@incollection{KiyLuckeZoerner2014, author = {Kiy, Alexander and Lucke, Ulrike and Zoerner, Dietmar}, title = {An adaptive personal learning environment architecture}, series = {Architecture of Computing Systems - ARCS 2014 Lecture Notes in Computer Science}, volume = {2014}, booktitle = {Architecture of Computing Systems - ARCS 2014 Lecture Notes in Computer Science}, number = {8350}, publisher = {Springer}, isbn = {978-3-319-04890-1}, publisher = {Universit{\"a}t Potsdam}, pages = {60 -- 71}, year = {2014}, abstract = {Institutions are facing the challenge to integrate legacy systems with steadily growing new ones, using different technologies and interaction patterns. With the demand of offering the best potential of all systems, several not matching systems including their functions have to be aggregated and offered in a useable way. This paper presents an adaptive, generalizable and self-organized Personal Learning Environment (PLE) framework with the potential to integrate several heterogeneous services using a service-oriented architecture. First, a general overview over the field is given, followed by the description of the core components of the PLE framework. A prototypical implementation is presented. Finally, it's shown how the PLE framework can be dynamically adapted to a changing system environment, reflecting experiences from first user studies.}, language = {en} } @article{BesnardSchaub1995, author = {Besnard, Philippe and Schaub, Torsten}, title = {An approach to context-based default reasoning}, issn = {0169-2968}, year = {1995}, language = {en} } @article{LinkeSchaub1998, author = {Linke, Thomas and Schaub, Torsten}, title = {An approach to query-answering in Reiter's default logic and the underlying existence of extensions problem.}, isbn = {3-540-65141-1}, year = {1998}, language = {en} } @article{ReinkeGloedeLauertetal.1999, author = {Reinke, Thomas and Gl{\"o}de, Dirk and Lauert, Alexander and Kupries, Mario and Horn, Erika}, title = {An architecture type-based development environment for agent application systems}, isbn = {3-9501023-0-2}, year = {1999}, language = {en} } @article{OnodaRaetschMueller2000, author = {Onoda, T. and R{\"a}tsch, Gunnar and M{\"u}ller, Klaus-Robert}, title = {An asymptotic analysis and improvement of AdaBoost in the binary classification case (in Japanese)}, year = {2000}, language = {en} } @article{LindauerHoosHutteretal.2015, author = {Lindauer, Marius and Hoos, Holger H. and Hutter, Frank and Schaub, Torsten}, title = {An automatically configured algorithm selector}, series = {The journal of artificial intelligence research}, volume = {53}, journal = {The journal of artificial intelligence research}, publisher = {AI Access Foundation}, address = {Marina del Rey}, issn = {1076-9757}, pages = {745 -- 778}, year = {2015}, abstract = {Algorithm selection (AS) techniques - which involve choosing from a set of algorithms the one expected to solve a given problem instance most efficiently - have substantially improved the state of the art in solving many prominent AI problems, such as SAT, CSP, ASP, MAXSAT and QBF. Although several AS procedures have been introduced, not too surprisingly, none of them dominates all others across all AS scenarios. Furthermore, these procedures have parameters whose optimal values vary across AS scenarios. This holds specifically for the machine learning techniques that form the core of current AS procedures, and for their hyperparameters. Therefore, to successfully apply AS to new problems, algorithms and benchmark sets, two questions need to be answered: (i) how to select an AS approach and (ii) how to set its parameters effectively. We address both of these problems simultaneously by using automated algorithm configuration. Specifically, we demonstrate that we can automatically configure claspfolio 2, which implements a large variety of different AS approaches and their respective parameters in a single, highly-parameterized algorithm framework. Our approach, dubbed AutoFolio, allows researchers and practitioners across a broad range of applications to exploit the combined power of many different AS methods. We demonstrate AutoFolio can significantly improve the performance of claspfolio 2 on 8 out of the 13 scenarios from the Algorithm Selection Library, leads to new state-of-the-art algorithm selectors for 7 of these scenarios, and matches state-of-the-art performance (statistically) on all other scenarios. Compared to the best single algorithm for each AS scenario, AutoFolio achieves average speedup factors between 1.3 and 15.4.}, language = {en} } @phdthesis{Linckels2008, author = {Linckels, Serge}, title = {An e-librarian service : supporting explorative learning by a description logics based semantic retrieval tool}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-17452}, school = {Universit{\"a}t Potsdam}, year = {2008}, abstract = {Although educational content in electronic form is increasing dramatically, its usage in an educational environment is poor, mainly due to the fact that there is too much of (unreliable) redundant, and not relevant information. Finding appropriate answers is a rather difficult task being reliant on the user filtering of the pertinent information from the noise. Turning knowledge bases like the online tele-TASK archive into useful educational resources requires identifying correct, reliable, and "machine-understandable" information, as well as developing simple but efficient search tools with the ability to reason over this information. Our vision is to create an E-Librarian Service, which is able to retrieve multimedia resources from a knowledge base in a more efficient way than by browsing through an index, or by using a simple keyword search. In our E-Librarian Service, the user can enter his question in a very simple and human way; in natural language (NL). Our premise is that more pertinent results would be retrieved if the search engine understood the sense of the user's query. The returned results are then logical consequences of an inference rather than of keyword matchings. Our E-Librarian Service does not return the answer to the user's question, but it retrieves the most pertinent document(s), in which the user finds the answer to his/her question. Among all the documents that have some common information with the user query, our E-Librarian Service identifies the most pertinent match(es), keeping in mind that the user expects an exhaustive answer while preferring a concise answer with only little or no information overhead. Also, our E-Librarian Service always proposes a solution to the user, even if the system concludes that there is no exhaustive answer. Our E-Librarian Service was implemented prototypically in three different educational tools. A first prototype is CHESt (Computer History Expert System); it has a knowledge base with 300 multimedia clips that cover the main events in computer history. A second prototype is MatES (Mathematics Expert System); it has a knowledge base with 115 clips that cover the topic of fractions in mathematics for secondary school w.r.t. the official school programme. All clips were recorded mainly by pupils. The third and most advanced prototype is the "Lecture Butler's E-Librarain Service"; it has a Web service interface to respect a service oriented architecture (SOA), and was developed in the context of the Web-University project at the Hasso-Plattner-Institute (HPI). Two major experiments in an educational environment - at the Lyc{\´e}e Technique Esch/Alzette in Luxembourg - were made to test the pertinence and reliability of our E-Librarian Service as a complement to traditional courses. The first experiment (in 2005) was made with CHESt in different classes, and covered a single lesson. The second experiment (in 2006) covered a period of 6 weeks of intensive use of MatES in one class. There was no classical mathematics lesson where the teacher gave explanations, but the students had to learn in an autonomous and exploratory way. They had to ask questions to the E-Librarian Service just the way they would if there was a human teacher.}, subject = {Terminologische Logik}, language = {en} } @article{DelgrandeSchaubTompits2006, author = {Delgrande, James Patrick and Schaub, Torsten and Tompits, Hans}, title = {An Extended Query language for action languages (and its application to aggregates and preferences)}, year = {2006}, language = {en} } @article{WangZhou2001, author = {Wang, Kewen and Zhou, Lizhu}, title = {An extension to GCWA and query evaluation for disjunctive deductive databases}, year = {2001}, language = {en} } @article{SchaubNicolas1997, author = {Schaub, Torsten and Nicolas, Pascal}, title = {An implementation platform for query-answering in default logics : the XRay system, its implementation and evaluation}, isbn = {3-540-63255-7}, year = {1997}, language = {en} }