Using preference-enriched faceted search for species identification. (2016)

• Record Type: Journal Article
• Authors: Tzitzikas, Yannis; Bailly, Nicolas; Papadakos, Panagiotis; Minadakis, Nikos; Nikitakis, George
• Is Part Of: International journal of metadata, semantics and ontologies. Volume 11:Number 3(2016)
• Page Start: 165
• Page End: 179
• Publication Date: 2016
• Subjects: species identification -- identification tasks -- faceted search -- user preferences -- fisheries -- fish sepcies; Metadata -- Periodicals; Semantic Web -- Periodicals; Ontologies (Information retrieval) -- Periodicals; Data structures (Computer science) -- Periodicals; Information theory -- Periodicals; 005.74
• Languages: English
• ISSNs: 1744-2621

Abstract

Species identification is essentially a decision-making process comprising steps in which the user makes a selection of characters, figures or photographs, or provides an input, that restricts other choices, until reaching one species. In some identification methods such decisions should have a specific order. Consequently, a wrong decision at the beginning of the process, could exclude a big set of options. To make this process more flexible and less vulnerable to wrong decisions, in this paper we investigate how a Preference-enriched Faceted Search (PFS) process can be used to aid the identification of species. We show how the proposed process covers and advances the existing methods and we report our experience from applying this process over data taken from FishBase. In the sequent, we elaborate on evaluation and we report the results of a task-based evaluation that shows that the PFS-based method can be used effectively by casual users.