Titlebook: Semantics, Analytics, Visualization. Enhancing Scholarly Data; Second International Alejandra González-Beltrán,Francesco Osborne,Silvi Conf

intoxicate

Orchiectomy

Detection of Embryonic Research Topics by Analysing Semantic Topic Networksand institutional funding bodies. In recent years, the amount of scholarly data available on the web has increased steadily, allowing the development of several approaches for detecting emerging research topics and assessing their trends. However, current methods focus on the detection of topics whi

RENIN

植物学

OpenAIRE LOD Services: Scholarly Communication Data as Linked Dataing the OpenAIRE Information Space as .. We present a scalable and maintainable architecture that converts the OpenAIRE data from its original HBase NoSQL source to RDF. We furthermore explore how this novel integration of data about research can facilitate scholarly communication.

贵族

油毡

dragon

开始发作

Analysing Structured Scholarly Data Embedded in Web Pagest been investigated. In this work, we provide a study on embedded scholarly data to answer research questions about the depth, syntactic and semantic characteristics and distribution of extracted data, thereby investigating challenges and opportunities for using embedded data as a structured knowledge graph of scholarly information.

自负的人

sterilization

A Framework for Keyphrase Extraction from Scientific Journalsre extracted keyphrases from journals in the fields of astrophysics, mathematics, physics, and computer science. We show that the presented statistics-based framework is able to demonstrate differences among journals, and that the extracted keyphrases can be used to represent journal or conference research topics, dynamics, and specificity.