[{"_id":"63434","user_id":"32202","department":[{"_id":"97"},{"_id":"643"}],"keyword":["hoffmann","reviewed","proceedings"],"language":[{"iso":"eng"}],"type":"conference","publication":"Proceedings of the Fourteenth Congress of the European Society for Research in Mathematics Education (CERME14)","editor":[{"first_name":"Marianna","full_name":"Bosch, Marianna","last_name":"Bosch"},{"full_name":"Bolondi, Giorgio","last_name":"Bolondi","first_name":"Giorgio"},{"first_name":"Susana","full_name":"Carreira, Susana","last_name":"Carreira"},{"last_name":"Michael","full_name":"Michael, Gaidoschik","first_name":"Gaidoschik"},{"first_name":"Spagnolo","last_name":"Camilla","full_name":"Camilla, Spagnolo"}],"status":"public","oa":"1","date_updated":"2026-01-04T21:29:36Z","date_created":"2026-01-04T21:26:04Z","author":[{"last_name":"Hoffmann","full_name":"Hoffmann, Max","first_name":"Max"}],"title":"Using scriptwriting as a response format for interface tasks: Exemplary analyses in the context of symmetry","main_file_link":[{"url":"https://hal.science/CERME14/hal-05237875v1","open_access":"1"}],"quality_controlled":"1","year":"2025","citation":{"ieee":"M. Hoffmann, “Using scriptwriting as a response format for interface tasks: Exemplary analyses in the context of symmetry,” in <i>Proceedings of the Fourteenth Congress of the European Society for Research in Mathematics Education (CERME14)</i>, 2025.","chicago":"Hoffmann, Max. “Using Scriptwriting as a Response Format for Interface Tasks: Exemplary Analyses in the Context of Symmetry.” In <i>Proceedings of the Fourteenth Congress of the European Society for Research in Mathematics Education (CERME14)</i>, edited by Marianna Bosch, Giorgio Bolondi, Susana Carreira, Gaidoschik Michael, and Spagnolo Camilla, 2025.","ama":"Hoffmann M. Using scriptwriting as a response format for interface tasks: Exemplary analyses in the context of symmetry. In: Bosch M, Bolondi G, Carreira S, Michael G, Camilla S, eds. <i>Proceedings of the Fourteenth Congress of the European Society for Research in Mathematics Education (CERME14)</i>. ; 2025.","bibtex":"@inproceedings{Hoffmann_2025, title={Using scriptwriting as a response format for interface tasks: Exemplary analyses in the context of symmetry}, booktitle={Proceedings of the Fourteenth Congress of the European Society for Research in Mathematics Education (CERME14)}, author={Hoffmann, Max}, editor={Bosch, Marianna and Bolondi, Giorgio and Carreira, Susana and Michael, Gaidoschik and Camilla, Spagnolo}, year={2025} }","short":"M. Hoffmann, in: M. Bosch, G. Bolondi, S. Carreira, G. Michael, S. Camilla (Eds.), Proceedings of the Fourteenth Congress of the European Society for Research in Mathematics Education (CERME14), 2025.","mla":"Hoffmann, Max. “Using Scriptwriting as a Response Format for Interface Tasks: Exemplary Analyses in the Context of Symmetry.” <i>Proceedings of the Fourteenth Congress of the European Society for Research in Mathematics Education (CERME14)</i>, edited by Marianna Bosch et al., 2025.","apa":"Hoffmann, M. (2025). Using scriptwriting as a response format for interface tasks: Exemplary analyses in the context of symmetry. In M. Bosch, G. Bolondi, S. Carreira, G. Michael, &#38; S. Camilla (Eds.), <i>Proceedings of the Fourteenth Congress of the European Society for Research in Mathematics Education (CERME14)</i>."