Diese Datenbank enthält über 40.000 Dokumente zu Themen aus den Bereichen Formalerschließung – Inhaltserschließung – Information Retrieval.
© 2015 W. Gödert, TH Köln, Institut für Informationswissenschaft / Powered by litecat, BIS Oldenburg (Stand: 04. Juni 2021)
1Aldosari, M. ; Sanderson, M. ; Tam, A. ; Uitdenbogerd, A.L.: Understanding collaborative search for places of interest.
In: Journal of the Association for Information Science and Technology. 67(2016) no.6, S.1331-1344.
Abstract: Finding a place of interest (e.g., a restaurant, hotel, or attraction) is often related to a group information need, however, the actual multiparty collaboration in such searches has not been explored, and little is known about its significance and related practices. We surveyed 100 computer science students and found that 94% (of respondents) searched for places online; 87% had done so as part of a group. Search for place by multiple active participants was experienced by 78%, with group sizes typically being 2 or 3. Search occurred in a range of settings with both desktop PCs and mobile devices. Difficulties were reported with coordinating tasks, sharing results, and making decisions. The results show that finding a place of interest is a quite different group-based search than other multiparty information-seeking activities. The results suggest that local search systems, their interfaces and the devices that access them can be made more usable for collaborative search if they include support for coordination, sharing of results, and decision making.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23466/abstract.
2Uitdenbogerd, A.L. ; Zobel, J.: ¬An architecture for effective music information retrieval.
In: Journal of the American Society for Information Science and Technology. 55(2004) no.12, S.1053-1057.
Abstract: We have explored methods for music information retrieval for polyphonic music stored in the MIDI format. These methods use a query, expressed as a series of notes that are intended to represent a melody or theme, to identify similar pieces. Our work has shown that a three-phase architecture is appropriate for this task in which the first phase is melody extraction, the second is standardization, and the third is query-to-melody matching. We have investigated and systematically compared algorithms for each of these phases. To ensure that our results are robust, we have applied methodologies that are derived from text information retrieval: We developed test collections and compared different ways of acquiring test queries and relevance judgments. In this article we review this program of work, compare it to other approaches to music information retrieval, and identify outstanding issues.
Anmerkung: Beitrag in einem Themenheft zur Musikerschließung und zum Musikretrieval