Li, Y.; Li, H.; Mädche, A. & Rau, P.-L. P.: Are You a Trustworthy Partner in a Cross-cultural Virtual Environment? - Behavioral Cultural Intelligence and Receptivity-based Trust in Virtual Collaboration. In: 4th ACM International Conference on Intercultural Collaboration (ICIC 2012), Bengaluru, India (2012),
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Globally distributed work has been prevalent in organizations. However, cultural issues in distributed work are still challenging team performance. Cultural intelligence, defined as individuals? capability to perform in cross-cultural settings, has great potential in untangling these issues. The present study examines three individual capabilities (behavioral cultural intelligence, language proficiency and technical skills) and their effects on partners? receptivity-based trust and satisfaction in a cross-cultural virtual environment. We develop a theoretical model based on the extended adaptive structuration theory (EAST) and verify the model in a cross-border experiment. The result suggests that focal members? behavioral cultural intelligence strongly influences their remote partners? receptivity/trust. This effect is moderated by language proficiency; 57% of the variance of partners? satisfaction is predicted by receptivity/trust and the focal members? technical skills.
Schacht, S.; Botzenhardt, A. & Maedche, A.: AskEris - A many-to-one communication platform for higher education. to appear in: Proceedings of the 45th Hawaii International Conference on System Sciences (HICSS 2012), Maui, Hawaii. 2012
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In recent years much research has been conducted examining the opportunities of using modern Web 2.0 applications in teaching. Today, wikis, forums, pod-casts or classical email communication are widely used media through which students can get in touch with their instructors or can discuss certain topics with each other. However, the usage of so-called many-to-one communication, where a number of persons transmit their messages to one recipient, has been considered only rarely. In this paper, we present AskEris ? an innovative many-to-one communication platform for higher education. It bases on previous investigations regarding various communication forms and their use in higher education. In this article, we describe its development and benefits. Finally, we provide insights into the evaluation of AskEris. Due to the positive results of this evaluation, AskEris was forwarded to the internal university computer center, which integrated AskEris into the university-wide document and communication platform.
Beimborn, D.; Maedche, A. & Mueller, B.: Editorial: Workshop on the Role of Platforms for
Enterprise Ecosystems (3EP). Procedings of the 41. Annual Conference of the Gemran Gesellschaft für Informatik (Informatik 2011), Lectures Notes Informatics (LNI P-191). 2011, S. 419-420
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Bloehdorn, S.; Blohm, S.; Cimiano, P.; Giesbrecht, E.; Hotho, A.; Lösch, U.; Maedche, A.; Mönch, E.; Sorg, P.; Staab, S. & Völker, J.: Combining Data-Driven and Semantic Approaches for Text Mining.. In: Fensel, D. (Hrsg.): Foundations for the Web of Information and Services. Springer, 2011, S. 115-142
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Botzenhardt, A.; Maedche, A. & Witt, A.: A Text Mining Application for Exploring the Voice of the Customer. Proceedings of the 17th Americas Conference on Information Systems (AMCIS 2011), Detroit, USA. 2011
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Involving customers into the development process is a well-known best practice for creating successful products. The classical process of direct customer contact is time consuming and does not scale. In the past decade we have seen a tremendous growth in digitally available textual sources in the form of emails or web-based data such as communities and alike. These large collections of unstructured content are containing relevant customer input, however, humans can only deal with a limited amount of unstructured content in a given time. To address this problem, the concept of text mining has been established to help humans processing large amounts of unstructured content. In this paper we present first results of a design science research project. We have developed a text mining software artifact for extracting the voice of the customer from unstructured content with the goal of supporting the product development process. The artifact has been piloted and evaluated within a case study that we have carried out in cooperation with a large enterprise software company.
Botzenhardt, A.; Meth, H. & Maedche, A.: Cross-Functional Integration of Product Management and Product Design in Application Software Development: Exploration of Success Factors. Proceedings of the 32nd International Conference on Information Systems (ICIS 2011), Shanghai, China. 2011
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The industrialization of application software development is a key trend in the software industry. One important element of industrialized development processes is the introduction of a division of work with specialized competencies. Cross-functional integration is a fundamental and well established concept in product development. Its potential has also been recognized in application software development. Many enterprise application software vendors have established product management to complement software development from a business perspective, while R&D primarily focuses on technology aspects. Due to the growing significance of usability and user experience, the product design function has become increasingly important for application software development. However, there is little empirical work concerning cross-functional integration of product management and product design in application software development. The work presented in this paper explores success factors of this cross-functional integration.
