SIKS research methodology course team photo

See below the brave SIKS students that successfully finished the course Research methods and methodology. The primary goal of this hands-on course is to enable Ph.D. students to make a good research design for their own research project. To this end, it provides an interactive training in various elements of research design, such as the conceptual design and the research planning. But the course also contains a general introduction to the philosophy of science (and particularly to the philosophy of mathematics, computer science and AI). And, it addresses such divergent topics as “the case-study method”, “elementary research methodology for the empirical sciences” and “empirical methods for computer science”.

SIKS team photo

Intake Meeting for Projects Information Retrieval

The IR Projects groups are assigned to the following supervisors. We
scheduled an intake meeting for every group. See below.

Group A: Lucassen, T. and Nijkamp, B.
Supervisor: Djoerd Hiemstra
Intake: Wed 14 Nov. 13.45 u. – 14.15 u. room 3031

Group B: Alofs, T. and Niesink, L.D.J.
Supervisor: Theo Huibers
Intake: Wed 14 Nov. 13.45 u. – 14.15 u. room 2122

Group C: Logtenberg, J.D. and Vliet, W.M. van
Supervisor: Dolf Trieschnigg
Intake: Wed 14 Nov. 13.45 u. – 14.15 u. room 2063

Group D: Dehling, E.E. and Wal, T. van der
Supervisor: Paul van der Vet
Intake: Wed 14 Nov. 13.45 u. – 14.45 u. room 2122

Group E: Klaas, M.H.J. and Maaskant, W.J.
Supervisor: Djoerd Hiemstra
Intake: Wed 14 Nov. 14.15 u. – 14.45 u. room 3031

Group F: and Diephuis, M. and Kanis, Z.
Supervisor: Theo Huibers
Intake: Wed 14 Nov. 14.15 u. – 14.45 u. room 2122

Group G: Pothoven, T. and Sikkema, N.
Supervisor: Dolf Trieschnigg
Intake: Wed 14 Nov. 14.15 u. – 14.45 u. room 2063

Group H: Hofwegen, M.F. van and Sanderman, R.
Supervisor: Paul van der Vet
Intake: Wed 14 Nov. 14.15 u. – 14.45 u. room 2122

Group I: Toure, Y.C. and Weele, J.H.D. ter
Supervisor: Dolf Trieschnigg
Intake: to be scheduled

What is SIGIR?

SIGIR is the Association for Computing Machinery's Special Interest Group on Information Retrieval. The scope of the group's specialty is the theory and application of computers to the acquisition, organization, storage, retrieval and distribution of information; emphasis is placed on working with non-numeric information, ranging from natural language to highly structured data bases.

Conferences
The annual international SIGIR conference series, which began in 1978 (there was an initial SIGIR conference in 1971), is considered one of the most important conferences in the field of information retrieval. The 31st SIGIR conference (SIGIR 2008) took place in Singapore, and next SIGIR conference (SIGIR 2009) will be held in Boston MA, USA. SIGIR also sponsors the annual Joint Conference on Digital Libraries JCDL in association with SIGWEB, the Conference on Information and Knowledge Management CIKM, and in 2008 the International Conference on Web Search and Data Mining WSDM in association with SIGKDD, SIGMOD, and SIGWEB.

Awards
The group gives out several awards to contributions to the field of information retrieval. The most important award is the Gerard Salton Award (named after the computer scientist Gerard Salton), which is awarded every three years to an individual who has made “significant, sustained and continuing contributions to research in information retrieval”.

Written for Wikipedia.

Presentations & Demonstrations GIS for Advanced Database Systems

When: 26 October 2007, 15.45 h. – 17.30 h.
Where: WA-220

Four presentations:

15.45 h. – 16.15 h. : Tools for GIS applications by Tim Klifman & Niels Werensteijn
16.15 h. – 16.35 h. : CSI Twente: Algemeen Delictensysteem by Jonathan Brugge & Eelco Eerenberg
16.35 h. – 16.50 h. : break
16.50 h. – 17.10 h. : Indicating the Shortest Path (in Kalimantan) by Robert Markovics & Pythia Sulistyo
17.10 h. – 17.30 h. : CrisGIS: simulation of crisises on geo data by Tijn van Hofwegen & Jorrit Schippers

NB the first presenters will have about 30 minutes (project A). The others (project B) have about 20 minutes.

[Advanced Databases]: Guest lecture 17 Oct at 10.40 h in WA-204: GIS and Geodatabases by Martin Engels of ESRI

Time and Place of next week's lecture on 17 October is changed to:

WA-204, at 10.40h. – 12.25h.

I would like to ask everyone to be present at the guest lecture. Martin Engels comes all the way from Leiden to talk about GIS. If you are unable to come, please let me know as soon as possile.

Title: GIS and Geodatabases: the ESRI approach
Speaker: Martin Engels, ESRI Netherlands
Room: WA-204
When: Wednesday 17 October 2007, 10:40 h. – 12:25 h.

About ESRI:
ESRI designs and develops the world's leading geographic information system (GIS) technology. GIS is an important tool – one that helps shape the world around us. GIS technology helps fight forest fires, determine new national boundaries during peace negotiations, find promising sites for fast-growing companies, rebuild cities around the world, support optimal land-use planning, route emergency vehicles, monitor rain forest depletion, contain oil spills, and perform countless other vital tasks every day. Today, ESRI has more than 4,000 skilled employees worldwide who work with hundreds of business partners and tens of thousands of users.

[Advanced Databases]: Practicum Advanced Databases over, project already started

I've put the project assignment for Advanced Database Systems on TeleTOP. Please send me as soon as possible the following information: 1) what project you plan to do (A or B), and 2) the name of the person you want to cooperate with.
Please note that the deadline for handing in the practicum assignment was last week: 25 September. If you have not handed in practicum results, and you want to keep on following the course, please do so today.

The Effectiveness of Concept Based Search for Video Retrieval

by Claudia Hauff and Robin Aly and Djoerd Hiemstra

In this paper we investigate how a small number of high-level concepts derived for video shots, such as Sports, Face, Indoor, etc., can be used effectively for ad hoc search in video material. We will answer the following questions: 1) Can we automatically construct concept queries from ordinary text queries? 2) What is the best way to combine evidence from single concept detectors into final search results? We evaluated algorithms for automatic concept query formulation usingWordNet based concept extraction, and we evaluated algorithms for fast, on-line combination of concepts. Experimental results on data from the TREC Video 2005 workshop and 25 test users show the following. 1) Automatic query formulation through WordNet based concept extraction can achieve comparable results to user created query concepts and 2) Combination methods that take neighboring shots into account

[download pdf]