Abstract | ||
---|---|---|
Semantic and context knowledge has been envisioned as an appropriate solution for addressing the content heterogeneity and information overload in mobile Web information access, but few have explored their full potential in mobile scenarios, where information objects refer to their physical counterparts, and retrieval is context-aware and personalized for users. We present SMARTMUSEUM, a mobile ubiquitous recommender system for the Web of Data, and its application to information needs of tourists in context-aware on-site access to cultural heritage. The SMARTMUSEUM system utilizes Semantic Web languages as the form of data representation. Ontologies are used to bridge the semantic gap between heterogeneous content descriptions, sensor inputs, and user profiles. The system makes use of an information retrieval framework wherein context data and search result clustering are used in recommendation of suitable content for mobile users. Results from laboratory experiments demonstrate that ontology-based reasoning, query expansion, search result clustering, and context knowledge lead to significant improvement in recommendation performance. The results from field trials show that the usability of the system meets users' expectations in real-world use. The results indicate that semantic content representation and retrieval can significantly improve the performance of mobile recommender systems in knowledge-rich domains. |
Year | DOI | Venue |
---|---|---|
2013 | 10.1016/j.websem.2013.03.001 | J. Web Sem. |
Keywords | Field | DocType |
mobile user,mobile scenario,information need,search result clustering,mobile ubiquitous recommender system,information object,mobile web information access,information retrieval framework,mobile recommender system,information overload,web of data,recommender systems,semantic web,ubiquitous computing,information retrieval,cultural heritage | World Wide Web,Mobile search,Web intelligence,Information retrieval,Semantic search,Semantic Web Stack,Computer science,Semantic Web,Data Web,Social Semantic Web,Mobile Web | Journal |
Volume | ISSN | Citations |
20, | 1570-8268 | 41 |
PageRank | References | Authors |
1.41 | 60 | 9 |
Name | Order | Citations | PageRank |
---|---|---|---|
Tuukka Ruotsalo | 1 | 487 | 36.52 |
Krister Haav | 2 | 41 | 1.41 |
Antony Stoyanov | 3 | 41 | 1.41 |
Sylvain Roche | 4 | 41 | 1.41 |
Elena Fani | 5 | 41 | 1.41 |
Romina Deliai | 6 | 41 | 1.41 |
Eetu Mäkelä | 7 | 188 | 23.10 |
tomi kauppinen a | 8 | 221 | 22.58 |
Eero Hyvönen | 9 | 843 | 103.43 |