@inproceedings{55917,
  abstract     = {{This work takes steps towards situating the concepts relevant to explanation and understanding in explanatory interactions within the scope of Basic Formal Ontology. We introduce novel ontological accounts of understanding and explanation in BFO-terms, which foster a shared conceptualization of explanations and explainee's understanding during explainer-explainee interactions. This approach also enables the tracking of different aspects of understanding and explanation through cognitive profiling of various measurable aspects under the heading of process profile in BFO. Additionally, we differentiate between the private mental process of understanding and understanding displays. Finally, we characterize the relationship between understanding displays and explanations.}},
  author       = {{Booshehri, Meisam and Buschmeier, Hendrik and Cimiano, Philipp}},
  booktitle    = {{Proceedings of the 4th International Workshop on Data Meets Applied Ontologies in Explainable AI (DAO-XAI)}},
  issn         = {{1613-0073}},
  location     = {{Santiago de Compostela, Spain}},
  publisher    = {{International Association for Ontology and its Applications}},
  title        = {{{Towards a BFO-based ontology of understanding in explanatory interactions}}},
  year         = {{2024}},
}

@inproceedings{51209,
  author       = {{Hanselle, Jonas Manuel and Kornowicz, Jaroslaw and Heid, Stefan and Thommes, Kirsten and Hüllermeier, Eyke}},
  booktitle    = {{LWDA’23: Learning, Knowledge, Data, Analysis. }},
  editor       = {{Leyer, M and Wichmann, J}},
  issn         = {{1613-0073}},
  title        = {{{Comparing Humans and Algorithms in Feature Ranking: A Case-Study in the Medical Domain}}},
  year         = {{2023}},
}

@article{15605,
  author       = {{Jovanovikj, Ivan and Yigitbas, Enes and Sauer, Stefan and Engels, Gregor}},
  issn         = {{1613-0073}},
  journal      = {{Software Engineering 2020 Workshopband}},
  location     = {{Innscbruck}},
  title        = {{{Test Case Co-Migration Method Patterns}}},
  year         = {{2020}},
}

@inproceedings{4349,
  abstract     = {{Physician Review Websites allow users to evaluate their experiences with health services. As these evaluations are regularly contextualized with facts from users’ private lives, they often accidentally disclose personal information on the Web. This poses a serious threat to users’ privacy. In this paper, we report on early work in progress on “Text Broom”, a tool to detect privacy breaches in user-generated texts. For this purpose, we conceptualize a pipeline which combines methods of Natural Language Processing such as Named Entity Recognition, linguistic patterns and domain-specific Machine Learning approaches which have the potential to recognize privacy violations with wide coverage. A prototypical web application is openly accesible.}},
  author       = {{Bäumer, Frederik Simon and Kersting, Joschka and Orlikowski, Matthias and Geierhos, Michaela}},
  booktitle    = {{Proceedings of the Posters and Demos Track of the 14th International Conference on Semantic Systems co-located with the 14th International Conference on Semantic Systems (SEMANTiCS 2018)}},
  editor       = {{Khalili, Ali and Koutraki, Maria}},
  issn         = {{1613-0073}},
  keywords     = {{Detection of Privacy Violations, Physician Reviews}},
  location     = {{Vienna, Austria}},
  publisher    = {{CEUR-WS.org}},
  title        = {{{Towards a Multi-Stage Approach to Detect Privacy Breaches in Physician Reviews}}},
  volume       = {{2198}},
  year         = {{2018}},
}

@inproceedings{1181,
  abstract     = {{The main idea in On-The-Fly Computing is to automatically compose existing software services according to the wishes of end-users. However, since user requirements are often ambiguous, vague and incomplete, the selection and composition of suitable software services is a challanging task. In this paper, we present our current approach to improve requirement descriptions before they are used for software composition. This procedure is fully automated, but also has limitations, for example, if necessary information is missing. In addition, and in response to the limitations, we provide insights into our above-mentioned current work that combines the existing optimization approach with a
chatbot solution.}},
  author       = {{Bäumer, Frederik Simon and Geierhos, Michaela}},
  booktitle    = {{Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies Track, and Poster Track co-located with the 23rd International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2018)}},
  editor       = {{Schmid, Klaus and Spoletini, Paola and Ben Charrada, Eya and Chisik, Yoram and Dalpiaz, Fabiano and Ferrari, Alessio and Forbrig, Peter and Franch, Xavier and Kirikova, Marite and Madhavji, Nazim and Palomares, Cristina and Ralyté, Jolita and Sabetzadeh, Mehrdad and Sawyer, Pete and van der Linden, Dirk and Zamansky, Anna}},
  issn         = {{1613-0073}},
  location     = {{Utrecht, The Netherlands}},
  publisher    = {{CEUR-WS.org}},
  title        = {{{How to Deal with Inaccurate Service Requirements? Insights in Our Current Approach and New Ideas}}},
  volume       = {{2075}},
  year         = {{2018}},
}

