Internal note for our chair: each of us should offer / provide 12 months of supervision every year. Each thesis or project "counts" just like it counts for the students, where #months = #ECTS / 4. That is, B.Sc. project = 6 ECTS = 1.5 months, M.Sc. project = 16 ECTS = 4 months, B.Sc. thesis = 12 ECTS = 3 months, M.Sc. thesis = 25 ECTS = 6 months.

Internal note to thesis supervisors: you need to make sure that each supervised thesis appears on our chair homepage. For this you need to:

1) put the final PDFs of the thesis and the presentation into /nfs/raid3/publications/theses - please follow the existing naming convention!; the PDFs will be available at http://ad-publications.informatik.uni-freiburg.de/theses/<PDF>

2) send a mail to Sabine with the following information: title of thesis, name of student, thesis abstract, link to thesis PDF, link to presentation PDF.

List of available and ongoing topics for current B.Sc. and M.Sc. projects and theses

Note to interested students: if all projects in this list are ongoing, this means that our current capacity for supervising projects and theses is reached. Maybe, if you come back later, there will be an offer again. You can also propose a topic on your own.

Deep Dive (project, available): DeepDive is a framework from the Stanford University that can construct a knowledge base (a database of facts like "Barack Obama" has-spouse "Michelle Obama") by analyzing large text corpora. It applies a large variety of state-of-the-art NLP techniques in distant-supervision and probabilistic inference. The project's goal would be 1) to evaluate the framework by applying it to a large text corpus 2) incorporate advanced methods or features to improve/enhance extraction quality. You should be confident in working in a Linux environment and you need practical experience in programming. supervised by Elmar Haussmann

Domain-Specific Semantic Full-Text Search (thesis, available): Our semantic search engine Broccoli answers structured, semantic queries. Queries can, in theory, be very complex and powerful. However, it is almost impossible for inexperienced users to build appropriate structured queries. There is an experimental feature to interpret queries in natural language and translate them to structured queries. Again, this is a difficult task we cannot solve perfectly (yet). With a limited vocabulary, this becomes much easier. Think of Facebook's Search and queries like "restaurants my friends like", "friends of my friends" - interpreting such queries is much easier than interpreting arbitrary questions on Wikipedia. We have created versions of Broccoli that work with medical texts, news articles, or patents. Usually, those texts introduce new challenges and make it even harder to provide a really good query experience. Goal of this thesis is to use such a domain or find a new one, solve the associated challenges as usual (with support by us), but this time also significantly reduce the features of our search and try to find a simple use-case and do that one thing really well. Ideally as a system that correctly answers a limited set of natual langauge questions. - supervised by Björn Buchhold

High Level Tests and Performance Tracking for Broccoli (project, available): Our semantic search engine Broccoli currently features unit tests that are automatically build and run on commits to a central repository. However, there is no way to track the effect of changes on the system's performance, both, in terms of query execution time and result quality. The task of the project is to come up (in discussions with the people invloved with Broccoli) with set of queries and a way to visualize results that can be run on a regular basis. A major challenge arises because either changes to Broccoli or downloads of new input data require new indexes to be build. This task is computationally expensive and cannot be performed as often as building and running unit tests. Apart from that, variations in response times and results are tolerated and even expected every time. Still, it would be highly beneficial to be presented with an overview of changes between builds so that unexpected differences can be examined manually if necessary. - supervised by Björn Buchhold

Value Recognition in Full-Text (thesis, ONGOING): Text documents contain various values of different types. Dates, weights, lengths, heights and many more can be expressed obviously like 13kg, less obivously, e.g., ten tons, and highly obfuscated, e.g., for the first half of the year. For our semantic search engine Broccoli, we do not make use of this inforamtion, yet. The taks of the thesis is to produce a (UIMA) component that extracts such values from text documents, that serve as input for further steps to enable semantic search that matches such values. Additionally the findings should be evaluated. Facts which kinds of values are truely hard to extract and which are relatively easy, is very valuable knowledge as well. - supervised by Björn Buchhold

Structured extraction of text from scientific PDF documents (master thesis, ONGOING) A lot of documents are only available in the PDF format which was originally intended for platform independent uniform display and printing. To process the contained information one has to extract the contained plain text. To be able to do this correctly one has to consider the formatting structure of the documents to be able to identify the parts of the text that belong together. The goal is to create such a non-trivial structured text-extraction on top of an available PDF library like, e.g., PDFBox so that the contained texts can be further processed by our search engine ... supervised by Claudius Korzen

A mobile app for kitchen management (project, ONGOING) Our comfortable kitchen provides a lot of drinks and food. Whenever an employee consumes something, he is asked to mark it on our tally sheet and to pay the accumulated amount whenever he wants. In general, the noted amount is quite smaller than the actual amount to pay due to some uncertainties about the prices and due to the oblivion of our staff. Moreover, the payment behavior could be better in general. The goal of this project is to implement a mobile app, that can be used to manage the kitchen accounts of our staff. At least, it should be possible to scan the product before consuming and to debit the employee's account with the corresponding price. In certain intervals, a notice to pay should be sent to each employee. Can be expanded by any number of additional features ... supervised by Claudius Korzen