Botzenhardt, A.; Maedche, A. & Wiesner, J.: Developing a Domain Ontology for Software Product Management. Proceedings of the 5th International Workshop on Software Product Management (IWSPM-2011), Trento, Italy. IEEE Xplore, Digital Library, 2011
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Software product management has gained much attention in recent years for its positive influence on corporate success in software companies. However, despite its relevance and positive influence there is only little and vague guidance concerning software product management. There is no extensive body of knowledge as in Software Engineering or Project Management. The work presented in this paper aims at developing an adequate and precise conceptual representation of the software product management domain by means of creating a domain ontology. It defines domain-specific knowledge on a more fundamental level. The developed ontology captures basic aspects of the software product management domain and represents a reasonable approach to provide a common conceptual understanding of the domain.
Gass, O. & Maedche, A.: Enabling End-user-driven Data Interoperability - A Design Science Research Project. Proceedings of the 17th Americas Conference on Information Systems (AMCIS 2011), Detroit, USA. 2011
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Gass, O.; Krammer, C. & Maedche, A.: ReGIS - A Web Application Platform-based University Research Group Information System . to appear in: Proceedings of the 10th International Conference on Wirtschaftsinformatik (WI 2011), Zuerich, Switzerland. 2011
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Hadasch, F.; Mueller, B. & Maedche, A.: Leaking Confidential Information by Non-Malicious User Behavior in Enterprise Systems - Design of an Empirical Study. Proceedings of the 6. Mediterranean Conference on Information Systems (MCIS 2011), Cyprus. 2011
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Information assets of enterprises are vulnerable to theft and need to be protected to avoid information leakage to unauthorized parties. Technical countermeasures to protect confidential information fall to short, as information leaks can emerge from non-malicious behavior of users while they execute a business process in an Enterprise System. Our study investigates characteristics of security incidents in which users are authorized to access information in a secure domain, but cause information flow into an unsecure domain without any malicious objectives. We use a qualitative research method to explore the context, activities, and behaviors that lead to leakage of confidential information. We will collect empirical data in three sequential phases with interviews. In the first phase informants will be security consultants for Enterprise Systems, in the second phase company? s security managers will be interviewed and finally narratives are collected from end users. We employ the grounded theory approach to analyze the data and formulate the theoretical framework. The findings are expected to provide insights into the sources of confidential information leakage caused by non-malicious user behavior in Enterprise Systems.
Koppenhagen, N.; Katz, N.; Müller, B. & Mädche, A.: How Do Procurement Networks Become Social? Design Principles Evaluation in a Heterogeneous Environment of Structured and Unstructured Interactions. Proceedings of the International Conference on Information Systems (ICIS 2011), Shanghai, China. 2011
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Expanding procurement networks involving many countries, organizations and people impose challenges on procurement e-business systems. Firstly, the classic document ex- change based connection approach across company borderlines is still both time con- suming and costly. Secondly, today?s systems provide limited support for people net- working dimensions, combining structured and unstructured activities as part of the entire business process. We argue that the potential for accelerating the intra and inter firm procurement processes by addressing the challenges of integration and heteroge- neous activities is not sufficiently leveraged at present. In this paper, we present the re- sults of our design science research focusing on the evaluation of design principles along a software artifact, towards effects on procurement network performance.
Maedche, A.; Botzenhardt, A. & Schacht, S.: Enterprise Systems. In: WISU - Das Wirtschaftsstudium 40 (2011), Nr. 8-9, S. 1067-1069
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Botzenhardt, A.; Maedche, A. & Schloegel, C.: Introduction of Product Management in a Banking & Retail IT Solutions Company - An Experience Report. Proceedings of the 4th International Workshop on Software Product Management (IWSPM-2010), Sydney, Australia. IEEE Xplore, Digital Library, 2010
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The importance of product management in the software industry is widely recognized and has been empirically validated. Despite its importance, the maturity level of software product management in companies is still low and many companies struggle with the challenge of introducing product management. This paper describes an industry field report on a product management introduction project carried out in a banking & retail IT solutions company. We illustrate the initial situation as it was conceived prior to the product management introduction project, the approach pursued within the introduction project and the experience gathered during and after the project.
