Semantic Web and Declarative Agent Languages and Technologies: Current and Future Trends ⋆ (Position Paper) Viviana Mascardi 1 , James Hendler 2 , and Laura Papaleo 3 1 DIBRIS, University of Genova, Italy viviana.mascardi@unige.it 2 Rensselaer Polytechnic Institute, Troy, NY, USA hendler@cs.rpi.edu 3 ICT Department, Provincia di Genova, Genova, Italy papaleo@disi.unige.it 1 Introduction One of the first discussions about a Web enriched with semantics and its re- lationships with artificial intelligence (and hence, with intelligent agents) dates back to 1998 [3], but it was only ten years ago that the idea of a Semantic Web on top of which agent-based computing would have allowed computer programs to interact with non-local web-based resources, became familiar to a wide audience of scientists [4,18]. Whereas in the beginning the Semantic Web was conceived as something that inevitably required some extra effort from the final users, it became soon clear that the exploitation of semantic features should have been less intrusive as possible, making semantic markup a by-product of normal computer use. Agents and ontologies are recognized as the right tools for managing infor- mation on the Web both by academic researchers [17], and by experts from the industry [27], and agent-based applications have been successfully deployed on top of the Semantic Web in many domains including multi-site software deve- lopment [40], health care [39], cultural heritage, education and learning 1 . The integration of Semantic Web concepts as first class entities inside agent languages, technologies, and engineering methodologies has different levels of maturity: many AOSE methodologies [20],[23],[22],[38], organizational models [10],[12],[16],[24],[37] and MAS architectures (for example the FIPA Ontology Service Specification, www.fipa.org/specs/fipa00086/ ) seamlessly integrate them, but few languages do. In this position paper we review the state of the art in the integration of se- mantic web concepts in declarative agent languages and technologies and outline what we expect to be the future trends of this research topic. ⋆ The work of the first author has been partially supported by the “Indiana MAS and the Digital Preservation of Rock Carvings” FIRB 2010 project, funded by the Italian Ministry of Education, Universities and Research. 1 Applications developed by the Finnish Semantic Computing Research Group (SeCo), http://www.seco.tkk.fi/ . M. Baldoni et al. (Eds.): DALT 2012, LNAI 7784, pp. 197–202, 2013. c  Springer-Verlag Berlin Heidelberg 2013