Oplysninger om millioner af el-kunders adfærd skal være med til at flytte en større del af europæernes samlede strømforbrug over på vedvarende energikilder. Dataloger fra Aalborg Universitet skal sammen med internationale samarbejdspartnere holde styr på de enorme mængder data i et nyt stort EU-støttet projekt med navnet MIRACLE. Mere information her.

Daisy afholder et kursus i objekt-orienteret programmering for industrielle programmører.

Kurset henvender sig til erfarne imperative programmører der ønsker at blive "opgraderet" til at kunne programmere objekt-orienteret. Mere information om kurset her (link til oop.php)

Kurset afholdes i regi af projektet Daisy Innovation.

Deltagelse er gratis, men kun for partnere i projektet. Se mere om partnerskab her.

In the Department of Computer Science at Aalborg University, Denmark, a number of assistant professor positions are available. Applicants are sought within all the department's research areas.

The database research faculty in Center for Data-Intensive Systems, Daisy, primarily conduct research in the areas temporal and spatio-temporal databases, mobile services, data warehousing, and business intelligence. According to a recent international evaluation, the research performance places Daisy among the world leaders in its core areas.

Additional information:

Assistant professor: http://stillinger.aau.dk/vis.php?nr=4969
Firm deadline: March 1, 2010

Please read the announcements carefully and follow the instructions there. Note that electronic applications are NOT accepted.

The department offers office and computing facilities, secretarial support, and substantial support for travel. The teaching load is relatively low: typically at most 30 lectures per year, in addition to project supervision. The area features relatively low cost of living, clean air, beautiful forests and beaches, and very good transportation infrastructure.

The department: http://www.cs.aau.dk
Daisy: http://daisy.aau.dk

For further information, contact:
Torben Bach Pedersen (tbp "-at-"cs.aau.dk) or Christian S. Jensen (csj "-at-" cs.aau.dk).

Daisy aims to fill two Ph.D. positions. Daisy offers excellent salaries for Ph.D. positions. Daisy is well integrated into the global research community.

Time: Monday 30th November, 14:30 - 16:30
Place: Aalborg University, Selma Lagerløfs vej 300, room 02.90

Abstract:
Community Question Answering (CQA) services are Internet services that enable users to ask and answer questions, as well as to search through historical question-answer pairs. Examples of such community-driven knowledge market services include Yahoo! Answers (answers.yahoo.com), WikiAnswers(wiki.answers.com), etc. This talk will cover the following essential tasks to build a community-based question-answer system.

1. Extracting Question answering knowledge from online forums, Wikipedia etc.
2. Finding expert users from the community for a new question such that they have knowledge about the question.
3. Finding relevant questions and thus answers for a query question.
4. Classifying questions into a hierarchy of taxonomies (categories)

This talk will introduce some data mining techniques (including sequential pattern mining, classification methods) and information retrieval techniques (popular retrieval models, such as vector space model, language model, and machine translation model) to solve the aforementioned tasks.

Time: Monday 16th November, 14:30
Place: Aalborg University, Selma Lagerløfs vej 300, room 02.90

Abstract:
Recent advances in positioning and tracking technologies lead to the emergence of novel location-based services (LBS) that allow service providers and users to access spatio-temporal information. For example, an application could use location information to notify a user about traffic disruptions in his/her route, or when one of his/her friends is nearby. However, in some cases this information needs to be protected from unauthorized parties (e.g. a user may want to hide his/her position when located in a sensitive area such as a hospital). The protection of the privacy of the user and the confidentiality of this information is essential in these cases.

In this lecture we will present some approaches to preserve the privacy of the users in LBS, as well as discussing their applicability in actual services. First, we will describe some of the most popular LBSs, like georeferenced social networks, and how they deal with users' privacy concerns. Then, we will study the basic concepts in the privacy field, as well as existing research solutions. For a case study, we will focus on a privacy-aware friend-finder service. Finally, we will evaluate the requirements, conditions and new challenges to be addressed when deploying these solutions in a real-world scenario.

Click here to get more information about the seminar (in danish).

