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MULTILINGUAL AND MULTIFACETED INTERACTIVE INFORMATION ACCESS (MU)2MI2A ~ MUMIA COST ACTION IC1002
Michail (Mike) SALAMPASIS Associate Professor
Department of Informatics
Alexander Technological Educational Institute of Thessaloniki
7 April 2011
Outline
Next Generation Search
The MUMIA COST action
Disciplines involved, inherently interdisciplinary
Patent search as a unifying test bed
A framework to design interactive search systems based
on the idea of Coordinated Federated Search (CFS)
How it does relate to UX design and evaluation?
Conclusion
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New Trends in Information Access Next Decade Presents Many New Grand Challenges
the dynamics of Web 2.0+ data being produced
distributed sources of multilingual content
Semantic Search over large scale dynamic repositories
Social Search
Important Search Applications (e.g. e-Commerce, Education)
requiring new types of interactive search (e.g. Exploratory,
Faceted Search)
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What is also new?
There also new Demands
More sophisticated user needs requiring more complex systems
Many types of search are difficult to satisfy with today’s search
systems
Large volumes of information which often require visualization of
their interrelationships to make them usable and useful
... and Technology Pushes
Powerful Processing Infrastructures
Technologies Enabling Multi modal search and access systems
Scalable Visualization Solutions (e.g. Power Walls)
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Conclusion so far…
Search Technology Has produced significant results empowering users
to search relevant information in terabytes of data. Current search engines is one of the greatest
successes of the past decade. Next Generation Search
Exciting developments bring the digital society into a situation in which the availability and complexity of the information and its possible interrelations outstrips the capability of current search systems.
Multilingual and Multifaceted Interactive Information Access
Aims to launch a much needed initiative for the
collaboration between the multiple disciplines involved in
next generation search
Play a role in the definition for next generation search
Foster Research and Technology Transfer
Uses innovative framework to empower the synergies from
the disparate research fields
Uses Patent Search as the unifying test bed for
interdisciplinary research interaction
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Related Disciplines
Machine Translation (MT) Integrating and Managing Language Resources, Information
Extraction (IE)
Information Retrieval (IR) Distributed IR, Social Search, Semantic Search
Multifaceted Interactive Information Access (MIIA) User Aspects of Information Access, Visualization
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Patent Search
The patent search problem is highly representative of
tomorrow's search.
Multilingual, Multiple Sources Distributed all over the
Internet
High value documents (organized in hierarchies,
structured, interlinked)
Different types of information needs not very common in
everyday search
Need for multiple search tools and UIs
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© Magister Ltd., 20079
Search report
Classification(s)
Applicant(s)
Inventor(s)
Designated State(s)
Publication Number
Priority detail(s)
Abstract
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Who searches patents, and why? Patent offices
to determine whether they can legally grant a patent
The courts (or agents acting on behalf of the courts) during litigation
Business analysts/ investment brokers as one metric for company valuation
International research bodies e.g. OECD “innovation league tables”
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Who searches patents, and why? (II)
Corporate R&D as a source for problem-solving to check whether it is worthwhile moving
into a new technical area to determine whether their “new invention”
is actually new, and patentable to avoid infringing other people’s patents to try to invalidate other people’s patents etc.
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Various user needs, various tasks Different searches require different criteria,
hence indicating different sources to use: A simple search classification
Novelty (patentability) Infringement (freedom of action, freedom to
operate) Validity & opposition State-of-the-art Alerting (current awareness) Citation Technology Landscape
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Why this Action ?
There are many research groups already working on MUMIA key challenges.
Unfortunately, the extent of interaction between these highly talented scientists has been limited because no unifying network is in operation to help guide and harmonise their work.
There is a significant lack of awareness of how particular groups of knowledge workers conduct sophisticated information seeking tasks
Benefits of the proposed Action Innovation in the process of developing next generation
search systems
Networking between disparate disciplines to solve a
highly interdisciplinary problem.
Bridging research and information based industry.
MUMIA as a flagship for European scientific excellence
while moving to next generation search.
Training and Educating Young Researchers in the
emerging field of MUMIA.
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Relation to UX design A “representative” architecture of an imaginary Next Generation Search System
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Relation to UX design
More complex search systems require careful design of
how the users will interact as this will affect their overall
experience
UX design needs to satisfy user needs that will carry out
tasks that are becoming progressively more complicated
and cross language and using various media
16
Relation to UX evaluation
Some Facts IR and MT are two long-standing computer science
disciplines with rigorous evaluation methodologies.
IR evaluation methodologies are system centered build
around the classic Cranfield paradigm, such as TREC and
CLEF.
IR evaluation methods are mostly based on the use of
dichotomous relevance judgements in IR experiments.
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Relation to UX evaluation
User-centred evaluation strategies are also used (i.e. user studies,
usability measurements, etc.) but not very often. Most of the
times they use performance metrics such Recall and Precision as a
measurement of attaining an objective or information need.
Measures and methods are required to compute the cumulative
gain the user obtains by using a
sub-system/component/widget within an integrated search
system
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Relation to UX evaluation19
foster the adoption of regular experimental
evaluation activities for new interaction styles
bring automation into the experimental evaluation
process
promote collaboration and re-use in evaluation
activities in the same way the Cranfield paradigm
has achieved the last 30 years