}},{"publication":"Music Encoding Conference Proceedings 2021","type":"conference","status":"public","editor":[{"first_name":"Stefan","last_name":"Münnich","full_name":"Münnich, Stefan"},{"full_name":"Rizo, David","last_name":"Rizo","first_name":"David"}],"abstract":[{"text":"Performance of music in the home was the means by which most works were received before the advent of audio recordings and broadcasts, yet the notation sources that form our primary record of this culture have not been the subject of comprehensive or methodical study. Choices made by arrangers adapting music for domestic consumption – of instrumentation, abbreviation, or simplification – reflect the musical life of the 19th century, and can inform our understanding alongside contemporary accounts such as newspapers, adverts, and diaries. This position paper gives the background, motivation, and proposed approach of research currently being undertaken within the Beethoven in the House project. This will include a study of Steiner editions of Beethoven’s 7th and 8th Symphonies and Wellingtons Sieg, making a detailed comparison between arrangements, systematically identifying a core common to multiple versions, and asking if this reflects the stated values of the publisher. A second survey will look for patterns across a larger sample of lesser-known and poorly catalogued scores, collating emergent indicators of arrangers’ motivations within a narrative of the domestic market – the music industry of its day. Both studies will innovate digital methods which characterise arrangements as music encodings, including ‘sparse’ approaches to notation and annotation.","lang":"eng"}],"department":[{"_id":"874"}],"user_id":"1684","_id":"55834","language":[{"iso":"eng"}],"keyword":["BitH","mec-proceedings","mec-proceedings-2021"],"publication_identifier":{"isbn":["978-84-13-02173-7"]},"publication_status":"published","page":"117–123","citation":{"short":"K.R. Page, J. Kepper, C. Siegert, A. Hankinson, D. Lewis, in: S. Münnich, D. Rizo (Eds.), Music Encoding Conference Proceedings 2021, Humanities Commons, 2022, pp. 117–123.","mla":"Page, Kevin R., et al. “Beethoven in the House: Digital Studies of Domestic Music Arrangements.” <i>Music Encoding Conference Proceedings 2021</i>, edited by Stefan Münnich and David Rizo, Humanities Commons, 2022, pp. 117–123, doi:<a href=\"https://doi.org/10.17613/389b-xx73\">10.17613/389b-xx73</a>.","bibtex":"@inproceedings{Page_Kepper_Siegert_Hankinson_Lewis_2022, title={Beethoven in the House: Digital Studies of Domestic Music Arrangements}, DOI={<a href=\"https://doi.org/10.17613/389b-xx73\">10.17613/389b-xx73</a>}, booktitle={Music Encoding Conference Proceedings 2021}, publisher={Humanities Commons}, author={Page, Kevin R. and Kepper, Johannes and Siegert, Christine and Hankinson, Andrew and Lewis, David}, editor={Münnich, Stefan and Rizo, David}, year={2022}, pages={117–123} }","apa":"Page, K. R., Kepper, J., Siegert, C., Hankinson, A., &#38; Lewis, D. (2022). Beethoven in the House: Digital Studies of Domestic Music Arrangements. In S. Münnich &#38; D. Rizo (Eds.), <i>Music Encoding Conference Proceedings 2021</i> (pp. 117–123). Humanities Commons. <a href=\"https://doi.org/10.17613/389b-xx73\">https://doi.org/10.17613/389b-xx73</a>","chicago":"Page, Kevin R., Johannes Kepper, Christine Siegert, Andrew Hankinson, and David Lewis. “Beethoven in the House: Digital Studies of Domestic Music Arrangements.” In <i>Music Encoding Conference Proceedings 2021</i>, edited by Stefan Münnich and David Rizo, 117–123. Humanities Commons, 2022. <a href=\"https://doi.org/10.17613/389b-xx73\">https://doi.org/10.17613/389b-xx73</a>.","ieee":"K. R. Page, J. Kepper, C. Siegert, A. Hankinson, and D. Lewis, “Beethoven in the House: Digital Studies of Domestic Music Arrangements,” in <i>Music Encoding Conference Proceedings 2021</i>, 2022, pp. 117–123, doi: <a href=\"https://doi.org/10.17613/389b-xx73\">10.17613/389b-xx73</a>.","ama":"Page KR, Kepper J, Siegert C, Hankinson A, Lewis D. Beethoven in the House: Digital Studies of Domestic Music Arrangements. In: Münnich S, Rizo D, eds. <i>Music Encoding Conference Proceedings 2021</i>. Humanities Commons; 2022:117–123. doi:<a href=\"https://doi.org/10.17613/389b-xx73\">10.17613/389b-xx73</a>"},"year":"2022","author":[{"first_name":"Kevin R.","last_name":"Page","full_name":"Page, Kevin R."