Botzenhardt, A. & Maedche, A.: Towards a Performance Measurement Reference Model for Software Product Management. Proceedings of the 4th International Workshop on Software Product Management (IWSPM-2010), Sydney, Australia. IEEE Xplore, Digital Library, 2010
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The success of any software company heavily depends on the quality and performance of its product management. Several researchers have focused on identifying and describing best-practice reference processes for software product management (SPM). Performance measurement is a pre-condition for process excellence. Therefore, it is crucial to establish an appropriate performance measurement for SPM. In this paper, we present our ongoing work with the goal of establishing performance measurement reference models for software product management.
Gaß, O. & Maedche, A.: Teaching the Transformation from Classical On-Premise towards On-Demand Enterprise Systems. In: Schumann, M.; Kolbe, L. M.; Breitner, M. H. & Frerichs, A. (Hrsg.): Proceedings of Multikonferenz Wirtschaftsinformatik (MKWI 2010). Goettingen: 2010
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Koppenhagen, N. & Maedche, A.: Towards Collaborative Procurement Network Enterprise Systems - A Design Science Research Project. Proceedings of Pre-ICIS 2010 Workshop on Enterprise Systems, Saint Louis, Missouri - USA - December 11 2010. 2010
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Krammer, C. & Maedche, A.: DecisionWave: Embedding Collaborative Decision Making Into Business Processes. Proceedings of the 12th International Conference on Enterprise Information Systems (ICEIS-2010), Funchal, Portugal. 2010
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Maedche, A.: An ERP-Centric Master Data Management Approach. Proceedings of the 16th Americas Conference on Information Systems (AMCIS), August 12th-15th 2010, Lima, Peru. 2010
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Meth, H. & Maedche, A.: User-centered requirements elicitation for Business Intelligence solutions. Tagungsband des Forschungskolloquiums Business Intelligence (FKBI10), Dresden, GI Fachgruppe 5.8 Management Support Systems, CEUR Workshop Proceedings. 2010
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Schacht, S. & Maedche, A.: Building Retired Employee Enterprise Communities. Proceedings of the 11th European Conference on Knowledge Management (ECKM 2010), 2-3 September, Famalicão, Portugal. 2010
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Schacht, S. & Maedche, A.: On Enterprise Information Systems addressing the Demographic Change. Proceedings of the 12th International Conference on Enterprise Information Systems (ICEIS-2010), Poster Presentation, Funchal, Portugal. 2010
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Kavalec, M.; Maedche, A. & Svatek, V.: Discovery of Lexical Entries for Non-taxonomic Relations in Ontology Learning. SOFSEM. Springer, 2004 (Lecture Notes in Computer Science 2932), S. 249-256
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Kavalec, M.; Maedche, A. & Svátek, V.: Discovery of Lexical Entries for Non-taxonomic Relations in Ontology Learning.. In: van Emde Boas, P.; Pokorný, J.; Bieliková, M. & Stuller, J. (Hrsg.): SOFSEM. Springer, 2004 (Lecture Notes in Computer Science 2932), S. 249-256
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Maedche, A. & Staab, S.: Ontology Learning. In: Staab, S. & Studer, R. (Hrsg.): Handbook on Ontologies. Springer, 2004International Handbooks on Information Systems , S. 173-190
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Stojanovic, L.; Schneider, J.; Maedche, A.; Libischer, S.; Studer, R.; Lumpp, T.; Abecker, A.; Breiter, G. & Dinger, J.: The role of ontologies in autonomic computing systems. In: IBM Systems Journal 43 (2004), Nr. 3,
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Ehrig, M. & Maedche, A.: Ontology-Focused Crawling of Web Documents. Proceedings of the Symposium on Applied Computing 2003 (SAC 2003). Melbourne, FL, USA: 2003, S. 1174-1178
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Hotho, A.; Maedche, A.; Staab, S. & Zacharias, V.: On Knowledgeable Unsupervised Text Mining. Text Mining. 2003, S. 131-152
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Maedche, A.; Motik, B.; Stojanovic, L.; Studer, R. & Volz, R.: An infrastructure for searching, reusing and evolving distributed ontologies. WWW. 2003, S. 439-448
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Maedche, A. & Staab, S.: KAON - The Karlsruhe Ontology and Semantic Web Meta Project. In: KI 17 (2003), Nr. 3, S. 27-
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Maedche, A.; Motik, B. & Stojanovic, L.: Managing multiple and distributed ontologies on the Semantic Web. In: VLDB Journal 12 (2003), Nr. 4, S. 286-302
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Maedche, A.; Motik, B.; Stojanovic, L.; Studer, R. & Volz, R.: Ontologies for enterprise knowledge management. In: Intelligent Systems, IEEE [see also IEEE Intelligent Systems and Their Applications] 18 (2003), Nr. 2, S. 26-33
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Several challenges exist related to applying ontologies in real-world environments. The authors present an integrated enterprise-knowledge management architecture, focusing on how to support multiple ontologies and manage ontology evolution.
