Lessons Learned from a Knowledge-driven Search Application on-top of Large Data Sets - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2018

Lessons Learned from a Knowledge-driven Search Application on-top of Large Data Sets

Dennis Diefenbach
Andreas Both
  • Fonction : Auteur
Kamal Singh
Pierre Maret

Résumé

The Web stores huge amounts of data. Additionally the number of stored data is increasing permanently. Hence, while using a search application, after some time it is likely that users are confronted with unknown instances or properties while triggering their search questions. From this observation the research challenge is derived, how data can automatically be visualized for a user without leaving the search application. Here, we will present observations from a search-driven application from the field of Question Answering on-top of the Web of Data. This Web application is using Wikidata-a data source derived from Wikipedia-and several other to provide access to general knowledge and specific knowledge from particular domains. Hence, the size of the data set is very large. The problem is how to tackle the sheer amount of available instances and properties (volume), the high variety due to the ambiguity of natural language questions, and the broad field represented by a general-purpose knowledge base. Data (instances and properties) need to be visualized so that it can be explored with respect to different dimensions and allowing different granularity. Additionally, feedback interaction points were required to make the system learn over time and deal with the ambiguity of natural language questions. Concluding, in this paper we will provide an overview of the challenges we have identified and the derived solutions.
Fichier principal
Vignette du fichier
2018_AVI___VisBIA-7.pdf (4.02 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01905731 , version 1 (23-11-2018)

Identifiants

  • HAL Id : hal-01905731 , version 1

Citer

Dennis Diefenbach, Pierre Tardiveau, Andreas Both, Kamal Singh, Pierre Maret. Lessons Learned from a Knowledge-driven Search Application on-top of Large Data Sets. Workshop on Visual Interfaces for Big Data Environments in Industrial Applications (VisBIA 2018) Co-located with International Conference on Advanced Visual Interfaces (AVI 2018), May 2017, Castiglione della Pescaia, Italy. pp.32-39. ⟨hal-01905731⟩
136 Consultations
35 Téléchargements

Partager

Gmail Facebook X LinkedIn More