},{"last_name":"Kepper","orcid":"0000-0003-4891-260X","id":"1684","full_name":"Kepper, Johannes","first_name":"Johannes"},{"full_name":"Siegert, Christine","last_name":"Siegert","first_name":"Christine"},{"first_name":"Andrew","last_name":"Hankinson","full_name":"Hankinson, Andrew"},{"first_name":"David","full_name":"Lewis, David","last_name":"Lewis"}],"date_created":"2024-08-28T11:42:27Z","publisher":"Humanities Commons","oa":"1","date_updated":"2024-08-28T14:10:51Z","doi":"10.17613/389b-xx73","main_file_link":[{"open_access":"1","url":"https://hcommons.org/deposits/item/hc:45995/"}],"title":"Beethoven in the House: Digital Studies of Domestic Music Arrangements"},{"keyword":["mec-proceedings","mec-proceedings-2020"],"language":[{"iso":"eng"}],"_id":"55841","project":[{"name":"Beethovens Werkstatt - Genetische Textkritik und Digitale Musikedition","_id":"743"}],"department":[{"_id":"874"},{"_id":"538"}],"user_id":"1684","abstract":[{"lang":"eng","text":"For musicologists, the collation of multiple sources of the same work is a frequent task. By comparing different witnesses, they seek to identify variation, describe dependencies, and ultimately understand the genesis and transmission of (musical) works. Obviously, the need for such comparison is independent from the medium in which a musical work is manifested. In computing, comparing files for difference is a common task, and the well-known Unix utility diff is almost 46 years old. However, diff, like many other such tools, operates on plain text. While many music encoding formats based on plain text exist, formats used in the field of Digital Humanities are typically based on XML. There are dedicated algorithms for comparing XML as well, but they only focus on the syntax of XML, but not the semantic structures modelled into such standards as MEI. MEI seeks to describe musical structures, and the XML syntax is just a means to express those structures. A diff tool for music should focus on comparing musical structures, but not the specifics of their serialization into a file format. In {Beethovens Werkstatt}, a 16-year project focussed on exploring the concepts and requirements of digital genetic editions of music, based on and arguing with examples from Ludwig van Beethoven, a case-bound diff tool for music was developed. The following paper discusses how that specific tool can be generalized, and which use cases such a tool may support."}],"editor":[{"first_name":"Elsa","last_name":"De Luca","full_name":"De Luca, Elsa"},{"full_name":"Flanders, Julia","last_name":"Flanders","first_name":"Julia"}],"status":"public","publication":"Music Encoding Conference Proceedings 2020","type":"conference","title":"MusicDiff – A Diff Tool for MEI","doi":"10.17613/ydbv-e158","main_file_link":[{"open_access":"1","url":"https://hcommons.org/deposits/item/hc:31963/"}],"oa":"1","date_updated":"2024-08-28T14:04:19Z","publisher":"Humanities Commons","author":[{"last_name":"Herold","full_name":"Herold, Kristin","first_name":"Kristin"},{"first_name":"Johannes","last_name":"Kepper","orcid":"0000-0003-4891-260X","id":"1684","full_name":"Kepper, Johannes"},{"full_name":"Mo, Ran","last_name":"Mo","first_name":"Ran"},{"first_name":"Agnes Regina","id":"24239","full_name":"Seipelt, Agnes Regina","last_name":"Seipelt"}],"date_created":"2024-08-28T11:45:23Z","year":"2020","page":"59–66","citation":{"ieee":"K. Herold, J. Kepper, R. Mo, and A. R. Seipelt, “MusicDiff – A Diff Tool for MEI,” in <i>Music Encoding Conference Proceedings 2020</i>, 2020, pp. 59–66, doi: <a href=\"https://doi.org/10.17613/ydbv-e158\">10.17613/ydbv-e158</a>.","chicago":"Herold, Kristin, Johannes