Matches in Ruben’s data for { ?s ?p "When researchers formulate search queries to find relevant content on the Web, those queries typically consist of keywords that can only be matched in the content or its metadata. The Web of Data extends this functionality by bringing structure and giving well-defined meaning to the content and it enables humans and machines to work together using controlled vocabularies. Due the high degree of mismatches between the structure of the content and the vocabularies in different sources, searching over multiple heterogeneous repositories of structured data is considered challenging. Therefore, we present a semantic search engine for researchers facilitating search in research related Linked Data. To facilitate high-precision interactive search, we configured the engine to annotate and interlink structured research data with ontologies from various repositories in an effective semantic model. Furthermore, our system is adaptive as researchers can choose to add their social media accounts for synchronization and efficiently explore new datasets."@en }
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- IJSWIS.2017100108 abstract "When researchers formulate search queries to find relevant content on the Web, those queries typically consist of keywords that can only be matched in the content or its metadata. The Web of Data extends this functionality by bringing structure and giving well-defined meaning to the content and it enables humans and machines to work together using controlled vocabularies. Due the high degree of mismatches between the structure of the content and the vocabularies in different sources, searching over multiple heterogeneous repositories of structured data is considered challenging. Therefore, we present a semantic search engine for researchers facilitating search in research related Linked Data. To facilitate high-precision interactive search, we configured the engine to annotate and interlink structured research data with ontologies from various repositories in an effective semantic model. Furthermore, our system is adaptive as researchers can choose to add their social media accounts for synchronization and efficiently explore new datasets.".