de Bruijn, J.; Lausen, H.; Polleres, A. & Fensel, D.: The Web Service Modeling Language WSML: An Overview.. ESWC. 2006, S. 590-604
@inproceedings{DBLP:conf/esws/BruijnLPF06,
author = {de Bruijn, Jos and Lausen, Holger and Polleres, Axel and Fensel, Dieter},
title = {The Web Service Modeling Language WSML: An Overview.},
booktitle = {ESWC},
year = {2006},
pages = {590-604},
keywords = {european, services, proceedings, 2006, semantic, conference, eswc, web}
}
Fensel, D. & Harmelen, F. V.: Unifying Reasoning and Search to Web Scale. In: IEEE Internet Computing 11 (2007), Nr. 2, S. 94-96
[Volltext]
@article{fensel2007,
author = {Fensel, Dieter and Harmelen, Frank Van},
title = {Unifying Reasoning and Search to Web Scale},
journal = {IEEE Internet Computing},
year = {2007},
volume = {11},
number = {2},
pages = {94--96},
url = {http://www.cs.vu.nl/~frankh/postscript/IEEE-IC07.pdf},
keywords = {scale, semantic, search, toread, web}
}
Benjamins, V. R.; Davies, J.; Baeza-Yates, R.; Mika, P.; Zaragoza, H.; Greaves, M.; Gomez-Perez, J. M.; Contreras, J.; Domingue, J. & Fensel, D.: Near-Term Prospects for Semantic Technologies. In: Intelligent Systems 23 (2008), Nr. 1, S. 76-88
The Semantic Web has recently been enjoying significant investment
n research, start-ups, and commercial projects. In this installment
f Trends and Controversies, several experts discuss what they hope
emantic technology will accomplish in the near future.
@article{BenjaminsDaviesEtAl08intelligent,
author = {Benjamins, V. Richard and Davies, John and Baeza-Yates, Ricardo and Mika, Peter and Zaragoza, Hugo and Greaves, Mark and Gomez-Perez, Jose Manuel and Contreras, Jesus and Domingue, John and Fensel, Dieter},
title = {Near-Term Prospects for Semantic Technologies},
journal = {Intelligent Systems},
year = {2008},
volume = {23},
number = {1},
pages = {76-88},
doi = {10.1109/MIS.2008.10},
keywords = {generation, 2.0, 3.0, semantic, next, web},
abstract = {The Semantic Web has recently been enjoying significant investment
n research, start-ups, and commercial projects. In this installment
f Trends and Controversies, several experts discuss what they hope
emantic technology will accomplish in the near future.}
}
Studer, R.; Benjamins, R. R. & Fensel, D.: Knowledge Engineering: Principles and Methods. In: Data Knowledge Engineering 25 (1998), Nr. 1-2, S. 161-197
[Volltext]
This paper gives an overview about the development of the field of Knowledge Engineering over the last 15 years. We discuss the paradigm shift from a transfer view to a modeling view and describe two approaches which considerably shaped research in Knowledge Engineering: Role-limiting Methods and Generic Tasks. To illustrate various concepts and methods which evolved in the last years we describe three modeling frameworks: CommonKADS, MIKE, and PROTÉGÉ-II. This description is supplemented by discussing some important methodological developments in more detail: specification languages for knowledge-based systems, problem-solving methods, and ontologies. We conclude with outlining the relationship of Knowledge Engineering to Software Engineering, Information Integration and Knowledge Management.
@article{studer1998knowledge,
author = {Studer, Rudi and Benjamins, Richard R. and Fensel, Dieter},
title = {Knowledge Engineering: Principles and Methods},
journal = {Data Knowledge Engineering},
year = {1998},
volume = {25},
number = {1-2},
pages = {161--197},
url = {http://www.cs.toronto.edu/~nernst/papers/studer98knowledge.pdf},
keywords = {definition, ontology_learning, knowledge_engineering},
abstract = {This paper gives an overview about the development of the field of Knowledge Engineering over the last 15 years. We discuss the paradigm shift from a transfer view to a modeling view and describe two approaches which considerably shaped research in Knowledge Engineering: Role-limiting Methods and Generic Tasks. To illustrate various concepts and methods which evolved in the last years we describe three modeling frameworks: CommonKADS, MIKE, and PROTÉGÉ-II. This description is supplemented by discussing some important methodological developments in more detail: specification languages for knowledge-based systems, problem-solving methods, and ontologies. We conclude with outlining the relationship of Knowledge Engineering to Software Engineering, Information Integration and Knowledge Management.}
}