Time: Tuesday 17th November 2009, 10:00-11:00
Place: Aalborg University, Selma Lagerløfs vej 300, room 02.13

Abstract:
Skyline and top-k queries have received considerable attention in database research lately. A challenging problem is to efficiently compute such queries in non-centralized domains, such as widely distributed systems or parallel architectures.
In this talk, I will present some solutions to this problem, exploiting as key observation that there exists an inherent relationship between skyline queries and top-k queries, as the skyline set contains all objects for any top-1 monotone function. In the first part of the talk, I will present the SPEERTO framework for top-k query processing in large-scale super-peer networks, under the assumption of horizontal data distribution over the peers. Relying on a thresholding scheme, SPEERTO returns the exact results progressively to the user, while the number of queried super-peers and transferred data is minimized. In the second part of the talk, I will focus on skyline computation in a parallel shared-nothing architecture. A novel data partitioning scheme will be presented for splitting data objects to servers, which greatly improves the performance of each server by dividing the workload fairly over the participating servers. By discussing the experimental results, the efficiency of the proposed partitioning scheme will be demonstrated.

Short bio:
Christos Doulkeridis is a post-doctoral researcher under an "Alain Bensoussan" fellowship in the Norwegian University of Science and Technology (NTNU) in the group of professor Kjetil Noervaag. In 2007 he received his PhD entitled "Organizing and Searching Data in Unstructured P2P Networks" in the Department of Informatics, Athens University of Economics and Business (AUEB), under the supervision of associate professor Michalis Vazirgiannis. Prior to this, he received a Master of Science in Information Systems at the Athens University of Economics and Business (AUEB, 2003) and a Diploma from the department of Electrical Engineering at the National Technical University of Athens (NTUA, 2001). His research interests include data management in peer-to-peer systems, distributed knowledge discovery, mobile and context-aware computing, web services and semi-structured data.

Time: Tuesday 17th November 2009, 14:00-15:00
Place: Aalborg University, Selma Lagerløfs vej 300, room 02.13

Abstract:
Rank-aware query processing has attracted much interest lately, as users are often overwhelmed by the size of query results. Therefore, ranked queries help users to identify a limited set of the most interesting or representative results, thereby enabling effective decision-making. In this talk, we will focus on two types of queries, namely skyline queries and reverse top-k queries.

Skyline queries have been proposed for discovering a set of interesting points. Unfortunately, as the dimensionality of the dataset grows, the skyline operator loses its discriminating power and returns a large fraction of the data. In this talk, I will present several interesting properties of the skyline points that lead to discovering the most important skyline points, and therefore to a ranking method of skyline points. On the other hand, top-k queries retrieve only the k objects that best match the user preferences, thus avoiding huge and overwhelming result sets. Top-k queries have been mainly studied from the perspective of the user. In this talk, I will present a novel query type, namely reverse top-k queries, that handles top-k queries from the perspective of the product manufacturer, by providing answers to questions like: "Given a potential product, which are the user preferences for which this product is in the top-k query result set"?

Short bio:
Akrivi Vlachou is currently a researcher in the database group of Prof.Kjetil Noervaag at the Norwegian University of Science and Technology. She has been awarded an ERCIM “Alain Bensoussan” fellowship for post-doctoral studies in 2009. She received her PhD in 2008 entitled "Efficient Query Processing over Highly Distributed Data" from the Athens University of Economics and Business supervised by Prof.Michalis Vazirgiannis. She received her Master of science in "Advanced Information Systems" and her Diploma in “Computer Science and Telecommunications” from the Department of Computer Science, University of Athens in 2001 and 2003 respectively. Her research interests lie in query processing and data management in large-scale distributed systems.

Time: Monday 2nd November 2009, 13:00
Place: Aalborg University, Selma Lagerløfs vej 300, room 02.12

In partial fulfillment of the terms for obtaining the Ph.D.-degree, Dalia Tiešyte will give a lecture on the following subject:
"GPS Data Management with Applications in Collective Transport"

Abstract:
A number of applications in areas such as logistics, postal services, cargo delivery, and collective transport involve the management of fleets of vehicles that are expected to travel along known routes according to either fixed or flexible schedules. With the spread of centralized, real-time position tracking of vehicles, transport-related systems are now able to provide up-to-date journey-related information to a variety of users, as well as store the position-related data for further analysis.

