... publications. Then, a recommendation algorithm is presented that uses both relational and textual features to compute the semantic distances of publications of a bibliographic dataset from the input text. Findings The evaluation of the proposed system shows that combining relational features with textual...

..., exploit semantic web technologies for data interoperability, and realize end‐user data mobility on top of this interoperability framework. The authors employ semantically enhanced workflow/process mining techniques, along with Petri nets as a formal ground, for user behavior mining. The authors outline...

...Marios Poulos; Nikolaos Korfiatis; George Bokos Purpose This paper aims to present the semantic content identifier (SCI), a permanent identifier, computed through a linear‐time onion‐peeling algorithm that enables the extraction of semantic features from a text, and the integration...

... was further used in semantic clustering. The results were effectively visually represented. Findings The paper finds that the function based on the Jaro‐Winkler algorithm may be efficiently used in the de‐duplication process. A generated thesaurus that utilises domain‐specific knowledge can also be used...