Information Storage Analysis & Retrieval group .

Information StorageAnalysis & Retrieval group

www.rmit.edu.au/compsci/infostorage

Research Focus•Web search and text information retrieval

•Data mining & machine learning

•XML & Image/Video search

•Music retrieval

•Search effectiveness

•Efficiency

RMIT University©2011 CS&IT - ISAR 2

Applications•Our in-house search engine is Zettair

–The fastest open source search engine in the world…

–…and one of the most highly effective.

•Organizing international evaluation campaigns on search of–web services–Wikipedia–web pages

RMIT University©2011 CS&IT - ISAR 3

Research staff & collaborations

•Research staff–Shane Culpepper, Simon Puglisi, Mark Sanderson, Falk Scholer, Jamie Thom, Sandra Uitdenbogerd, Jenny Zhang

•Collaborations–Companies

–Sensis, Viocorp, Funnelback, Circus Oz

–Academia–UMass Amherst, QUT, Macquarie University, University of Chile, University of Sheffield

RMIT University©2011 CS&IT - ISAR 4

RMIT University©2011 CS&IT - ISAR 5

Data Mining

sentiment analysis

bioinformatics

text mining

machine learning

–Efficient pattern discovery algorithms–Effective and novel learning models

Jenny Zhang

Algorithms for Massive Data

RMIT University©2011 CS&IT - ISAR 6

Research Strengths:

Space Efficient Data Structures Data Compression Text Processing and Indexing Natural Language Processing Distributed / Parallel Programming

Shane Culpepper

Possible Student Projects: Algorithms for Real-time Search Machine Driven Search Data Compression Algorithms Data Streaming Algorithms Persistent and Parallel Data Structures

Language Independent Text Indexing IR Applications of Self-Indexes Applying NLP in Information Retrieval

Applications of Metadata and Multimedia Retrieval

•Accounting for SustainabilityRepresenting and querying knowledge about sustainability indicators using XML, RDF, OWL, SPARQL

•The Circus Oz Living ArchiveCombination of– content based image and video retrieval

– tagging of video

RMIT University©2011 CS&IT - ISAR 7

James Thom

Social Information Search

Mark Sanderson

•Search interfaces and result presentation

•Measurement of performance

•User-based evaluation – what is a “useful” answer?

•Effective summarisation of documents

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

Precision

Recall

Search Effectiveness

RMIT University©2011 CS&IT - ISAR 9

Mark Sanderson, Audrey Tam, Falk Scholer