Due to road construction, accidents, and other unanticipated conditions, the vehicles' travel times deviate from the expected schedules. At the same time, there is a need for the infrastructure surrounding the vehicles to continually know the actual status of the vehicles. For example, anticipated arrival times of buses may have to be displayed at bus stops. It is a fundamental challenge to maintain this type of knowledge with minimal cost, and to provide the real-time information to the interested parties, such as managers of the systems, and the clients or passengers.

Extensive empirical evaluation of the proposed, as well as existing, methods is performed using both generated and real data. The real data was collected from public buses in Denmark using the GPS system. The thesis includes extensive empirical analyses of this bus trajectory data and evaluations of various prediction algorithms using this data. We show, that the prediction problem is highly data-dependent. Differently from the existing prediction methods, we aim to generalize the problem, and to allow adaptation to the data and context.

Members of the assessment committee are Associate Professor Vladimir I. Zadorozhny, University of Pittsburgh, USA, Associate Professor Yannis Theodoridis, University of Piraeus, Greece, and Associate Professor Simonas Šaltenis (Chairman). Professor Christian S. Jensen is Dalia Tiešyte's advisor.

All interested parties are welcome. After the defense the department will be hosting a small reception in cluster 3.

Time: Friday 25th September 2009, 13:00
Place: Aalborg University, Selma Lagerløfs vej 300, room 02.13

In partial fulfillment of the terms for obtaining the Ph.D.-degree, Francois Deliège will give a lecture on the following subject:
Concepts and Techniques for Flexible and Effective Music Data Management

Abstract:
The growth of digital music has yielded a high demand for applications able to organize and search in large music databases. This thesis focuses on the data management aspects that underlie modern music applications: it introduces new conceptual representations for music similarities and playlists; and it proposes effective techniques facilitating the collection, storage, search, and manipulation of music data. The thesis resulted in 7 scientific papers and in a provisional patent.

The thesis begins by presenting the concept of Music Warehouses, dedicated Data Warehouses optimized for the storage and manipulation of music content. The thesis presents four main contributions. First, a scalable framework for collecting music features and distributing the computation of music similarities without infringing copyrights is presented.

Fourth, the thesis defines Fuzzy Lists, a novel mathematical concept, which provides a powerful foundation for playlist manipulation.

In conclusion, this thesis covers major issues linked to the management of music similarities and playlists and offers effective and flexible solutions that improve upon existing state-of-the-art techniques. Although the thesis focuses on the music domain, the presented techniques are general and can be applied to other domains; this substantially leverages the impact of the reported results.

Members of the assessment committee are Professor Yannis Manolopoulos, Aristotle University of Thessaloniki, Greece, Professor Robert Wrembel, Pozna. University of Technology, Poland, Associate Professor Kristian Torp (Chairman), Aalborg University, Denmark. Professor Torben B. Pedersen is Francois Deliège' advisor.

All interested parties are welcome. After the defense the department will be hosting a small reception in cluster 3.

Fredag d. 18. september fra 12.45 til ca. 15.30 afholdes et fælles seminar for Agile and Open Business Intelligence (AOBI) projektet og BIT-netværket.

Til seminaret har vi været så heldige at få fat på to meget spændende internationale oplægsholdere, som vil fokusere på hhv. open source BI og agil BI.

• Gabrielle Ruffatti, Italien, vil præsentere OW2 BI Initiative, som er en uafhængig non-profit organisation, der arbejder med udvikling og udbredelse af open source BI-værktøjer.
• Daniel Fagerstrøm, Sverige, vil præsentere sine erfaringer med at styre agile BI-projekter og håndtere de udfordringer, der opstår

Se programmet på http://www.cs.aau.dk/~tbp/BIT/moede31/moede31.html.

This summer, from 8th to 10th July, Daisy is hosting in Aalborg the renowned international symposium on spatial and temporal databases (SSTD). SSTD 2009 is the eleventh of a series of biannual events that discuss new and exciting research in spatio-temporal data management and related technologies. Previous symposia were held in Santa Barbara (1989), Zurich (1991), Singapore (1993), Portland (1995), Berlin (1997), Hong Kong (1999), Los Angeles (2001), Santorini, Greece (2003), Angra dos Reis, Brazil (2005), and Boston (2007).

