International Conference on Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004., 2004
Page 1. Reinforcement Learning Architecture for Web Recommendations Nick Golovin, Erhard Rahm Uni... more Page 1. Reinforcement Learning Architecture for Web Recommendations Nick Golovin, Erhard Rahm Univ. ... It is initially set by a recommenda-tion algorithm and can be adjusted by the learning mod-ule. Examples of recommendation rules for product con-tent are: ...
We introduce the GeWare data warehouse approach for microarray-based gene expression analysis. Ge... more We introduce the GeWare data warehouse approach for microarray-based gene expression analysis. GeWare centrally stores raw and preprocessed expression data together with a variety of annotations to support different analysis forms. The flexibility of GeWare is made ...
Abstract We introduce the GeWare data warehouse system for microarray-based gene expression analy... more Abstract We introduce the GeWare data warehouse system for microarray-based gene expression analysis. GeWare centrally stores expression data together with a variety of annotations to support different analysis forms. Compared to previous work, our approach is unique in several ...
Datenbanksysteme in Büro, Technik und Wissenschaft(German Database Conference), 2007
We study an instance-based approach for matching hierarchical ontolo- gies, such as product catal... more We study an instance-based approach for matching hierarchical ontolo- gies, such as product catalogs. The motivation for utilizing instances is that meta- data-based match approaches often suffer from semantic heterogeneity, e.g. am- biguous concept names, different concept granularities or incomparable categori- zations. Our instance-based match approach matches categories based on the in- stances (e.g. products) assigned to them. This way
Datenbanksysteme in Büro, Technik und Wissenschaft(German Database Conference), 2003
Microarrays make it possible to monitor the expression of thousands of genes in parallel thus gen... more Microarrays make it possible to monitor the expression of thousands of genes in parallel thus generating huge amounts of data. So far, several databases have been developed for managing and analyzing this kind of data but the current state of the art in this field is still early stage. In this paper, we comprehensively analyze the requirements for microarray data
We present FEVER, a new evaluation platform for entity resolu- tion approaches. The modular struc... more We present FEVER, a new evaluation platform for entity resolu- tion approaches. The modular structure of the FEVER framework supports the incorporation or reconstruction of many previously proposed approaches for entity resolution. A distinctive feature of FEVER is that it not only evaluates traditional measures such as precision and recall but also the effort for configuring (e.g., pa- rameter tuning,
We analyze citation frequencies for two main database conferences (SIGMOD, VLDB) and three databa... more We analyze citation frequencies for two main database conferences (SIGMOD, VLDB) and three database journals (TODS, VLDB Journal, Sigmod Record) over 10 years. The citation data is obtai- ned by integrating and cleaning data from DBLP and Google Scho- lar. Our analysis considers different comparative metrics per publication venue, in particular the total and average number of ci- tations as
... IBM (USA) Ingo Macherius, Infonyte (Germany) Susan Malaika, IBM (USA) Florent Masseglia, INRI... more ... IBM (USA) Ingo Macherius, Infonyte (Germany) Susan Malaika, IBM (USA) Florent Masseglia, INRIA (France) Michele Melchiori, University of ... Tree Signatures for XML Querying and Navigation 149 Pavel Zezula, Giuseppe Amato, Franca Debole, Fausto Rabitti The Collection ...
Conference on Innovative Data Systems Research, 2007
Object matching or object consolidation is a crucial task for data in- tegration and data cleanin... more Object matching or object consolidation is a crucial task for data in- tegration and data cleaning. It addresses the problem of identifying object instances in data sources referring to the same real world entity. We propose a flexible framework called MOMA for map- ping-based object matching. It allows the construction of match workflows combining the results of several matcher algorithms
Proceedings. PARBASE-90: International Conference on Databases, Parallel Architectures, and Their Applications, 1990
... 2. System and transaction processing model Though our protocols are in principle applicable t... more ... 2. System and transaction processing model Though our protocols are in principle applicable to a wide range of distributed database systems, we restrict our considerations herc for definiteness to locally distributed systems without replication (parti-tioned dntabases). ...
