Discovering and Maintaining Links on the Web of Data

By Julius Volz, Christian Bizer, Martin Gaedke, Georgi Kobilarov. International Workshop on the Semantic Web, 2009

403 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Management Science and Operations Research, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/99cb2f3dabf276c43f840ea09099b57ddc4199aa

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In Molecular Biology

Citations in the corpus

LINDA: distributed web-of-data-scale entity matching (2012, background): “This paper makes the following technical contributions: (1) A new optimization model for joint evidence and consistency of sameAs linkage between LOD entities.”
When owl: sameAs Isn't the Same: An Analysis of Identity in Linked Data (2010, background): “Does the possibility of incorrect inferences even matter if one’s application does not use inference? With frameworks such as SiLK increasing the number of sameAs [17] statements, is the use of sameAs a potential time-bomb for Linked Data, or just a harmless convention?”
Linked Data: Evolving the Web into a Global Data Space (2011, neutral): “l Silk - Link Discovery Framework [111].”
PARIS: Probabilistic Alignment of Relations, Instances, and Schema (2011, methodology): “The silk framework [33] allows specifying manual mapping rules.”
Entity Alignment between Knowledge Graphs Using Attribute Embeddings (2019, methodology): “SILK (Volz et al., 2009) allows users to specify the mapping rules using the Silk - Link Speciﬁcation Language (Silk-LSL).”
Entity Linking with a Knowledge Base: Issues, Techniques, and Solutions (2015, background): “Another related problem is record linkage [34], [35], [36], [37], [38], [39], [40], [41] (also called duplicate detection, entity matching, and reference reconciliation) in the database community.”
LIMES - A Time-Efficient Approach for Large-Scale Link Discovery on the Web of Data (2011, methodology): “INTRODUCTION The core idea behind the Linked Data paradigm is to facilitate the transition from the document-oriented Web to the Semantic Web by extending the Web with a data commons consisting of interlinked data sources [20, 6].”
Linked Data - The Story So Far (2009, positive): “The Silk framework (Volz et al., 2009) works against local and remote SPARQL [Endnote: http://www.w3.org/TR/rdf-sparql-query/] endpoints and is designed to be employed in distributed environments without having to replicate data sets locally.”
Ontology Matching (2007, background): “Silk (Volz et al. 2009) is a link discovery framework for the web of data.”
Aligning Cross-Lingual Entities with Multi-Aspect Information (2019, methodology): “As for monolingual entity alignment, main approaches align two entities by computing string similarity of entity labels (Scharffe et al., 2009; Volz et al., 2009; Ngomo and Auer, 2011) or graph similarity (Raimond et al., 2008; Pershina et al., 2015; Azmy et al., 2019).”
Sieve: linked data quality assessment and fusion (2012, methodology): “Through the identity resolution module (Silk) and the URI translation module, these identity links will be used to merge object descriptions into one URI per object.”