The primary focus of SSTD is on original results in the areas of theoretical foundations, design, implementation, and applications of spatial and temporal database technology. SSTD also welcomes experience reports from application specialists and the commercial community that describe lessons learned in the development, operation, and maintenance of actual systems in practical and innovative applications. The goal is to exchange research ideas and results which will initially contribute to the academic arena, but may also benefit the commercial community in the near future and encourage a dialog between practitioners and researchers.

SSTD 2009 presents a strong technical program that consists of 3 keynote speeches, 20 full research papers, 10 system demonstrations, and 7 posters. In addition, SSTD 2009 features 3 advanced research seminars that give tutorials on state-of-the-art topics within spatio-temporal data management. Check out SSTD 2009 website for more details.

Time: July 6-7, 2009
Place: Aalborg University, Selma Lagerloefs vej 300

Description:
The course will treat state-of-the-art topics within spatio-temporal data. Lecturers are drawn from the participants of the co-located 11th International Symposium on Spatial and Temporal Databases (SSTD) (held in Aalborg July 8-10, 2009).

1. Searching in Spatial, Temporal, Spatio-Temporal and Multimedia Databases
   Authors: Hans-Peter Kriegel, Peer Kroger, and Matthias Renz (University of Munich)
   Presented by: Peer Kroger and Matthias Renz (University of Munich)
   This seminar provides a comprehensive and comparative overview of general techniques to efficiently support similarity queries in spatial, temporal, spatio-temporal, and multimedia databases.
   
   
2. Nearest Neighbor Search in Spatial and Spatio-temporal Databases
   Dimitris Papadias (Hong Kong University of Science and Technology)
   This seminar covers algorithms, queries, continuous monitoring, and generalized nearest neighbor search queries in spatial and spatiotemporal databases.
   
   
3. Spatial/Spatio-temporal Data Mining
   Shashi Shekhar (University of Minnesota)
   This seminar surveys some of the new methods for spatial/spatio-temporal data mining including those for discovering spatial co-locations, detecting spatial outliers and location prediction.

Go to the Ph.D. course website.
Go to the SSTD program.

Time: May 11-12, 2009
Place: Aalborg University, Selma Lagerloefs vej 300, room 0.2.13

Description:
In the past decade, four (often correlated) factors have shifted the performance bottleneck of data-intensive commercial workloads from I/O to the processor and memory subsystem. First, storage systems are becoming faster and more intelligent (now disks come complete with their own processors and caches). Second, modern database storage managers aggressively improve locality through clustering, hide I/O latencies using prefetching, and parallelize disk accesses using data striping. Third, main memories have become much larger and often hold the application's working set. Fourth, the increasing memory/processor speed gap accentuates the importance of processor caches to database performance. Additionally to deep memory hierarchies, however, the new multi-core chips add aggressive parallelism as a first-class requirement for database system scalability and performance.

How is database technology coping with these changes? This course will first motivate the problem of database performance on modern hardware by discussing how database and computer microarchitecture technologies have evolved over the past three decades. We will discuss approaches and methodologies used to produce time breakdowns when executing database workloads on modern processors. Then, we will survey techniques proposed in the literature towards architecture-conscious database systems, and their evaluation. We will emphasize the importance and explain the challenges when determining the optimal data placement on all levels of memory hierarchy, and contrast to other approaches such as prefetching data and instructions. Finally, we will discuss open problems and future directions on that arise on the new multi-core chip platforms.

Anastasia Ailamaki is a professor at EPFL, Lausanne (Switzerland). She is an expert in database system behavior on modern hardware (processor, memory, and disks).

The Daisy-TARGIT collaboration project "Optimizing Business Intelligence With Sentinels" has developed a new technology, called Sentinels. Sentinels provide early warnings about potential changes in critical business measures, like revenue. This is based on discovering how changes in measures of activity close to the customers/users, e.g., number of customer complaints or number of negative blog entries, have previously resulted in changes in the critical business measures. The Sentinels technology has just shipped in TARGIT BI Suite 2K9 that was released on April 21, 2009. Feedback from the Danish launch events for TARGIT BI Suite 2K9 shows that many TARGIT partners found Sentinels to be the most valuable new feature.

