FRINK Linked Data Fragments server

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• W2394933761 abstract "The Internet in general, and the Web 2.0, together with the trend towards mobile terminals in particular, have recently had an immense impact on the society. As a result of these developments, users nowadays produce data on an unprecedented scale. This new kind of data has attracted the attention of researchers from a wide variety of disciplines. In this thesis we contribute some small pieces to the huge interdisciplinary efforts to understand this implicitly and explicitly generated data. More importantly, we put these analytic efforts into a practical context by making the insights directly accessible to the end-users by means of concrete applications. In the first part of the thesis we investigate the interconnections between people in (online) social networks. Based on some relevant properties of these networks, we then propose two mobile applications, one to assist a user who wants to address a group of people from within a resource restricted device, and one that unobtrusively searches for potential friends while the user is pursuing everyday activities. The second part of the thesis studies the extraction of similarity measures from user generated content. We thereby focus on two main domains: Scientific conferences and music. We show that a large collection of publication records implicitly contains information about different aspects of conference similarities. Two of these aspects – quality and thematic scope – form the fundamental building blocks of confsearch, a conference search engine we have implemented. Our conference similarity measure is further used to draw a map of conferences using a graph embedding algorithm and to discuss the world of conferences in a playful manner. Towards the end of the thesis we discuss different facets of music similarity and its use in end-user applications. In particular, we take advantage of the fact that the cumulated listening histories of a large user basis contain valuable information about the similarity of songs. The resulting similarity measure is known to better reflect the users’ perception than state-of-the-art audio based methods. However, it lacks a compact representation as known from audio based techniques, a fact that greatly complicates the design of intuitive user interfaces. To overcome this problem, we pick up the idea of a map, as already discussed in the context of scientific conferences. In particular, we propose to compactly embed our usage data based music similarity measures into a Euclidean space. For this purpose, we make use of two different techniques, one that solely relies on the listening behavior, and one that combines this data with the more explicit information contained in social tags. We finally demonstrate the practical usefulness of the concept of a music map in a comprehensive mobile music player for the Android platform that gained a remarkable popularity. In a user study, we show that the integrated similarity aware features are frequently used. From this study, and from user comments, we conclude that our map in fact facilitates the design of similarity based music retrieval interfaces, and that such interfaces are also well accepted by the community." @default.
• W2394933761 created "2016-06-24" @default.
• W2394933761 creator A5003406386 @default.
• W2394933761 date "2011-01-01" @default.
• W2394933761 modified "2023-09-26" @default.
• W2394933761 title "Understanding and organizing user generated data: methods and applications." @default.
• W2394933761 cites W10477799 @default.
• W2394933761 cites W125376580 @default.
• W2394933761 cites W126054906 @default.
• W2394933761 cites W145820976 @default.
• W2394933761 cites W1490325621 @default.
• W2394933761 cites W1498416659 @default.
• W2394933761 cites W1499686117 @default.
• W2394933761 cites W1500060856 @default.
• W2394933761 cites W1509256833 @default.
• W2394933761 cites W1516108875 @default.
• W2394933761 cites W1520160965 @default.
• W2394933761 cites W1521853916 @default.
• W2394933761 cites W1525523584 @default.
• W2394933761 cites W1541372240 @default.
• W2394933761 cites W1543435736 @default.
• W2394933761 cites W1562529351 @default.
• W2394933761 cites W1565234656 @default.
• W2394933761 cites W1571373926 @default.
• W2394933761 cites W1582481668 @default.
• W2394933761 cites W1587664805 @default.
• W2394933761 cites W1671906456 @default.
• W2394933761 cites W172133891 @default.
• W2394933761 cites W183994480 @default.
• W2394933761 cites W1854214752 @default.
• W2394933761 cites W187971256 @default.
• W2394933761 cites W18928859 @default.
• W2394933761 cites W1969483458 @default.
• W2394933761 cites W1971421925 @default.
• W2394933761 cites W1973816953 @default.
• W2394933761 cites W1979955134 @default.
• W2394933761 cites W1980953672 @default.
• W2394933761 cites W1987930784 @default.
• W2394933761 cites W1988405221 @default.
• W2394933761 cites W1992504621 @default.
• W2394933761 cites W1999047234 @default.
• W2394933761 cites W200495312 @default.
• W2394933761 cites W2015953751 @default.
• W2394933761 cites W2016380630 @default.
• W2394933761 cites W2017310186 @default.
• W2394933761 cites W2019724387 @default.
• W2394933761 cites W2021105116 @default.
• W2394933761 cites W2024932032 @default.
• W2394933761 cites W2036646661 @default.
• W2394933761 cites W2038678505 @default.
• W2394933761 cites W2040084153 @default.
• W2394933761 cites W2041835352 @default.
• W2394933761 cites W2045446569 @default.
• W2394933761 cites W2046098349 @default.
• W2394933761 cites W2053549370 @default.
• W2394933761 cites W2053634345 @default.
• W2394933761 cites W2061901927 @default.
• W2394933761 cites W2064906988 @default.
• W2394933761 cites W2067257553 @default.
• W2394933761 cites W2068557399 @default.
• W2394933761 cites W2068632118 @default.
• W2394933761 cites W2070497706 @default.
• W2394933761 cites W2080052745 @default.
• W2394933761 cites W2092422002 @default.
• W2394933761 cites W2093547467 @default.
• W2394933761 cites W2095293504 @default.
• W2394933761 cites W2097219534 @default.
• W2394933761 cites W2100904944 @default.
• W2394933761 cites W2101599977 @default.
• W2394933761 cites W2101890001 @default.
• W2394933761 cites W2105657305 @default.
• W2394933761 cites W2107233554 @default.
• W2394933761 cites W2107743791 @default.
• W2394933761 cites W2109682749 @default.
• W2394933761 cites W2110851725 @default.
• W2394933761 cites W2111331420 @default.
• W2394933761 cites W2112088547 @default.
• W2394933761 cites W2112090702 @default.
• W2394933761 cites W2114005694 @default.
• W2394933761 cites W2114989451 @default.
• W2394933761 cites W2119241920 @default.
• W2394933761 cites W2120422643 @default.
• W2394933761 cites W2122843645 @default.
• W2394933761 cites W2126410803 @default.
• W2394933761 cites W2128678576 @default.
• W2394933761 cites W2129058648 @default.
• W2394933761 cites W2132050867 @default.
• W2394933761 cites W2132631291 @default.
• W2394933761 cites W2133824856 @default.
• W2394933761 cites W2134731454 @default.
• W2394933761 cites W2134990037 @default.
• W2394933761 cites W2139979322 @default.
• W2394933761 cites W2140794422 @default.
• W2394933761 cites W2141714363 @default.
• W2394933761 cites W2142047235 @default.
• W2394933761 cites W2143087446 @default.
• W2394933761 cites W2144352811 @default.
• W2394933761 cites W2144394238 @default.

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