International Conference on Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004., 2004
Page 1. Reinforcement Learning Architecture for Web Recommendations Nick Golovin, Erhard Rahm Uni... more Page 1. Reinforcement Learning Architecture for Web Recommendations Nick Golovin, Erhard Rahm Univ. ... It is initially set by a recommenda-tion algorithm and can be adjusted by the learning mod-ule. Examples of recommendation rules for product con-tent are: ...
We introduce the GeWare data warehouse approach for microarray-based gene expression analysis. Ge... more We introduce the GeWare data warehouse approach for microarray-based gene expression analysis. GeWare centrally stores raw and preprocessed expression data together with a variety of annotations to support different analysis forms. The flexibility of GeWare is made ...
Abstract We introduce the GeWare data warehouse system for microarray-based gene expression analy... more Abstract We introduce the GeWare data warehouse system for microarray-based gene expression analysis. GeWare centrally stores expression data together with a variety of annotations to support different analysis forms. Compared to previous work, our approach is unique in several ...
Datenbanksysteme in Büro, Technik und Wissenschaft(German Database Conference), 2007
We study an instance-based approach for matching hierarchical ontolo- gies, such as product catal... more We study an instance-based approach for matching hierarchical ontolo- gies, such as product catalogs. The motivation for utilizing instances is that meta- data-based match approaches often suffer from semantic heterogeneity, e.g. am- biguous concept names, different concept granularities or incomparable categori- zations. Our instance-based match approach matches categories based on the in- stances (e.g. products) assigned to them. This way
Datenbanksysteme in Büro, Technik und Wissenschaft(German Database Conference), 2003
Microarrays make it possible to monitor the expression of thousands of genes in parallel thus gen... more Microarrays make it possible to monitor the expression of thousands of genes in parallel thus generating huge amounts of data. So far, several databases have been developed for managing and analyzing this kind of data but the current state of the art in this field is still early stage. In this paper, we comprehensively analyze the requirements for microarray data
We present FEVER, a new evaluation platform for entity resolu- tion approaches. The modular struc... more We present FEVER, a new evaluation platform for entity resolu- tion approaches. The modular structure of the FEVER framework supports the incorporation or reconstruction of many previously proposed approaches for entity resolution. A distinctive feature of FEVER is that it not only evaluates traditional measures such as precision and recall but also the effort for configuring (e.g., pa- rameter tuning,
We analyze citation frequencies for two main database conferences (SIGMOD, VLDB) and three databa... more We analyze citation frequencies for two main database conferences (SIGMOD, VLDB) and three database journals (TODS, VLDB Journal, Sigmod Record) over 10 years. The citation data is obtai- ned by integrating and cleaning data from DBLP and Google Scho- lar. Our analysis considers different comparative metrics per publication venue, in particular the total and average number of ci- tations as
... IBM (USA) Ingo Macherius, Infonyte (Germany) Susan Malaika, IBM (USA) Florent Masseglia, INRI... more ... IBM (USA) Ingo Macherius, Infonyte (Germany) Susan Malaika, IBM (USA) Florent Masseglia, INRIA (France) Michele Melchiori, University of ... Tree Signatures for XML Querying and Navigation 149 Pavel Zezula, Giuseppe Amato, Franca Debole, Fausto Rabitti The Collection ...
Conference on Innovative Data Systems Research, 2007
Object matching or object consolidation is a crucial task for data in- tegration and data cleanin... more Object matching or object consolidation is a crucial task for data in- tegration and data cleaning. It addresses the problem of identifying object instances in data sources referring to the same real world entity. We propose a flexible framework called MOMA for map- ping-based object matching. It allows the construction of match workflows combining the results of several matcher algorithms
Proceedings. PARBASE-90: International Conference on Databases, Parallel Architectures, and Their Applications, 1990
... 2. System and transaction processing model Though our protocols are in principle applicable t... more ... 2. System and transaction processing model Though our protocols are in principle applicable to a wide range of distributed database systems, we restrict our considerations herc for definiteness to locally distributed systems without replication (parti-tioned dntabases). ...
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Papers by Erhard Rahm