A semantic federated search engine for domain-specific document retrieval

Mauro Dragoni, Andi Rexha, Hermann Ziak, Roman Kern

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

Abstract

Retrieval of domain-specific documents became attractive for the SemanticWeb community due to the possibility of integrating classic Information Retrieval (IR) techniques with semantic knowledge. Unfortunately, the gap between the construction of a full semantic search engine and the possibility of exploiting a repository of ontologies covering all possible domains is far from being filled. Recent solutions focused on the aggregation of different domainspecific repositories managed by third-parties. In this paper, we present a semantic federated search engine developed in the context of the EEXCESS EU project. Through the developed platform, users are able to perform federated queries over repositories in a transparent way, i.e. without knowing how their original queries are transformed before being actually submitted. The platform implements a facility for plugging new repositories and for creating, with the support of general purpose knowledge bases, knowledge graphs describing the content of each connected repository. Such knowledge graphs are then exploited for enriching queries performed by users.
Original languageGerman
Title of host publicationSAC '17: Proceedings of the Symposium on Applied Computing
PublisherAssociation of Computing Machinery
Pages303-308
ISBN (Electronic)978-145034486-9
DOIs
Publication statusPublished - 2017
Event32nd Annual ACM Symposium on Applied Computing, SAC 2017 - Marrakesh, Morocco
Duration: 4 Apr 20176 Apr 2017

Conference

Conference32nd Annual ACM Symposium on Applied Computing, SAC 2017
Country/TerritoryMorocco
CityMarrakesh
Period4/04/176/04/17

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