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NLUS 1st Workshop, HTW Chur
12.11.2014 Dr. Ina Blümel, TIB & HS Hannover
About me • I am an architect
– Working on public building design and planning of technical faciliJes, databases for structural components
• I work at a library – German NaJonal Library of Science and Technology, developing services for architects: Content based indexing, auto classificaJon, Projects DFG, EU. OSL eputy head
• I am an informa0on scien0st – AcJng Professor for e-‐Science, SemanJc Web and current trends in InformaJon Management at Hannover University of Applied Sciences. PhD: Metadata for arch. models, Linked Data
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ARCHITECTURE, LIBRARY AND INFORMATION SCIENCE
Some Topics & Trends
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Challenges for Libraries
• Increasing informaJon volume
• New data / media formats, e.g. 3D models
• Document aggregaJons, enhanced publicaJons, increasingly hybrid, need for data exploraJon
• WWW: extending search space (instead catalog silos), affecJng scienJfic communicaJon and publicaJon (eScience)
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-‐ Facing the 21st Century
13.11.14 NLUS 1st Workshop, HTW Chur Dr. Ina Blümel, TIB & HS Hannover
NLUS Topics: relaJon of actors/things
• Library services for architects?
• Library architecture? (usage, „3rd place“, organisaJon of spaces and services)
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Architect
Library space
Library service
EXPLORING ARCHITECTURE
Access to 3D document aggregaJons: ContextualizaJon enabling exploraJve search Taking informa0on to users, understanding users‘ needs
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ExploraJon
• Objects • Places • Actors • Events • Concepts
• Aggregated documents • Contained data
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The Amazing Human Mind
-‐ Form / geometry -‐ FuncJon -‐ Material -‐ Usage / purpose -‐ …
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ExploraJve search and browsing must try to face and tackle the challenges posed by the brain – Human minds are able to link 1) everything, 2) everywhere, and in 3) any Jme period
…chain of associa+ons between
Sources: LU Hannover (AIDA), Bundesarchiv
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Graph based modeling
• Using • RDF/RDFS • SKOS, DC, DCterms, FOAF • FRBRoo/CIDOC-‐CRM,
alternaJve EDM • + few arch.-‐related
datasets
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Towards mapping human associaJons
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Some notes
• ConnecJng architects, buildings, places, .. • Without language barrier • Linked Open Data • Re-‐usable in any applicaJon • (VIVO) • HarvesJng from privatly curated web pages
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Similarity
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• Similarity as key point for the generaJon of suggesJons • Cannot be considered isolated from context, more simply: "Similarly, with
respect to which aspects?“ • different similarity contexts may lead to completely different suggesJons
Open quesJons
ClassificaJon might use AAT Geny Vocabulary, DBPedia Ontology and/or Wikidata ..
Significance (at certain place)
Style
Func+on
taken from project proposal Blümel, Wessel, Klein, 2013. Image sources: flickr, Wikipedia
Shankar S., CC BY 2.0
michael pollak CC BY 2.0 Frank Mago CC BY 2.0
J-‐Cornelius K. CC BY 2.0
m.a.r.c.CC BY 2.0
Eddy Van CC BY 2.0
Arranto CC BY 2.0
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Research QuesJon
Some notes
• Library as part of the informaJon ecosystem • Providing vocabularies to classify informaJon
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DESCRIPTIVE OR PRESCRIPTIVE MODELS REQUIRE DIFFERENT CONTEXT
#model
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3D models in architecture
tradiJonell: analoge 2D Zeichnung / Modellbauarbeit
~ seit 30 Jahren: 2D CAD
heute: 3D CAD Building InformaJon Modeling (BIM)
Vom Zeichenbre> zum digitalen 3D-‐Modell…
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• ReconstrucJon
• PreservaJon of the real
• InformaJon integraJon
• Re-‐contextualizaJon
• InteracJve experienceability
• Access at any Jme from any locaJon
DescripJve digital 3D models
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Sources: LU Hannover (IKG), 3D COFORM
DocumenJng present (and history) in a rapidly changing world
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PrescripJve digital 3D models
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• GeneraJon of design visualizaJons • GeneraJon of data for calculaJon • Rapid Prototyping, e.g. 3D-‐
Makerspaces in libraries • Open issue: closing and
smoothing surfaces
• ProducJon of building parts
Sources: LU Hannover (AIDA), Graphisou, UN Studio
Shape and structure of things to come
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Research QuesJon
ENRICHMENT WITH METADATA OF DIFFERENT SEMANTIC LEVELS: DATA-‐ AND DOMAIN-‐SPECIFIC EXTRACTION METHODS
#content
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What‘s inside?
§ no explicitly available informaJon (few well defined enJJes like in textual data) à need for metadata, but
§ poor metadata annotaJon available, therefore à Need for indexing and classificaJon algorithms • (tailored to domain data and community requirements)
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opened in CAD editor… Machine view: definiJon of verJces / faces, no semanJcs
13.11.14 NLUS 1st Workshop, HTW Chur Dr. Ina Blümel, TIB & HS Hannover
Research QuesJon
Digging for semanJcs
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AutomaJc cuwng into floors, extracJon of room strucure
¨ Technical + content based metadata ¤ Total number of floors à building type ¤ Amount of windows, doors, … ¤ Floor area ¤ …
ExtracJng implicit informaJon in model structure
RepresentaJon as anributed graph: rooms as nodes, connecJon as edges
PROBADO 3D joint research with University of Bonn
13.11.14 NLUS 1st Workshop, HTW Chur Dr. Ina Blümel, TIB & HS Hannover
Digging for semanJcs 2.0
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¨ AutomaJc extracJon of „high level“metadata ¤ ClassificaJon of Structures (floor plans)
¤ ClassificaJon of shapes (Schemes according to Form or FuncJon)
The Machine as a Cataloging Librarian
…for labeling/tagging PROBADO 3D joint research with University of Bonn
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OPEN ISSUES
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• 3D makerspaces. Problem of surfaces
• Open Data in architecture? • Plaxorms, data sharing, trends
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More challenges + discussion • Need for improving coherence and alignment of existing (domain
related) ontologies towards a unified knowledge graph • Need for reliable information about content, provenance,
availability, data types contained in or temporal evolution of distributed datasets
à Role for Libraries: curation of dataset catalogs containing
meaningful metadata about domain related datasets (independent of their original intention) – Facilitate selection of schemes for auto classification to gradually
enrich models with semantics Some tasks go bener with crowdsourcing or NER of textual context – let’s combine!
– Enabling humans to explore suitable data
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§ Relations between entities that are relevant to the information object
§ allow exploratory search , browsing and search suggestions.
Searching
• User knows neither object nor desired informaJon exactly • .. does not know necessary query for the so-‐called "known-‐item“ • Request cannot be formulated exact, only fuzzy
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„Nobody understands me :(“
"I remember my mom telling me that her grand-‐grand ma once went to this nice place in Europe to visit the world's fair. People spoke French and she saw this huge tower made of steel. Mom told me the name of the architect, but I can't remember it." à Suitable search query?
13.11.14 NLUS 1st Workshop, HTW Chur Dr. Ina Blümel, TIB & HS Hannover