Kepper, Ran Mo, and Agnes Regina Seipelt. “MusicDiff – A Diff Tool for MEI.” In <i>Music Encoding Conference Proceedings 2020</i>, edited by Elsa De Luca and Julia Flanders, 59–66. Humanities Commons, 2020. <a href=\"https://doi.org/10.17613/ydbv-e158\">https://doi.org/10.17613/ydbv-e158</a>.","ama":"Herold K, Kepper J, Mo R, Seipelt AR. MusicDiff – A Diff Tool for MEI. In: De Luca E, Flanders J, eds. <i>Music Encoding Conference Proceedings 2020</i>. Humanities Commons; 2020:59–66. doi:<a href=\"https://doi.org/10.17613/ydbv-e158\">10.17613/ydbv-e158</a>","mla":"Herold, Kristin, et al. “MusicDiff – A Diff Tool for MEI.” <i>Music Encoding Conference Proceedings 2020</i>, edited by Elsa De Luca and Julia Flanders, Humanities Commons, 2020, pp. 59–66, doi:<a href=\"https://doi.org/10.17613/ydbv-e158\">10.17613/ydbv-e158</a>.","short":"K. Herold, J. Kepper, R. Mo, A.R. Seipelt, in: E. De Luca, J. Flanders (Eds.), Music Encoding Conference Proceedings 2020, Humanities Commons, 2020, pp. 59–66.","bibtex":"@inproceedings{Herold_Kepper_Mo_Seipelt_2020, title={MusicDiff – A Diff Tool for MEI}, DOI={<a href=\"https://doi.org/10.17613/ydbv-e158\">10.17613/ydbv-e158</a>}, booktitle={Music Encoding Conference Proceedings 2020}, publisher={Humanities Commons}, author={Herold, Kristin and Kepper, Johannes and Mo, Ran and Seipelt, Agnes Regina}, editor={De Luca, Elsa and Flanders, Julia}, year={2020}, pages={59–66} }","apa":"Herold, K., Kepper, J., Mo, R., &#38; Seipelt, A. R. (2020). MusicDiff – A Diff Tool for MEI. In E. De Luca &#38; J. Flanders (Eds.), <i>Music Encoding Conference Proceedings 2020</i> (pp. 59–66). Humanities Commons. <a href=\"https://doi.org/10.17613/ydbv-e158\">https://doi.org/10.17613/ydbv-e158</a>"},"publication_status":"published"},{"type":"book_editor","status":"public","editor":[{"first_name":"Giuliano","last_name":"Di Bacco","full_name":"Di Bacco, Giuliano"},{"full_name":"Kepper, Johannes","id":"1684","orcid":"0000-0003-4891-260X","last_name":"Kepper","first_name":"Johannes"},{"first_name":"Perry D.","last_name":"Roland","full_name":"Roland, Perry D."}],"abstract":[{"lang":"eng","text":"Conference proceedings of the Music Encoding Conferences 2015, 2016 and 2017 with Introduction by Giuliano Di Bacco"}],"user_id":"1684","department":[{"_id":"538"},{"_id":"874"}],"_id":"55849","language":[{"iso":"eng"}],"keyword":["mec-proceedings","mec-proceedings-2016","mec-proceedings-2015","mec-proceedings-2017"],"publication_status":"published","citation":{"chicago":"Di Bacco, Giuliano, Johannes Kepper, and Perry D. Roland, eds. <i>Music Encoding Conference Proceedings 2015, 2016 and 2017</i>. Bavarian State Library (BSB), 2019. <a href=\"https://doi.org/10.15463/music-1\">https://doi.org/10.15463/music-1</a>.","ieee":"G. Di Bacco, J. Kepper, and P. D. Roland, Eds., <i>Music Encoding Conference Proceedings 2015, 2016 and 2017</i>. Bavarian State Library (BSB), 2019.","ama":"Di Bacco G, Kepper J, Roland PD, eds. <i>Music Encoding Conference Proceedings 2015, 2016 and 2017</i>. Bavarian State Library (BSB); 2019. doi:<a href=\"https://doi.org/10.15463/music-1\">10.15463/music-1</a>","apa":"Di Bacco, G., Kepper, J., &#38; Roland, P. D. (Eds.). (2019). <i>Music Encoding Conference Proceedings 2015, 2016 and 2017</i>. Bavarian State Library (BSB). <a href=\"https://doi.org/10.15463/music-1\">https://doi.org/10.15463/music-1</a>","mla":"Di Bacco, Giuliano, et al., editors. <i>Music Encoding Conference Proceedings 2015, 2016 and 2017</i>. Bavarian State Library (BSB), 2019, doi:<a href=\"https://doi.org/10.15463/music-1\">10.15463/music-1</a>.","bibtex":"@book{Di Bacco_Kepper_Roland_2019, title={Music Encoding Conference Proceedings 2015, 2016 and 2017}, DOI={<a href=\"https://doi.org/10.15463/music-1\">10.15463/music-1</a>}, publisher={Bavarian State Library (BSB)}, year={2019} }","short":"G. Di Bacco, J. Kepper, P.D. Roland, eds., Music Encoding Conference Proceedings 2015, 2016 and 2017, Bavarian State Library (BSB), 2019."