Maedche, A.; Pekar, V. & Staab, S.: Ontology Learning Part One - On Discoverying Taxonomic Relations from the Web. In: Zhong, N.; Liu, J. & Yao, Y. (Hrsg.): Web Intelligence. Berlin: Springer, 2003, S. 301-320
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Maedche, A.; Staab, S.; Stojanovic, N.; Studer, R. & Sure, Y.: SEmantic portAL: The SEAL Approach. In: Fensel, D.; Hendler, J. A.; Lieberman, H. & Wahlster, W. (Hrsg.): Spinning the Semantic Web. MIT Press, 2003, S. 317-359
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Motik, B.; Volz, R. & Maedche, A.: Optimizing Query Answering in Description Logics using DisjunctiveDeductive Databases. KRDB Workshop Colocated with KI 2003. Hamburg, Germany: 2003
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Mädche, A. & Staab, S.: Services on the Move - Towards P2P-Enabled Semantic Web Services. Proceedings of the 10th International Conference on Information Technology and Travel & Tourism, ENTER 2003, Helsinki, Finland, 29th-31st January 2003. Springer, 2003
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Razmerita, L.; Angehrn, A. A. & Maedche, A.: Ontology-Based User Modeling for Knowledge Management Systems. In: Brusilovsky, P.; Corbett, A. T. & de Rosis, F. (Hrsg.): User Modeling. Springer, 2003 (Lecture Notes in Computer Science 2702), S. 213-217
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Staab, S.; van der Aalst, W.; Benjamins, V.; Sheth, A.; Miller, J.; Bussler, C.; Maedche, A.; Fensel, D. & Gannon, D.: Web services: been there, done that?. In: IEEE Intelligent Systems 18 (2003), S. 72- 85
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Web services can be defined as loosely coupled, reusable software components that semantically encapsulate discrete functionality and are distributed and programmatically accessible over standard Internet protocols. Web services have received a lot of hype, the reasons for which are not easily determined. Some of their benefits might even seem to waste away, once we touch on the nitty-gritty details, because Web services per se do not offer a solution to underlying problems. The contributions included in this section delve into some of these issues, including: pitfalls of workflow issues; structuring procedural knowledge into problem-solving methods; discussing how a low initial entry barrier and simple technology are balanced against the long-term goal of easy integration; including semantics in a Web service modeling framework; and building on new kinds of applications such as grid enterprises.
