KRAFT: knowledge fusion from distributed databases and knowledge bases

Gray, Peter; Preece, Alun; Fiddian, N. J.; Gray, W. A.; Bench‐Capon, Trevor; Shave, Michael J. R.; Azarmi, N.; Wiegand, I.; Ashwell, M.; Beer, Martin; Cui, Zhan; Diaz, Bernard M.; Embury, Suzanne M.; Hui, Kit; Jones, Andy; Jones, Dean M.; Kemp, Graham; Lawson, E.W.; Lunn, K; Marti, Philippe; Shao, Jianhua; Visser, Pepijn R. S.

doi:10.1109/dexa.1997.617411

Cited by 42 publications

(20 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…KRAFT (Knowledge Reuse & Fusion/Transformation), [36] was set up by the universities of Aberdeen, Cardiff and Liverpool in collaboration with British Telecom. Its main proposal is to research the possibility of sharing and reusing information contained in databases and heterogeneous knowledge systems.…”

Section: Previous Projects On Information Integration -A Short Reviewmentioning

confidence: 99%

A methodology for the semi-automatic creation of data-driven detailed business ontologies

Paredes-Moreno

Martínez–López

Schwartz

2010

Information Systems

View full text Add to dashboard Cite

Section: Previous Projects On Information Integration -A Short Reviewmentioning

confidence: 99%

A methodology for the semi-automatic creation of data-driven detailed business ontologies

Paredes-Moreno

Martínez–López

Schwartz

2010

Information Systems

View full text Add to dashboard Cite

“…Contemporary environment with open information systems KRAFT is conceived to investigate how existing proposals for distributed information systems architectures can support fusion of knowledge in the form of constraints expressed against an object data model (Gray et al, 1997). The literature on knowledge fusion in the field of computer science has explored the role of KMS in knowledge storage, sharing, reuse, revealing, generation, entry, integration, transportation, search and indexing (Preece et al, 2001;Smimov et al, 2013).…”

Section: Contemporary Research Themesmentioning

confidence: 99%

An Evaluation of the Challenges of Multilingualism in Data Warehouse Development

Dediź

Stanier

2016

Proceedings of the 18th International Conference on Enterprise Information Systems

View full text Add to dashboard Cite

ICEIS 2016 received 257 paper submissions from 42 countries in all continents, which makes it one of the largest conferences in the World in the area of Information Systems, thus demonstrating the success and global dimension of this conference. From these, 42 papers were selected for publication and presentation at the Conference as full papers. These numbers, leading to a full-paper acceptance ratio of 16%, show the intention of preserving a high quality forum for this conference, a quality that we intend to maintain in the future, for the next editions of this conference.The high number and high quality of the received papers imposed difficult choices in the selection process. To evaluate each submission, a double blind paper review was performed by the Program Committee, whose members are highly qualified researchers in ICEIS topic areas.All presented papers will be available at the SCITEPRESS Digital Library and will be submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (ISI), INSPEC, DBLP, EI (Elsevier Index) and Scopus.Additionally, a short list of presented papers will be selected to be expanded into a forthcoming book of ICEIS 2016 Selected Papers to be published by Springer in the LNBIP Series.The technical program of the conference included a panel and 4 invited talks delivered by internationally distinguished speakers, namely: Claudia Loebbecke (University of Cologne, Germany), Sergio Gusmeroli (TXT e-solutions SPA, Italy), Wil Van Der Aalst (Technische Universiteit Eindhoven, Netherlands) and Jan Vom Brocke (University of Liechtenstein, Liechtenstein). Their participation positively contributes to reinforce the overall quality of the Conference and to provide a deeper understanding of the fields addressed by the conference.Moreover, ICEIS 2016 had a Doctoral Consortium on Enterprise Information Systems and 1 tutorial. We are thankful to the Conference Co-chairs (Olivier Camp and José Cordeiro) and Program Co-chairs (Slimane Hammoudi, Leszek Maciaszek and Michele M. Missikoff) for their dedication and hard work in organizing these events.We sincerely thank all the authors for their submissions and participation in ICEIS 2016. Furthermore, we would like to thank all the members of the program committee and reviewers, who helped us with their expertise, dedication and time. We would also like to thank the invited speakers for their excellent contribution in sharing their knowledge and vision and the workshop/special session chairs whose collaboration with ICEIS 2015 was much appreciated. Finally, we gratefully acknowledge the professional support of the ICEIS 2016 team for all organizational processes. XIIIWe hope that all colleagues find this a fruitful and inspiring conference. We hope to contribute to the development of the Enterprise Information Systems community and look forward to having additional research results presented at the next edition of ICEIS, details of which are available at http://www.iceis.org. Slimane Hammoudi University of Cologne, GermanyAbstract:...

show abstract

“…As well as being an ontology merging tool, IMPS is also a multi-agent implementation making use of networked resources. In Crow (2000), we situate IMPS with respect to other agent architectures for information retrieval and fusion [looking speci"cally at InfoSleuth (Nodine, Fowler & Perry, 1998), RETSINA (Sycara, 1999), SIMS (Knoblock & Ambite, 1997), Ariadne (Knoblock et al, 1998) and KRAFT (Gray et al, 1997)]. Although the aim of these systems may be slightly di!erent from that of IMPS, we hope to "nd areas of consensus in the architectures and interaction mechanisms that are successful in supporting a web-based information agent architecture, and also to examine more sophisticated agent systems to guide the future development of the IMPS agent model.…”

mentioning

confidence: 99%