},"year":"2019","date_created":"2024-08-28T11:48:09Z","oa":"1","publisher":"Bavarian State Library (BSB)","date_updated":"2024-08-28T13:58:21Z","main_file_link":[{"url":"https://doi.org/10.15463/music-1","open_access":"1"}],"doi":"10.15463/music-1","title":"Music Encoding Conference Proceedings 2015, 2016 and 2017"},{"type":"conference","publication":"Music Encoding Conference Proceedings 2015, 2016 and 2017","editor":[{"last_name":"Di Bacco","full_name":"Di Bacco, Giuliano","first_name":"Giuliano"},{"first_name":"Johannes","last_name":"Kepper","full_name":"Kepper, Johannes"},{"full_name":"Roland, Perry","last_name":"Roland","first_name":"Perry"}],"abstract":[{"lang":"eng","text":"The Freischütz Digital project (FreiDi) was one of the pioneer projects employing MEI in large scale. It did not only try to encode a huge quantity of music material, it also sought to capture as many aspects of the available sources as possible, effectively creating data of almost unrivaled richness. This paper discusses the outcomes of and experiences made in the FreiDi project."}],"status":"public","_id":"55837","user_id":"1684","department":[{"_id":"538"},{"_id":"874"}],"keyword":["mec-proceedings","mec-proceedings-2016"],"language":[{"iso":"eng"}],"publication_status":"published","year":"2019","citation":{"chicago":"Kepper, Johannes. “Wie? Was? Entsetzen! Lessons Learned from the Freischütz Digital Project.” In <i>Music Encoding Conference Proceedings 2015, 2016 and 2017</i>, edited by Giuliano Di Bacco, Johannes Kepper, and Perry Roland, 95–105. Bavarian State Library (BSB), 2019. <a href=\"https://doi.org/10.15463/music-1\">https://doi.org/10.15463/music-1</a>.","ieee":"J. Kepper, “Wie? Was? Entsetzen! Lessons Learned from the Freischütz Digital Project,” in <i>Music Encoding Conference Proceedings 2015, 2016 and 2017</i>, 2019, pp. 95–105, doi: <a href=\"https://doi.org/10.15463/music-1\">10.15463/music-1</a>.","ama":"Kepper J. Wie? Was? Entsetzen! Lessons Learned from the Freischütz Digital Project. In: Di Bacco G, Kepper J, Roland P, eds. <i>Music Encoding Conference Proceedings 2015, 2016 and 2017</i>. Bavarian State Library (BSB); 2019:95–105. doi:<a href=\"https://doi.org/10.15463/music-1\">10.15463/music-1</a>","short":"J. Kepper, in: G. Di Bacco, J. Kepper, P. Roland (Eds.), Music Encoding Conference Proceedings 2015, 2016 and 2017, Bavarian State Library (BSB), 2019, pp. 95–105.","mla":"Kepper, Johannes. “Wie? Was? Entsetzen! Lessons Learned from the Freischütz Digital Project.” <i>Music Encoding Conference Proceedings 2015, 2016 and 2017</i>, edited by Giuliano Di Bacco et al., Bavarian State Library (BSB), 2019, pp. 95–105, doi:<a href=\"https://doi.org/10.15463/music-1\">10.15463/music-1</a>.","bibtex":"@inproceedings{Kepper_2019, title={Wie? Was? Entsetzen! Lessons Learned from the Freischütz Digital Project}, DOI={<a href=\"https://doi.org/10.15463/music-1\">10.15463/music-1</a>}, booktitle={Music Encoding Conference Proceedings 2015, 2016 and 2017}, publisher={Bavarian State Library (BSB)}, author={Kepper, Johannes}, editor={Di Bacco, Giuliano and Kepper, Johannes and Roland, Perry}, year={2019}, pages={95–105} }","apa":"Kepper, J. (2019). Wie? Was? Entsetzen! Lessons Learned from the Freischütz Digital Project. In G. Di Bacco, J. Kepper, &#38; P. Roland (Eds.), <i>Music Encoding Conference Proceedings 2015, 2016 and 2017</i> (pp. 95–105). Bavarian State Library (BSB). <a href=\"https://doi.org/10.15463/music-1\">https://doi.org/10.15463/music-1</a>"},"page":"95–105","publisher":"Bavarian State Library (BSB)","date_updated":"2024-08-28T14:06:38Z","author":[{"first_name":"Johannes","last_name":"Kepper","orcid":"0000-0003-4891-260X","id":"1684","full_name":"Kepper, Johannes"}],"date_created":"2024-08-28T11:44:28Z","title":"Wie? Was? Entsetzen! Lessons Learned from the Freischütz Digital Project","doi":"10.15463/music-1"},{"abstract":[{"lang":"eng","text":"Over the last years, the Linked Open Data (LOD) has evolved from a mere 12 to more than 10, 000 knowledge bases. These knowledge bases come from diverse domains including (but not limited to) publications, life sciences, social networking, government, media, linguistics. Moreover, the LOD cloud also contains a large number of crossdomain knowledge bases such as DBpedia and Yago2. These knowledge bases are commonly managed in a decentralized fashion and contain partly overlapping information. This architectural choice has led to knowledge pertaining to the same domain being published by independent entities in the LOD cloud. For example, information on drugs can be found in Diseasome as well as DBpedia and Drugbank. Furthermore, certain knowledge bases such as DBLP have been published by several bodies, which in turn has lead to duplicated content in the LOD. In addition, large amounts of geo-spatial information have been made available with the growth of heterogeneous Web of Data. The concurrent publication of knowledge bases containing related information promises to become a phenomenon of increasing importance with the growth of the number of independent data providers. Enabling the joint use of the knowledge bases published by these providers for tasks such as federated queries, cross-ontology question answering and data integration is most commonly tackled by creating links between the resources described within these knowledge bases. Within this thesis, we spur the transition from isolated knowledge bases to enriched Linked Data sets where information can be easily integrated and processed. To achieve this goal, we provide concepts, approaches and use cases that facilitate the integration and enrichment of information with other data types that are already present on the Linked Data Web with a focus on geo-spatial data. The first challenge that motivates our work is the lack of measures that use the geographic data for linking geo-spatial knowledge bases. This is partly due to the geo-spatial resources being described by the means of vector geometry. In particular, discrepancies in granularity and error measurements across knowledge bases render the selection of appropriate distance measures for geo-spatial resources difficult. We address this challenge by evaluating existing literature for pointset measures that can be used to measure the similarity of vector geometries. Then, we present and evaluate the ten measures that we derived from the literature on samples of three real knowledge bases. The second challenge we address in this thesis is the lack of automatic Link Discovery (LD) approaches capable of dealing with geospatial knowledge bases with missing and erroneous data. To this end,we present Colibri, an unsupervised approach that allows discovering links between knowledge bases while improving the quality of the instance data in these knowledge bases. A Colibri iteration begins by generating links between knowledge bases. Then, the approach makes use of these links to detect resources with probably erroneous or missing information. This erroneous or missing infor- mation detected by the approach is finally corrected or added. The third challenge we address is the lack of scalable LD approaches for tackling big geo-spatial knowledge bases. Thus, we present Deterministic Particle-Swarm Optimization (DPSO), a novel load balancing technique for LD on parallel