Stojanovic, L.; Maedche, A.; Stojanovic, N. & Studer, R.: Ontology evolution as reconfiguration-design problem solving. In: Gennari, J. H.; Porter, B. W. & Gil, Y. (Hrsg.): K-CAP. ACM, 2003, S. 162-171
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Volz, R.; Maedche, A.; Studer, R. & Lauser, B.: Pruning-based identification of a domain in ontologies. Proc. of I-KNOW'03. Graz, Austria: 2003
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Volz, R.; Studer, R.; Maedche, A. & Lauser, B.: Pruning-based Identification of Domain Ontologies.. In: Journal of Universal Computer Science 9 (2003), Nr. 6, S. 520-529
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Weiß, P. & Maedche, A.: Towards Adaptive Ontology-Based Virtual Business Networks. In: Camarinha-Matos, L. M. & Afsarmanesh, H. (Hrsg.): PRO-VE. Kluwer, 2003 (IFIP Conference Proceedings 262), S. 297-304
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Bussler, C.; Fensel, D. & Maedche, A.: A Conceptual Architecture for Semantic Web Enabled Web Services. In: SIGMOD Record, Special Issue on Semantic Web and Databases 31 (2002), Nr. 4, S. 24-29
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Fensel, D.; Bussler, C. & Maedche, A.: Semantic Web Enabled Web Services. In: Horrocks, I. & Hendler, J. A. (Hrsg.): International Semantic Web Conference. Springer, 2002 (Lecture Notes in Computer Science 2342), S. 1-2
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Hotho, A.; Maedche, A. & Staab, S.: Text Clustering Based on Good Aggregations. In: Künstliche Intelligenz (KI) 16 (2002), Nr. 4, S. 48-54
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Maedche, A. & Staab, S.: Applying Semantic Web Technologies for Tourism Information Systems. In: Wöber, K.; Frew, A. & Hitz, M. (Hrsg.): Proceedings of the 9th International Conference for Information and Communication Technologies in Tourism, ENTER 2002. Springer, 2002
[BibTeX]
Maedche; Neumann, G. & Staab, S.: Bootstrapping an ontology-based information extraction system . In: Intelligent Exploration of the Web (2002),
[BibTeX]
Maedche, A. & Zacharias, V.: Clustering ontology-based metadata in the semantic web. In: Elomaa, T.; Mannila, H. & Toivonen, H. T. T. (Hrsg.): 13th European Conference on Machine Learning (ECML'02) 6th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'02). Helsinki, Finland: 2002
[BibTeX]
Maedche, A. & Zacharias, V.: Clustering Ontology-Based Metadata in the Semantic Web. In: Elomaa, T.; Mannila, H. & Toivonen, H. (Hrsg.): Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery (PKDD 2002), August 19-23, 2002, Helsinki, Finland. Springer, Berlin--Heidelberg, Germany, 2002 (Lecture Notes in Computer Science 2431), S. 383-408
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Maedche, A. & Staab, S.: Computing Similarity between Ontologies. Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management, EKAW02. Berlin: Springer Verlag, 2002 (LNAI 2473)
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Information Integration and Mining in Databases and on the Web. Proceedings of the 2nd International Workshop on Databases, Documents, and Information Fusion (DBFusion 2002). CEUR Workshop Proceedings Aachen, 2002
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Maedche, A.; Motik, B.; Silva, N. & Volz, R.: MAFRA - A Mapping Framework for Distributed Ontologies. In: Gómez-Pérez, A. & Benjamins, V. (Hrsg.): Proc. of 13th European Conference on Knowledge Engineering and Knowledge Management (EKAW). Sigüenza, Spain: 2002
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Maedche, A.; Motik, B.; Stojanovic, L.; Studer, R. & Volz, R.: Managing Multiple Ontologies and Ontology Evolution in Ontologging. Proceedings of the Conference on Intelligent Information Processing, World Computer Congress 2002. Montreal, Canada: Kluwer Academic Publishers, 2002, S. 51-63
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Ontologging is an ontology-driven environment to enable next generation
knowledge management applications building on Semantic Web technology.
In this paper we first present the conceptual architecture underlying
Ontologging. Second, we focus on two important challenges for ontology-based
knowledge management, namely the supporting multiple ontologies and
managing ontology evolution. We will provide a general approach for
handling these two essential issues within the Ontologging architecture.