Daisy members Christian Thomsen and Torben Bach Pedersen have in the ongoing Agile and Open Business Intelligence (AOBI) project investigated the possibilities for using open source business intelligence software, together with the companies TARGIT, Nykredit, and StoltzeIT. As a direct result of the project, the new TARGIT BI Suite 2K9, released on April 21, 2009, supports the open source OLAP server Mondrian and the open source DBMS MySQL.
Companies and organizations can thus avoid buying expensive commercial database management systems (DBMSs) and OLAP servers and instead use free and open products together with a TARGIT solution.
For more information on TARGIT BI Suite 2K9, see here http://www.targit.com/About_TARGIT/News%20archive/News/...

Ira Assent received an award from Gesellschaft für Informatik for her Ph.D. thesis, which was defended at RWTH Aachen this past year. Prof. Dr. Thomas Seidl served as the thesis advisor.
The award was given to Ira on March 6 at a ceremony during the BTW 2009 conference.
Link to press release.

Daisy Professor Torben Bach Pedersen have participated in what is believed to be the world's first talkshow about business intelligence. The talkshow was shot at TARGIT Decision Day, the annual user gathering of Danish BI vendor TARGIT. Torben Bach Pedersen participated in a panel debate discussing the current status and the future of business intelligence. The other panel parcipants were Managing Director Jørgen Bardenfleth, Microsoft Denmark, CTO Morten Middelfart, TARGIT, and Director Benny Lohse, Rehfeld Partners.
The panel debate can be seen at YouTube.

Professor Torben Bach Pedersen and Professor Christian S. Jensen have received a grant of 4.9 mio. DKK for the project "Daisy Innovation". The project will spread Daisy's core knowledge on data-intensive systems to local companies, through a number of collaboration projects, networks, courses, and consulting tasks.
Specific topics include intelligent transport systems, business intelligence, workflow, and software architecture and testing.

Link to press release (in Danish)

Time: Thursday 22th January, 14:30
Place: Aalborg University, Selma Lagerloefs vej 300, room 0.2.12

Ira Assent will give an overview over her past and current research in multimedia databases.

Abstract:
Many database applications require efficient access to relevant content. Similarity search, for example, retrieves the most relevant database objects for a given query. When databases are large and the features describing the objects are high dimensional, simple one-to-one comparison between the query and all objects in the database is clearly infeasible. Knowledge discovery in databases is similarly slowed down by high dimensional large databases. Knowledge discovery tasks such as classification or clustering require efficient algorithms for large scale applications. Our approaches for runtime improvement include multistep filter-and-refine algorithms and index structures. We provide guarantees on the correctness of the result and demonstrate efficiency in experimental evaluations.

In partial fulfillment of the terms for obtaining the Ph.D.-degree, Maria Magdalena Ruxanda will give a lecture on the following subject: "Towards Efficient Music Similarity Search, Ranking, and Recommendation" on Monday 5th of January 2009, 14.00 in room 02.13, SL 300

Abstract:
This lecture addresses the issues of efficient music search, retrieval and recommendation in the setup of large collections of digital music. Music collections available over the World Wide Web or stored in personal collections on Mp3 players, PCs, and media centers have grown drastically. This explosion of digital music available on large-scale emerged into new ways of distributing, consuming, and searching for music. Music information retrieval and recommendation systems that retrieve music similar to other music, have consequently become more and more popular. These developments call for efficient data management and information retrieval techniques for large music collections.

Members of the assessment committee are Associate Professor Andreas Rauber, Vienna University of Technology, Austria, Associate Professor Mario Nascimento, University of Alberta, Canada, and Associate Professor Kristian Torp, Chairman, Aalborg University, Denmark.

Click here to read the complete abstract of the lecture.

An article in IEEE Computer by members of Daisy's Streamspin team argues for the case of user-generated mobile services and explains the approach adopted by Streamspin. The Streamspin project is funded by CSDR.

The In Motion magazine of the Mobile Systems network puts focus on Streamspin. The article, in Danish, can be found on pages 8-9 in the magazine, which is available here: In Motion 2008.

