publications([{ "lang": "en", "publisher": "Springer", "type_publi": "ouvrage", "title": "Semantic Models for Adaptive Interactive Systems", "bibtype": "book", "abstract": "Semantic technologies and, in particular, ontologies as formal and shareable representations\r\nof a domain play an increasingly important role in computer science,\r\nespecially for the design, development and execution of interactive systems. Semantic\r\nmodels can serve a number of different purposes in this context. They can be\r\nused as functional core or user interface models in model-driven analysis, design,\r\ngeneration, and adaptation of user interfaces.\r\nOntologies may enhance the functional coverage of an interactive system as well\r\nas its visualization and interaction capabilities in various ways, e.g., by providing\r\ninput assistance, intelligently clustering information, guiding collaborative interaction,\r\nor adapting the user interface according to the user’s context. Especially in\r\nthe latter case, ontologies can be applied for representing the various kinds of context\r\ninformation for context-aware and adaptive systems. In particular, they have\r\npromised to provide a technique for representing external physical context factors\r\nsuch as location, time or technical parameters, as well as “internal” context such as\r\nuser interest profiles or interaction context in a consistent, generalized manner. Owing\r\nto these properties, semantic models can also contribute to bridging gaps, e.g.,\r\nbetween user models, context-aware interfaces and model-driven UI generation.\r\nThere is, therefore, a considerable potential for using semantic models as a basis\r\nfor adaptive interactive systems. The range of potential adaptations is wide comprising,\r\nfor example, context- and user-dependent recommendations, interactive assistance\r\nwhen performing application-specific tasks, adaptation of the application\r\nfunctionality, adaptation of the collaboration process, or adaptive retrieval support.\r\nFurthermore, a variety of reasoning and machine learning techniques exist, that can\r\nbe employed to achieve adaptive system behavior. Last, but not least, the advent and\r\nrapid growth of Linked Open Data as a large-scale collection of semantic data has\r\npaved the way for a new breed of intelligent, knowledge-intensive applications.\r\nTo explore that potential, we have established a workshop series called Semantic\r\nModels for Adaptive Interactive Systems (SEMAIS). The workshop had its debut\r\nat the ACM Intelligent User Interfaces conference in Hong Kong in 2010, and was\r\nfollowed by two subsequent editions in Palo Alto in 2011, and in Lisbon in 2012. At\r\nthe workshop, we have seen cutting edge research spanning from the employment of semantic models in the development and generation of interactive systems to novel\r\ninteraction paradigms and applications for semantic data.\r\nThis book collects enhanced, revised, and updated versions of the best papers\r\nsubmitted to the three workshops editions, as well as additional original contributions.\r\nIt provides insights into methodologies for designing adaptive systems based\r\non semantic data, introduces models that can be used for building interactive systems,\r\nand showcases applications made possible by the use of semantic models.", "year": 2013, "uri": "http://iihm.imag.fr/publication/HPL+13a/", "id": 664, "note": "HCI Series", "editor": "Hussein, T., Paulheim, H., Lukosch, S., Ziegler, J., Calvary, G. (Eds.) ", "authors": { "1": { "first_name": "Tim", "last_name": "Hussein" }, "2": { "first_name": "Heiko", "last_name": "Paulheim" }, "3": { "first_name": "Stefan", "last_name": "Lukosch" }, "4": { "first_name": "Jurgen", "last_name": "Ziegler" }, "5": { "first_name": "Gaëlle", "last_name": "Calvary" } }, "date": "2013-12-01", "type": "Livres", "pages": "204", "abbr": "HPL+13a" }]);