Maedche, A.; Pekar, V. & Staab, S.: Ontology Learning Part One - On Discoverying Taxonomic Relations
from the Web. In: et al. (eds), N. Z. (Hrsg.): Web Intelligence. Springer, 2002
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Maedche, A.; Ehrig, M.; Stojanovic, L.; Handschuh, S. & Volz, R.: Ontology-Focused Crawling of Documents and Relational Metadata. , 2002
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Maedche, A.; Staab, S.; Studer, R.; Sure, Y. & Volz, R.: SEAL - Tying Up Information Integration and Web Site Management by Ontologies. In: IEEE Data Eng. Bull. 25 (2002), Nr. 1, S. 10-17
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Maedche, A.: Semantikbasiertes Wissensmanagement - Eine Anwendung im Human Resource Management. In: Karlsruher Transfer (2002),
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Maedche, A.: Semantikbasiertes Wissensmanagement: Neue Wege für das Management von Wissenssammlungen. , 2002
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Maedche, A. & Weiß, P.: Towards Ontology-Based Smart Organizations.. In: Camarinha-Matos, L. M. (Hrsg.): PRO-VE. Kluwer, 2002 (IFIP Conference Proceedings 213)
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Maedche, A.: Web Information Tracking Using Ontologies. In: Karagiannis, D. & Reimer, U. (Hrsg.): PAKM. Springer, 2002 (Lecture Notes in Computer Science 2569), S. 201-212
[BibTeX]
Motik, B.; Maedche, A. & Volz, R.: A Conceptual Modeling Approach for building
semantics-driven enterprise applications. Proc. First International Conference on Ontologies, Databases and Application of Semantics (ODBASE-2002). 2002
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Mädche, A.: Ontology learning for the semantic Web. Boston [u.a.]: Kluwer, 2002Kluwer international series in engineering and computer science ; 665 , S. XXIII, 244 S.
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Staab, S.; Santini, S.; Nack, F.; Steels, L. & Maedche, A.: Emergent semantics. In: Intelligent Systems, IEEE [see also IEEE Expert] 17 (2002), Nr. 1, S. 78-86
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The article discusses ways to let semantics emerge from simple observations from the bottom-up, rather than imposing concepts on the observations top-down, to provide precise query, retrieval, communication or translation for a wide variety of applications. The following areas are examined: image retrieval and databases; media information spaces including the Semantic Web and MPEG frameworks; language games for emergent semantics; and emergent semantics for ontologies
Stojanovic, L.; Maedche, A.; Motik, B. & Stojanovic, N.: User-Driven Ontology Evolution Management. EKAW '02: Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management.. London, UK: Springer-Verlag, 2002, S. 285-300
[BibTeX]
Handschuh, S.; Staab, S. & Maedche, A.: CREAM -- Creating relational metadata with a component-based, ontology driven framework. In Proceedings of K-Cap 2001. Victoria, BC, Canada: 2001
[BibTeX]
Hotho, A.; Staab, S. & Maedche, A.: Ontology-based Text Clustering. Proc. of the Workshop "Text Learning: Beyond Supervision" at IJCAI 2001. Seattle, WA, USA: 2001
[BibTeX]
Hotho, A.; Maedche, A.; Staab, S. & Studer, R.: SEAL-II - The Soft Spot between Richly Structured and Unstructured Knowledge. In: Journal of Universal Computer Science 7 (2001), Nr. 7, S. 566-590
[BibTeX]
Hotho, A.; Maedche, A. & Staab, S.: Text Clustering Based on Good Aggregations.. In: Cercone, N.; Lin, T. Y. & Wu, X. (Hrsg.): Int. Conference on Data Mining (ICDM-2001). IEEE Computer Society, 2001, S. 607-608
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Klettke, M.; Bietz, M.; Bruder, I.; Heuer, A.; Priebe, D.; Neumann, G.; Becker, M.; Bedersdorfer, J.; Uszkoreit, H.; Maedche, A.; Staab, S. & Studer, R.: GETESS - Ontologien, objektrelationale Datenbanken und Textanalyse als Bausteine einer Semantischen Suchmaschine.. In: Datenbank-Spektrum 1 (2001), S. 14-24