Other links:
Mobile systems main page
Streamspin webpage

Time: Wednesday 8th October, 13:00
Place: Aalborg University, Selma Lagerloefs vej 300, room 0.2.12

Abstract:
This talk deals with an unstudied area in moving objects database domains; predicting (long-term) future locations of moving objects. Moving object prediction enables us to provide a wide range of applications, such as traffic prediction, pre-detection of an aircraft collision, and reporting attractive gas prices for drivers along their routes ahead. Nevertheless, existing location prediction techniques are limited to support such applications since they are generally capable only of short-term predictions.

In real-world, many objects exhibit typical movement patterns. This pattern information is able to serve as an important background to tackle the limitations of the existing prediction methods. We aim at offering foundations of pattern-aware prediction for moving objects, rendering more precise prediction results.

Specifically, this talk focuses on three parts. The first part of the talk studies the problem of predicting future locations of moving objects in Euclidean space. The second part covers the prediction problem for moving objects in network space. The third part of the talk extends the prediction problem for a single object to that for multiple objects.

Hoyoung Jeung has a post-doc position in EFPL, Lausanne (Switzerland) and will be visiting AAU for 2 months.

Abstract:
Software documentation has many different forms. Source code documentation targets software developers or maintainers. Documenting source code comprises documenting interfaces, object collaborations and the ideas and rationales behind them. On the other hand there is user documentation, which addresses the persons who will actually work with the software. All kinds of documentation have in common that they tend to age, i.e. the source code and therefore the software product evolve faster than the corresponding documentation. Automating the tedious and error-prone parts of updating documentation would alleviate the problem. The talk will give an overview of ideas and solutions for keeping the different kinds of documentation consistent. Additionally, new documentation problems introduced by model driven software development (MDSD) will be illustrated along with first ideas how to solve them.

Andreas Bartho is a PhD student at the Technical University in Dresden, Germany.

See the original post

Abstract:
Observation and analysis of a phenomenon at unprecedented levels of granularity not only furthers our understanding of it, but also transforms the way it is studied. For instance, invention of gene-sequencing and computational analysis transformed the life sciences, creating fields of inquiry such as genomics, proteomics, etc. With the mass adoption of the Internet in our daily lives, and the ability to capture high resolution data on its use, we are at the threshold of a fundamental shift not only in our understanding of the social and behavioral sciences, but also the ways in which we study them. Massively multiplayer online games and virtual worlds have become increasingly popular and have communities comprising millions. They serve as unprecedented sites to theorize and empirically model the social and behavioral dynamics of individuals, groups, and networks within large communities.

This talk presents initial findings from a major interdisciplinary project investigating these phenomena. A unique resource available to the research team is access to the server logs including all behavioral traces (actions, interactions, and transactions) from one of the world's largest Massively Multiplayer Online (MMO) games, EverQuest 2. The talk will describe how this research offers new insights as well as challenges and opportunities for advancing social, behavioral and computational science.

Speaker bio:
Jaideep Srivastava is a professor at the University of Minnesota, where he has established and led a research laboratory which conducts research in the information and knowledge aspects of computing. He has supervised 24 Ph.D. dissertations and 50 M.S. theses, and authored or co-authored over 200 papers in refereed journals and conferences. Dr Srivastava have served on the editorial boards of various journals, including IEEE TPDS, IEEE TKDE, and the VLDB journal. He has also served as Program and Conference Chair for a number of prominent conferences, especially in the area of data mining, and is on the Steering Committee for the PAKDD series of conferences. He has delivered a number of keynote addresses, plenary talks, and invited tutorials at major conferences.

Dr Srivastava has a very active interaction with the industry, in both consulting and executive roles. Specifically, during a 2-year sabbatical during 1999-2001, he lead a corporate data mining team at Amazon.com and built a data analytics department at Yodlee from the ground up. More recently, he spent two years as the Chief Technology Officer for Persistent Systems, where he built an R&D division and oversaw the redesign of the training and technical vitalization program for 2,200+ engineers. He has provided technology and technology strategy advice to a number of large corporations including Cargill, United Technologies, IBM, Honeywell, 3M, and Eaton. He has served in an advisory capacity to a number of small companies, including Lancet Software and Infobionics. Dr Srivastava has also played an active advisory role in the government sector. Specifically, he has served as the US federal government's expert witness in a nationally significant tax case. He is presently serving as Senior Technology Advisor to the State of Minnesota, and is on the Technology Advisory Council to the Chief Minister of Maharashtra, India. He is a Fellow of the IEEE, and has been an IEEE Distinguished Visitor.

