   great	
   flexibility	
   in	
   referencing	
   within	
   a	
  
changing	
   hypertext.	
   This	
   helps	
   to	
   capture	
   the	
   state	
   of	
   the	
   hypertext,	
   point	
   at	
   changes,	
   expose	
  
authorship	
  or	
  blend	
  branches	
  of	
  the	
  versioned	
  hypertext	
  structures.	
  Their	
  approach	
  is	
  based	
  on	
  
the	
  Casual	
  Tree	
  model.	
  
	
  
The	
  paper	
  by	
  Zemirline	
  et	
  al.	
  “A	
  set	
  of	
  adaptation	
  patterns	
  for	
  expressing	
  adaptive	
  navigation	
  in	
  
Adaptive	
   Hypermedia”	
   presents	
   a	
   set	
   of	
   22	
   adaptation	
   patterns	
   which	
   are	
   independent	
   of	
   any	
  
application	
   domain	
   and	
   adaptation	
   engines.	
   These	
   patterns	
   have	
   been	
   translated	
   to	
   LAG	
   and	
  
GLAM	
   adaptation	
   languages	
   in	
   order	
   to	
   plug	
   them	
   on	
   existing	
   adaptation	
   engines.	
   Currently	
   they	
  
are	
  used	
  in	
  the	
  so-­‐called	
  EAP	
  framework	
  to	
  define	
  complex	
  adaptation	
  strategies.	
  
	
  
Knutov	
   et	
   al.	
   in	
   “Adaptive	
   Hypermedia	
   Systems	
   Analysis	
   Approach	
   by	
   Means	
   of	
   the	
   GAF	
  
Framework”	
  consider	
  an	
  analysis	
  approach	
  of	
  AHS	
  composition	
  and	
  design	
  by	
  defining	
  building	
  
blocks’	
  interfaces	
  and	
  presenting	
  corresponding	
  dependencies	
  by	
  means	
  of	
  the	
  GAF	
  framework,	
  
which	
   helps	
   to	
   identify	
   system	
   design	
   guidelines	
   and	
   and	
   facilitates	
   the	
   creation	
   of	
   adaptive	
  
systems	
   from	
   scratch.	
   In	
   their	
   paper	
   authors	
   analyze	
   adaptive	
   system	
   behaviour,	
   architecture	
  
and	
  risks	
  involved.	
  

In	
   the	
   last	
   paper	
   “Open	
   Corpus	
   Adaptation++	
   in	
   GALE:	
   Friend	
   or	
   Foe?”	
   by	
   Smits	
   and	
   De	
   Bra	
   raise	
  
a	
   discussion	
   about	
   Open	
   Corpus	
   Adaptation.	
   They	
   describe	
   how	
   their	
   GALE	
   engine	
  
implementation	
   achieves	
   Open	
   Corpus	
   adaptation	
   functionality	
   and	
   pose	
   the	
   question	
   whether	
  
this	
   is	
   actually	
   a	
   desired	
   feature	
   or	
   potentially	
   a	
   dangerous	
   addition	
   with	
   unintended	
  
consequences.	
  
	
  
We	
   would	
   like	
   to	
   thank	
   the	
   authors	
   for	
   their	
   interest	
   in	
   the	
   workshop	
   and	
   for	
   submitting	
   their	
  
contributions.	
  And	
  we	
  thank	
  the	
  PC	
  members	
  for	
  their	
  help	
  in	
  reviewing	
  the	
  submitted	
  papers.	
  
	
  
	
  
Mykola	
  Pechenizkiy	
  
Evgeny	
  Knutov	
  
Michael	
  Yudelson	
  
Fabian	
  Abel	
  
Eelco	
  Herder	
  
Geert-­‐Jan	
  Houben	
  
	
  
DAH’11	
  Organizing	
  Committee,	
  June	
  2011	
  
	
  
	
                                                       	
  
	
  
Organization	
  
DAH	
   2011	
   is	
   co-­‐located	
   with	
   the	
   22nd	
   International	
   Conference	
   on	
   Hypertext	
   and	
   Hypermedia	
  
(HT)	
  2011,	
  Eindhoven,	
  The	
  Netherlands.	
  
	
  
Organizing	
  Committee	
  
Mykola	
  Pechenizkiy	
  
Evgeny	
  Knutov	
  
Michael	
  Yudelson	
  
Fabian	
  Abel	
  
Eelco	
  Herder	
  
Geert-­‐Jan	
  Houben	
  
	
  
Program	
  Committee	
  
Paul,	
  De	
  Bra	
  (Eindhoven	
  University	
  of	
  Technology,	
  the	
  Netherlands)	
  
Kevin	
  Koidl	
  (Trinity	
  College	
  Dublin,	
  Ireland)	
  
Ben	
  Steichen	
  (Trinity	
  College	
  Dublin,	
  Ireland)	
  
Ian	
  O'Keeffe	
  (Trinity	
  College	
  Dublin,	
  Ireland)	
  
Riccardo	
  Mazza	
  (SUPSI,	
  University	
  of	
  Lugano,	
  Switzerland)	
  
Tsvi	
  Kuflik	
  (Haifa	
  University,	
  Israel)	
  
Daniel	
  Krause	
  (Leibniz	
  Universität	
  Hannover,	
  Germany)