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IJCAI'2001 Workshop on Ontology Learning, Proceedings of
the Second Workshop on Ontology Learning OL'2001, Seattle,
USA, August 4, 2001 (Held in conjunction with the 17th International
Conference on Artificial Intelligence IJCAI'2001). CEUR Workshop Proceedings , 2001
[BibTeX]
Maedche, A.; Staab, S. & Studer, R.: Ontologien.. In: Wirtschaftsinformatik 43 (2001), Nr. 4, S. 393-396
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Maedche, A. & Staab, S.: Ontology Learning for the Semantic Web. In: IEEE Intelligent Systems 16 (2001), Nr. 2, S. 72-79
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Maedche, A.; Staab, S.; Stojanovic, N.; Studer, R. & Sure, Y.: SEAL - A Framework for Developing SEmantic portALs. BNCOD 2001 - 18th British National Conference on Databases, Oxford, UK, 9th - 11th July 2001. LNCS, Springer Verlag, 2001
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Maedche, A. & Volz, R.: The Ontology Extraction Maintenance Framework Text-To-Onto. Proceedings of the IEEE International Conference on Data Mining. California, USA: 2001
[BibTeX]
Maedche, A. & Volz, R.: The Text-To-Onto Ontology Extraction and Maintenance System. Workshop on Integrating Data Mining and Knowledge Management co-located with the 1st International Conference on Data Mining. San Jose, California, USA: 2001
[BibTeX]
Staab, S.; Maedche, A. & Handschuh, S.: An Annotation Framework for the Semantic Web. Proceedings of the First Workshop on Multimedia Annotation, Tokyo, Japan, January 30-31, 2001. 2001
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Staab, S. & Maedche, A.: Knowledge portals: Ontologies at Work. In: AI Magazine 21 (2001), Nr. 2, S. 63-75
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Knowledge portals provide views onto domain-specific information on the World Wide Web, thus facilitating their users to find relevant, domain-specific information. The construction of intelligent access and the provisioning of information to knowledge portals, however, remained an ad hoc task requiring extensive manual editing and maintenance by the knowledge portal providers. In order to diminish these efforts we use ontologies as a conceptual backbone for providing, accessing and...
Staab, S.; Erdmann, M. & Maedche, A.: Ontologies in RDF(S). In: ETAI Journal (Linkoeping Electronic Articles in Computer and Information Science) -- Section on Semantic Web 9 (2001), Nr. 6,
[BibTeX]
Stojanovic, N.; Maedche, A.; Staab, S.; Studer, R. & Sure, Y.: SEAL: a framework for developing SEmantic PortALs. K-CAP. ACM, 2001, S. 155-162
[BibTeX]
Stumme, G. & Maedche, A.: FCA-Merge: Bottom-Up Merging of Ontologies.. In: Nebel, B. (Hrsg.): Proc. 17th Intl. Conf. on Artificial Intelligence (IJCAI '01). Seattle, WA, USA: 2001, S. 225-230
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Stumme, G. & Maedche, A.: Ontology Merging for Federated Ontologies for the Semantic Web. Proc. Intl. Workshop on Foundations of Models for Information Integration, Viterbo, Italy, Sept. 16-18, 2001. LNAI, Springer 2001, 2001
[BibTeX]
Erdmann, M.; Maedche, A.; Schnurr, H. & Staab, S.: From manual to semi-automatic semantic nnotation: About ontology-based text annotation tools. In: ETAI Journal - Section on Semantic Web (2000),
[Volltext]
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Kietz, J.; Maedche, A. & Volz, R.: A method for semi-automatic ontology acquisition from a corporate intranet. In: EKAW-2000 Workshop ?Ontologies and Text?, Juan-Les-Pins, France, October 2000 (2000),
[BibTeX]
Maedche, A. & Staab, S.: Discovering Conceptual Relations from Text. Proc. of the 14th European Conference on Artificial Intelligenceand Berlinand August 21-25. IOS Press, 2000, S. 321-325
