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

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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