FERASAT:A Serendipity-Fostering Faceted Browser for Linked Data
| Autor: | Ali Khalili, Peter van den Besselaar, Klaas Andries de Graaf |
|---|---|
| Přispěvatelé: | Knowledge Representation and Reasoning, Network Institute, Artificial intelligence, Organization Sciences, Organization & Processes of Organizing in Society (OPOS) |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Serendipity
Computer science Interface (Java) 020207 software engineering Exploratory search 02 engineering and technology Linked data Set (abstract data type) World Wide Web 020204 information systems 0202 electrical engineering electronic engineering information engineering Use case User interface Semantic Web |
| Zdroj: | Khalili, A, van den Besselaar, P & de Graaf, K A 2018, FERASAT : A Serendipity-Fostering Faceted Browser for Linked Data . in The Semantic Web-15th International Conference, ESWC 2018, Proceedings . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10843 LNCS, Springer/Verlag, pp. 351-366, 15th International Conference on Extended Semantic Web Conference, ESWC 2018, Heraklion, Greece, 3/06/18 . https://doi.org/10.1007/978-3-319-93417-4_23 The Semantic Web-15th International Conference, ESWC 2018, Proceedings, 351-366 STARTPAGE=351;ENDPAGE=366;TITLE=The Semantic Web-15th International Conference, ESWC 2018, Proceedings The Semantic Web ISBN: 9783319934167 ESWC The Semantic Web Lecture Notes in Computer Science |
| DOI: | 10.1007/978-3-319-93417-4_23 |
| Popis: | Accidental knowledge discoveries occur most frequently during capricious and unplanned search and browsing of data. This type of undirected, random, and exploratory search and browsing of data results in Serendipity – the art of unsought finding. In our previous work we extracted a set of serendipity-fostering design features for developing intelligent user interfaces on Semantic Web and Linked Data browsing environments. The features facilitate the discovery of interesting and valuable facts in (linked) data which were not initially sought for. In this work, we present an implementation of those features called FERASAT. FERASAT provides an adaptive multigraph-based faceted browsing interface to catalyze serendipity while browsing Linked Data. FERASAT is already in use within the domain of science, technology & innovation (STI) studies to allow researchers who are not familiar with Linked Data technologies to explore heterogeneous interlinked datasets in order to observe and interpret surprising facts from the data relevant to policy and innovation studies. In addition to an analysis of the related work, we describe two STI use cases in the paper and demonstrate how different serendipity design features are addressed in those use cases. |
| Databáze: | OpenAIRE |
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