[BibTeX]
Maedche, A.; Hotho, A. & Wiese, M.: Enhancing Preprocessing in Data-Intensive Domains using
Online-Analytical Processing. Data Warehousing and Knowledge Discovery, Second International Conference, DaWaK 2000, London, UK. Springer, 2000 (LNCS 1874), S. 258-264
[BibTeX]
Maedche, A. & Staab, S.: Mining Ontologies from Text. In: Dieng, R. & Corby, O. (Hrsg.): Knowledge Acquisition, Modeling and Management, Proceeedings of the 12th International Conference, EKAW 2000, Juan-les-Pins, France, October 2-6, 2000, Proceedings. Springer, 2000 (Lecture Notes in Computer Science 1937), S. 189-202
[BibTeX]
Maedche, A. & Staab, S.: Ontology Learning from Text. NLDB. 2000, S. 364
[BibTeX]
Maedche, A.; Schnurr, H.-P.; Staab, S. & Studer, R.: Representation Language-Neutral Modeling of Ontologies. In: Frank (Hrsg.): Proceedings of the German Workshop "Modellierung-2000". Koblenz, Germany, April, 5-7, 2000. Fölbach-Verlag, 2000
[BibTeX]
Maedche, A. & Staab, S.: Semi-Automatic Engineering of Ontologies from Text. Proceedings of the 12th Internal Conference on Software and Knowledge Engineering. Chicago, USA, July, 5-7, 2000. KSI, 2000
[BibTeX]
Staab, S.; Angele, Jü.; Decker, S.; Hotho, A.; Maedche, A.; Schnurr, H.-P.; Studer, R. & Sure, Y.: AI for the Web - Ontology-based Community Web Portals. AAAI 2000/IAAI 2000 - Proceedings of the 17th National Conference on Artificial Intelligence and 12th Innovative Applications of Artificial Intelligence Conference, Austin/TX, USA, July 30-August 3, 2000. AAAI Press/MIT Press, 2000
[Volltext]
[BibTeX]
Staab, S.; Erdmann, M.; Maedche, A. & Decker, S.: An extensible approach for Modeling Ontologies in RDF(S). Proceedings of the ECDL-2000 Workshop ``Semantic Web: Models, Architectures and Management'', Lisbon, September 21, 2000. 2000
[BibTeX]
Staab, S. & Mädche, A.: Axioms are Objects, too - Ontology Engineering beyond the
Modeling of Concepts and Relations. In: Benjamins, V.; Gomez-Perez, A. & Guarino, N. (Hrsg.): Proceedings of the Workshop on Applications of Ontologies and Problem-solving Methods, 14th European Conference on Artificial Intelligence ECAI 2000, Berlin, Germany. 2000
[BibTeX]
ECAI'2000 Workshop on Ontology Learning, Proceedings of the First Workshop on Ontology Learning OL'2000, Berlin, Germany, August 25, 2000. Held in conjunction with the 14th European Conference on Artificial Intelligence ECAI'2000, Berlin, Germany. CEUR Workshop Proceedings , 2000
[BibTeX]
Staab, S.; Angele, J.; Decker, S.; Erdmann, M.; Hotho, A.; Maedche, A.; Schnurr, H.-P.; Studer, R. & Sure, Y.: Semantic community Web portals. In: Comput. Netw. 33 (2000), Nr. 1-6, S. 473-491
[Volltext]
[BibTeX]
Staab, S.; Erdmann, M. & Maedche, A.: Semantic Patterns. , 2000
[BibTeX]
Sure, Y.; Maedche, A. & Staab, S.: Leveraging Corporate Skill Knowledge - From ProPer to OntoProper. In: Mahling, D. & Reimer, U. (Hrsg.): Proceedings of the Third International Conference on Practical Aspects of Knowledge Management. Basel, Switzerland, October 30-31, 2000. 2000
[BibTeX]
Maedche, A.: Anwendung statistischer Verfahren und Data Mining in einem prozessorientierten Knowledge Discovery aus Daten. University of Karlsruhe, 1999
[BibTeX]
Staab, S.; Braun, C.; Düsterhöft, A.; Heuer, A.; Klettke, M.; Melzig, S.; Neumann, G.; Prager, B.; Pretzel, J.; Schnurr, H.-P.; Studer, R.; Uszkoreit, H. & Wrenger, B.: GETESS -- Searching the Web Exploiting German Texts. Proceedings of the 3rd Workshop on Cooperative Information Agents. Berlin: Springer, 1999LNCS
[BibTeX]
Schneider, W. & Maedche, A.: Rechnergestützte Tourenplanungssysteme. In: Technical Report WIOR-503, Institute for Decision Support and Operations Research, University of Karlsruhe (1997),
[BibTeX]
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