What’s in this paper? Combining Rhetorical Entities with Linked Open Data for Semantic Literature Querying

TitleWhat’s in this paper? Combining Rhetorical Entities with Linked Open Data for Semantic Literature Querying
Publication TypeConference Paper
Year of Publication2015
AuthorsSateli B, Witte R
Conference NameSemantics, Analytics, Visualisation: Enhancing Scholarly Data (SAVE-SD 2015)
Date Published05/2015
PublisherACM
Conference LocationFlorence, Italy
KeywordsLinked Open Data, natural language processing, RDF, Semantic Publishing, Semantic Web
Abstract

Finding research literature pertaining to a task at hand is one of the essential tasks that scientists face on daily basis. Standard information retrieval techniques allow to quickly obtain a vast number of potentially relevant documents. Unfortunately, the search results then require significant effort for manual inspection, where we would rather select relevant publications based on more fine-grained, semantically rich queries involving a publication’s contributions, methods, or application domains. We argue that a novel combination of three distinct methods can significantly advance this vision: (i) Natural Language Processing (NLP) for Rhetorical Entity (RE) detection; (ii) Named Entity (NE) recognition based on the Linked Open Data (LOD) cloud; and (iii) automatic generation of RDF triples for both NEs and REs using semantic web ontologies to interconnect them. Combined in a single workflow, these techniques allow us to automatically construct a knowledge base that facilitates numerous advanced use cases for managing scientific documents.

URLhttp://www.www2015.it/documents/proceedings/companion/p1023.pdf
DOI10.1145/2740908.2742022