hardware based on particle-swarm optimization. We combine this approach with the Orchid algorithm for geo-spatial linking and evaluate it on real and artificial data sets. The lack of approaches for automatic updating of links of an evolving knowledge base is our fourth challenge. This challenge is addressed in this thesis by the Wombat algorithm. Wombat is a novel approach for the discovery of links between knowledge bases that relies exclusively on positive examples. Wombat is based on generalisation via an upward refinement operator to traverse the space of Link Specifications (LS). We study the theoretical characteristics of Wombat and evaluate it on different benchmark data sets. The last challenge addressed herein is the lack of automatic approaches for geo-spatial knowledge base enrichment. Thus, we propose Deer, a supervised learning approach based on a refinement operator for enriching Resource Description Framework (RDF) data sets. We show how we can use exemplary descriptions of enriched resources to generate accurate enrichment pipelines. We evaluate our approach against manually defined enrichment pipelines and show that our approach can learn accurate pipelines even when provided with a small number of training examples. Each of the proposed approaches is implemented and evaluated against state-of-the-art approaches on real and/or artificial data sets. Moreover, all approaches are peer-reviewed and published in a con- ference or a journal paper. Throughout this thesis, we detail the ideas, implementation and the evaluation of each of the approaches. Moreover, we discuss each approach and present lessons learned. Finally, we conclude this thesis by presenting a set of possible future extensions and use cases for each of the proposed approaches."}],"status":"public","type":"dissertation","keyword":["2016 group\\_aksw sys:relevantFor:geoknow sys:relevantFor:infai sys:relevantFor:bis ngonga simba dice sherif group\\_aksw geoknow deer lehmann MOLE"],"language":[{"iso":"eng"}],"_id":"29027","user_id":"67234","place":"Leipzig, Germany","year":"2016","citation":{"apa":"Sherif, M. (2016). <i>Automating Geospatial RDF Dataset Integration and Enrichment</i>. University of Leipzig.","bibtex":"@book{Sherif_2016, place={Leipzig, Germany}, title={Automating Geospatial RDF Dataset Integration and Enrichment}, publisher={University of Leipzig}, author={Sherif, Mohamed}, year={2016} }","short":"M. Sherif, Automating Geospatial RDF Dataset Integration and Enrichment, University of Leipzig, Leipzig, Germany, 2016.","mla":"Sherif, Mohamed. <i>Automating Geospatial RDF Dataset Integration and Enrichment</i>. University of Leipzig, 2016.","ama":"Sherif M. <i>Automating Geospatial RDF Dataset Integration and Enrichment</i>. University of Leipzig; 2016.","chicago":"Sherif, Mohamed. <i>Automating Geospatial RDF Dataset Integration and Enrichment</i>. Leipzig, Germany: University of Leipzig, 2016.","ieee":"M. Sherif, <i>Automating Geospatial RDF Dataset Integration and Enrichment</i>. Leipzig, Germany: University of Leipzig, 2016."},"title":"Automating Geospatial RDF Dataset Integration and Enrichment","main_file_link":[{"url":"https://www.qucosa.de/landing-page/?tx_dlf%5Bid%5D=https%3A%2F%2Fwww.qucosa.de%2Fapi%2Fqucosa%253A15175%2Fmets%2F&cHash=22c1b49c76de010dc4fb42260d8a1cf6","open_access":"1"}],"oa":"1","publisher":"University of Leipzig","date_updated":"2024-05-08T10:40:28Z","date_created":"2021-12-17T09:59:57Z","supervisor":[{"first_name":"Klaus-Peter ","last_name":"Fähnrich","full_name":"Fähnrich, Klaus-Peter "},{"full_name":"Lehmann, Jens ","last_name":"Lehmann","first_name":"Jens "}],"author":[{"first_name":"Mohamed","orcid":"https://orcid.org/0000-0002-9927-2203","last_name":"Sherif","full_name":"Sherif, Mohamed","id":"67234"}]}]