Graduate School and Research Center in Digital Sciences

Reconciling information in DBpedia through a question answering system

Cabrio, Elena; Palmero Aprosio, Alessio; Villata , Serena

ISWC 2014, 13th International Semantic Web Conference, Demo Track, October 21-23, 2014, Riva del Garda, Italy

Results obtained querying language-speci c DBpedia chap- ters SPARQL endpoints for the same query can be related by several het- erogenous relations, or contain an inconsistent set of information about the same topic. To overcome this issue in question answering systems over language-speci c DBpedia chapters, we propose the RADAR frame- work for information reconciliation. Starting from a categorization of the possible relations among the resulting instances, such framework: (i) classi es such relations, (ii) reconciles the obtained information using argumentation theory, (iii) ranks the alternative results depending on the con dence of the source in case of inconsistencies, and (iv) explains the reasons underlying the proposed ranking.

Hal Bibtex

Title:Reconciling information in DBpedia through a question answering system
Type:Poster / Demo
City:Riva del Garda
Department:Data Science
Eurecom ref:4453
Copyright: CEUR
Bibtex: @poster / demo{EURECOM+4453, year = {2014}, title = {{R}econciling information in {DB}pedia through a question answering system}, author = {{C}abrio, {E}lena and {P}almero {A}prosio, {A}lessio and {V}illata , {S}erena}, number = {EURECOM+4453}, month = {10}, institution = {Eurecom} address = {{R}iva del {G}arda, {ITALY}}, url = {} }
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