See the original post

Six new members of staff, Bin, Christian C, Darius, Dingming, Liu, and Stephan, will present themselves and answer questions. We expect that refreshments and snacks will be served. Be there or be square!

Go to the original link.

Abstract:
Spatial and spatio-temporal knowledge is increasingly applied in a variety of unconventional, i.e. not-the-usual-GIS, application areas. Two of those areas, which are subject of this talk, are information security and privacy. In information security a novel challenge is how to use spatial information to ensure stronger protection of sensitive resources. Although such a vision is not new, as it was pioneered by Dorothy Denning et al. in 1996, core research has started only in the last few years following the widespread use of mobile applications. In this talk, I will overview the research we have carried out to introduce the spatial dimension into access control, with particular concern for access control into the mobile context. I will overview the main ideas behind the GEO-RBAC model and then discuss some open issues which call for more flexible spatial data management solutions. Another area in which spatial knowledge can play an important role for the protection of sensitive information is location privacy. I will overview the motivations behind the approach we are investigating to safeguard location privacy.

Maria Luisa Damiani, Assistant Professor at the University of Milan since 2003. Prior experience in applied research in private and public companies in Italy, mostly in the areas of database, knowledge representation and geographical data management and applications. Currently, the research activity is focused on location-based security and privacy, spatio-temporal modeling and advanced geographical applications in geology and humanities.

Go to original link.

Tomorrow, Gao Cong will present an overview of his research on text mining, data mining, XML database and data warehouse.

The talk will take place in the auditorium. All staff and students in Department of Computer Science are welcome.

About Jesper:
Jesper Andersen is senior vice president of application development at Oracle where he is responsible for initiatives that cross Business Applications, including Application Integration Architecture (AIA) and overall Industry Application Strategy. He brings more than 15 years of development and technical experience to his role with the company.

Prior to Oracle, Mr. Andersen was general manager and group vice president at PeopleSoft, responsible for product strategy, development, quality and customer support activities related to PeopleSoft's core technology platforms. He has also served as executive vice president of products for Pivotal Corp. where oversaw product definition, development, marketing, quality assurance and technology vision. Before joining Pivotal, Mr. Andersen held numerous roles in Oracle's development organization where he built and launched Oracle's first on demand Applications.

Mr. Andersen holds a master's degree in computer science from Aalborg University in Denmark.

Qualifications needed: An M.Sc. in Computer Science or a closely related field from a recognized institution, with excellent results. Good communication skills in English, oral as well as written, are essential.

The monthly salary is approximately DKK 24.000 (and free fruit!).

Further information about the position and the application procedure can be found at http://stillinger.aau.dk/vis.php?nr=4063.

Please note that applications via email will NOT be considered.

In the Department of Computer Science at Aalborg University, Denmark, a number of assistant, associate, and full professor positions are available. Applicants are sought within all the department's research areas.

As members of Center for Data-Intensive Systems, Daisy, the database research faculty primarily conduct research in the areas temporal and spatio-temporal databases, mobile services, data warehousing, and business intelligence. According to a recent international evaluation, the research performance places Daisy among the world leaders in its core areas.

Additional information:

Full professor: http://stillinger.aau.dk/vis.php?nr=4023
Firm deadline: May 1, 2008

Associate professor: http://stillinger.aau.dk/vis.php?nr=4022
Firm deadline: April 1, 2008

Assistant professor: http://stillinger.aau.dk/vis.php?nr=4021
Firm deadline: April 1, 2008

Please read the announcements carefully and follow the instructions there. Note that electronic applications are NOT accepted.

The department offers office and computing facilities, secretarial support, and substantial support for travel. The teaching load is relatively low: typically at most 30 lectures per year, in addition to project supervision. The area features relatively low cost of living, clean air, beautiful forests and beaches, and very good transportation infrastructure.

The department: http://www.cs.aau.dk
Daisy: http://daisy.aau.dk

For further information, contact:
Torben Bach Pedersen (tbp "-at-"cs.aau.dk) or Christian S. Jensen (csj "-at-" cs.aau.dk).