Learning from OSM data (theses or larger projects, available) OpenStreetMap (OSM) bears a lot of data that geo-search and render engines cannot use sufficiently at the moment. A variety of topics is available in that area, e.g. landscape classification based on street network data, learning classifiers for regions of interest (e.g. industrial areas), developing data structures to answer queries with specific geo-relations ('next to', 'south of', 'along'), automated tagging and classification of points of interest (e.g. lake -> place to swim), etc. ... supervised by Sabine Storandt

Setting up a browser for DBPedia with Broccoli (project, available) We derived a simplified version of the Freebase ontology and set up a web application to browse the data based on our Broccoli search engine, called Freebase Easy: http://freebase-easy.cs.uni-freiburg.de . The goal of this project would be to do something similar with the DBPedia ontology. This means modifying the freely downloadable dataset so that it 1) can be processed by our pipeline and 2) has a form that allows for a comfortable browsing with our user interface (e.g. providing unique and proper human readable names for instances and types) ... supervised by Florian Bäurle

A keyword query translator for Broccoli (bachelor thesis, ONGOING) Our Broccoli search engine has its own special query language (SPARQL-like trees). Though the userinterface guides users in the incremental query creation process, many users got accustomed to simple keyword queries like they are used, e.g., when searching with Google. To make the interface more attractive for these users and for the general convenience of a quick query creation, it would be nice to have a mechanism that translates normal keyword queries into equivalent structured Broccoli queries. We already implemented an experimental mechanism that can make such translations (e.g., just try entering "mafia films by Francis Coppola" into the input field of the userinterface) as a proof of concept. The work of this thesis would be to implement a better, more powerful query translator ... supervised by Florian Bäurle

Usability study for the Broccoli user interface (bachelor thesis, available) We developed a special user interface for the prototype of our semantic full-text search engine Broccoli: http://broccoli.cs.uni-freiburg.de . An open taks is yet to make a thorough user study to evaluate the usability of the interface, compare it to other search interfaces and identify weak points that could be improved ... supervised by Florian Bäurle

Question Answering using Semantic Full-Text Search (thesis, available): Use our semantic full-text search engine Broccoli for the FACTOID and LIST questions from one of the TREC Questions Answering benchmarks, e.g. http://trec.nist.gov/data/qa/2006_qadata/QA2006_testset.xml . What is the performance of manually constructed queries, and what can be done to improve it? Good if you heard the information retrieval lecture before, but not absolutely necessary ... supervised by Hannah Bast and [Elmar or Björn]

An easy-to-use web app for the CompleteSearch engine (project, available): The CompleteSearch engine complex search capabilities (including prefix search and faceted search) on semi-structured data (text and databases) with very fast query times. Our current software is powerful and flexible, but has quite a learning curve before it can be used. The goal of this project would be to set up a web app, where one can upload any CSV dataset, and then have a convenient search (with meaningful default settings), without having to set up anything oneself. This would be an extremely useful web application ... supervised by Hannah Bast

Completed B.Sc. or M.Sc. projects and theses

[Die Liste ist noch unvollständig, insbesondere fehlen gerade noch die ganzen Projekte. Titel der Arbeit sollte da auch noch stehen und ein Link zur jeweiligen Webseite bzw. Arbeit und Präsentation. Und das Anfangs- und Enddatum.]

B.Sc. thesis Manuel Ruder (Elmar)

M.sc. thesis Niklas Meinzer (Sabine)

B.Sc. thesis Christian Ehrenfeld (Hannah)

B.Sc. thesis Philipp Bausch (Elmar)

M.Sc. thesis Eugen Sawin (Hannah)

M.Sc. thesis Patrick Brosi (Hannah + Sabine)

B.Sc. thesis Marius Bethge (Björn)

M.Sc. thesis Cynthia Jimenez (Sabine)

M.Sc. thesis Jonas Sternisko (Hannah)

M.Sc. thesis Ragavan Natarajan (Florian)

B.Sc. thesis Benjamin Meier (Claudius)

M.Sc. thesis Susanne Eichel (Hannah)

B.Sc. thesis Axel Lehmann (Hannah)

B.Sc. thesis Adrian Batzill (Hannah)

B.Sc. thesis Anton Stepan (Björn)

M.Sc. thesis Mirko Brodesser (Hannah + Sabine)

M.Sc. thesis Manuel Braun (Hannah + Sabine)

B.Sc. thesis Robin Schirrmeister (Hannah)

B.Sc. thesis Simon Skilevic (Hannah)

M.Sc. thesis Ilinca Tudose (Hannah + Elmar)

B.Sc. thesis Christiane Schaffer (Florian)

M.Sc. thesis Dirk Kienle (Hannah)

B.Sc. thesis Ina Baumgarten (Hannah + Björn)

B.Sc. thesis Niklas Meinzer (Hannah + Björn)

M.Sc. thesis Claudius Korzen (Hannah)

M.Sc. thesis Florian Bäurle (Hannah)

M.Sc. thesis Elmar Haußmann (Hannah)

M.Sc. thesis Oliver Mitevski (Hannah + Marjan)

M.Sc. thesis Björn Buchhold (Hannah)

Diploma thesis Johannes Schwenk (Hannah)

B.Sc. thesis Mirko Brodesser (Hannah + Marjan)