Matches in Ruben’s data for { ?s ?p ?o }
- publication topic Linked_Data.
- publication abstract "With the emergence of decentralisation initiatives to address various issues around regulatory compliance and barriers of entry to data-driven markets, data access abstraction layers in the form of query engines are needed to assist in developing services on top of such environments. Prior work, however, has demonstrated significant network overhead during data retrieval in traversal-based query execution over decentralised Linked Data sources, dwarfing the relative impact of local processing and query optimisations. Certain decentralisation initiatives, however, offer an environment with seemingly sufficient structure to address this, allowing client-side query engines to attain measurable performance improvements through local optimisations. One example is the Solid initiative, offering distributed well-defined user data stores, helping traversal-based query execution approaches in efficiently locating and accessing query-relevant data. Within this work, we demonstrate the impact of client-side adaptive query planning optimisations within structured distributed environments, using the Solid ecosystem as an example, to highlight the potential for tangible improvements in traversal-based execution. Through the implementation of a restart-based query planning technique, we achieve average query execution time reductions of up to 36% compared to a baseline of unchanged query plan execution. Conversely, we also demonstrate how such techniques, when applied without robust cost-benefit estimation, can effectively double the query execution time. This illustrates the importance and potential of client-side techniques even in such distributed environments, and highlights the importance of further investigation in the direction of these techniques.".
- publication datePublished "2025".
- publication mainEntityOfPage hanski_icwe_2025.
- publication sameAs publication.
- publication isPrimaryTopicOf hanski_icwe_2025.
- publication page hanski_icwe_2025.
- publication author simon_hengchen.
- publication author seth_van_hooland.
- publication author max_de_wilde.
- publication author me.
- publication creator simon_hengchen.
- publication creator seth_van_hooland.
- publication creator max_de_wilde.
- publication creator me.
- publication about Research.
- publication about Metadata.
- publication author simon_hengchen.
- publication author seth_van_hooland.
- publication author max_de_wilde.
- publication author me.
- publication coparticipatesWith simon_hengchen.
- publication coparticipatesWith seth_van_hooland.
- publication coparticipatesWith max_de_wilde.
- publication coparticipatesWith me.
- publication type PublicationIssue.
- publication type Issue.
- publication type CollectedDocument.
- publication type PublicationVolume.
- publication type ScholarlyArticle.
- publication type Article.
- publication type Document.
- publication type Q386724.
- publication type CreativeWork.
- publication type Document.
- publication type Work.
- publication type Document.
- publication P50 simon_hengchen.
- publication P50 seth_van_hooland.
- publication P50 max_de_wilde.
- publication P50 me.
- publication maker simon_hengchen.
- publication maker seth_van_hooland.
- publication maker max_de_wilde.
- publication maker me.
- publication title "L’extraction d’entités nommées : une opportunité pour le secteur culturel ?".
- publication isPartOf information_donnees_et_documents.
- publication name "L’extraction d’entités nommées : une opportunité pour le secteur culturel ?".
- publication label "L’extraction d’entités nommées : une opportunité pour le secteur culturel ?".
- publication name "L’extraction d’entités nommées : une opportunité pour le secteur culturel ?".
- publication topic Research.
- publication topic Metadata.
- publication subject Research.
- publication subject Metadata.
- publication authorList b0_b3050.
- publication topic Research.
- publication topic Metadata.
- publication abstract "Non-structured descriptive metadata provide additional benefits for end-user comprehension. However, their unstructured nature minimize their usefulness in an automated, digital context. This article explores the potential and the limits of Named Entity Recognition (NER) and Term Extraction (TE) in unstructured data searches in order to extract some meaningful concepts. These concepts allow us to benefit from improved retrieval and navigation, but they also play a very important role in digital humanities research. Using a case study to promote NER and TE experiments, based on the descriptive fields of the historical archives of Quebec City, the authors assess four third-party entity extractors. In an effort to address both NER and TE to assess named entities, they use a quantitative approach based on precision, recall and F-score calculated on the "gold standard corpus". A second more qualitative approach then leads us to consider the relevance of TE and to address the issue of multilingualism.".
- publication datePublished "2015".
- publication mainEntityOfPage hengchen_docsi_2015.
- publication sameAs publication.
- publication isPrimaryTopicOf hengchen_docsi_2015.
- publication page hengchen_docsi_2015.
- publication number "70".
- publication number "2".
- publication number "79".
- publication number "52".
- publication volume "52".
- publication locator "70".
- publication locator "2".
- publication locator "79".
- publication locator "52".
- publication volume "52".
- publication position "2".
- publication position "52".
- publication volumeNumber "52".
- publication endingPage "79".
- publication startingPage "70".
- publication pageEnd "79".
- publication pageStart "70".
- publication pageEnd "79".
- publication pageStart "70".
- publication issue "2".
- publication issue "2".
- publication issueNumber "2".
- publication author me.
- publication author me.
- publication author rik_van_de_walle.
- publication author erik_mannens.
- publication author me.
- publication creator me.
- publication creator me.
- publication creator rik_van_de_walle.
- publication creator erik_mannens.
- publication creator me.
- publication about RML.
- publication about Linked_Data.
- publication about Semantic_Web.
- publication about RDF.
- publication about World_Wide_Web.