@inproceedings{1182,
  abstract     = {{Natural language requirement descriptions are often unstructured, contradictory and incomplete and are therefore challenging for automatic processing. Although many of these deficits can be compensated by means of Natural Language Processing, there still remain cases where interaction with end-users is necessary for clarification. In this paper, we present our idea of using chatbot technology to establish end-user communication in order to support the automatic compensation of some deficits in natural language requirement descriptions.}},
  author       = {{Friesen, Edwin and Bäumer, Frederik Simon and Geierhos, Michaela}},
  booktitle    = {{Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies Track, and Poster Track co-located with the 23rd International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2018)}},
  editor       = {{Schmid, Klaus  and Spoletini, Paola  and Ben Charrada, Eya  and Chisik, Yoram  and Dalpiaz, Fabiano  and Ferrari, Alessio  and Forbrig, Peter  and Franch, Xavier  and Kirikova, Marite  and Madhavji, Nazim  and Palomares, Cristina  and Ralyté, Jolita  and Sabetzadeh, Mehrdad  and Sawyer, Pete  and van der Linden, Dirk  and Zamansky, Anna }},
  issn         = {{1613-0073}},
  location     = {{Utrecht, The Netherlands}},
  publisher    = {{CEUR-WS.org}},
  title        = {{{CORDULA: Software Requirements Extraction Utilizing Chatbot as Communication Interface}}},
  volume       = {{2075}},
  year         = {{2018}},
}

@inproceedings{1183,
  abstract     = {{As our world grows in complexity, companies and employees alike need, more than ever before, solutions tailored to their exact needs. Since such tools cannot always be purchased off-the-shelf and need to be designed from the ground up, developers rely on software requirements. In this paper, we present our vision of a syntactic rule-based extraction
tool for software requirements specification documents. In contrast to other methods, our tool will allow stakeholders to express their needs and wishes in unfiltered natural language, which we believe is essential for non-expert users.}},
  author       = {{Caron, Matthew and Bäumer, Frederik Simon and Geierhos, Michaela}},
  booktitle    = {{Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies Track, and Poster Track co-located with the 23rd International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2018)}},
  editor       = {{Schmid, Klaus and Spoletini, Paola and Ben Charrada, Eya and Chisik, Yoram and Dalpiaz, Fabiano and Ferrari, Alessio and Forbrig, Peter and Franch, Xavier and Kirikova, Marite and Madhavji, Nazim and Palomares, Cristina and Ralyté, Jolita and Sabetzadeh, Mehrdad and Sawyer, Pete and van der Linden, Dirk and Zamansky, Anna}},
  issn         = {{1613-0073}},
  location     = {{Utrecht, The Netherlands}},
  publisher    = {{CEUR-WS.org}},
  title        = {{{Back to Basics: Extracting Software Requirements with a Syntactic Approach}}},
  volume       = {{2075}},
  year         = {{2018}},
}

@inproceedings{25604,
  author       = {{Baeumer, Frederik Simon and Gim, Jangwon and Jeong, Do-Heon and Geierhos, Michaela and Jung, Hanmin}},
  booktitle    = {{Proceedings of the First International Workshop on Patent Mining and Its Applications (IPAMIN) 2014}},
  editor       = {{Jung, Hanmin and  Mandl, Thomas and Womsen-Hacker, Christa and Xu, Shuo}},
  issn         = {{1613-0073}},
  title        = {{{Linked Open Data System for Scientific Data Sets}}},
  volume       = {{1292}},
  year         = {{2014}},
}

@inproceedings{15559,
  author       = {{Hagengruber, Ruth}},
  booktitle    = {{Professional Knowledge Management Experiences and Visions. 3rd Conference WM}},
  editor       = {{Althoff, Klaus-Dieter}},
  issn         = {{1613-0073}},
  location     = {{Berlin}},
  title        = {{{Mapping the Multitude. Categories in a Process Ontology}}},
  year         = {{2005}},
}