TY - JOUR AU - Benjamins, V. Richard AU - Davies, John AU - Baeza-Yates, Ricardo AU - Mika, Peter AU - Zaragoza, Hugo AU - Greaves, Mark AU - Gomez-Perez, Jose Manuel AU - Contreras, Jesus AU - Domingue, John AU - Fensel, Dieter T1 - Near-Term Prospects for Semantic Technologies JO - Intelligent Systems PY - 2008/ VL - 23 IS - 1 SP - 76 EP - 88 UR - M3 - 10.1109/MIS.2008.10 KW - generation KW - 2.0 KW - 3.0 KW - semantic KW - next KW - web L1 - SN - N1 - N1 - AB - The Semantic Web has recently been enjoying significant investment

in research, start-ups, and commercial projects. In this installment

of Trends and Controversies, several experts discuss what they hope

semantic technology will accomplish in the near future. ER - TY - JOUR AU - Fensel, Dieter AU - Harmelen, Frank Van T1 - Unifying Reasoning and Search to Web Scale JO - IEEE Internet Computing PY - 2007/march/april VL - 11 IS - 2 SP - 94 EP - 96 UR - http://www.cs.vu.nl/~frankh/postscript/IEEE-IC07.pdf M3 - KW - scale KW - semantic KW - search KW - toread KW - web L1 - SN - N1 - Unifying Reasoning and Search to Web Scale N1 - AB - ER - TY - CONF AU - de Bruijn, Jos AU - Lausen, Holger AU - Polleres, Axel AU - Fensel, Dieter A2 - T1 - The Web Service Modeling Language WSML: An Overview. T2 - ESWC PB - CY - PY - 2006/ M2 - VL - IS - SP - 590 EP - 604 UR - M3 - KW - european KW - services KW - proceedings KW - 2006 KW - semantic KW - conference KW - eswc KW - web L1 - SN - N1 - DBLP Record 'conf/esws/BruijnLPF06' N1 - AB - ER - TY - JOUR AU - Studer, Rudi AU - Benjamins, Richard R. AU - Fensel, Dieter T1 - Knowledge Engineering: Principles and Methods JO - Data Knowledge Engineering PY - 1998/ VL - 25 IS - 1-2 SP - 161 EP - 197 UR - http://www.cs.toronto.edu/~nernst/papers/studer98knowledge.pdf M3 - KW - definition KW - ontology_learning KW - knowledge_engineering L1 - SN - N1 - sdasda N1 - AB - 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. ER -