Expediency
发表于 2025-3-25 04:26:37
Conference proceedings 2018ons. The papers describe multiple ways in which scholarly dissemination can be approved: Creating structured data, providing methods for semantic computational analysis and designing systems for navigating. This allows a variety of stakeholders to understand research dynamics, predict trends and evaluate the quality of research.
极少
发表于 2025-3-25 09:34:14
0302-9743 nd the 4.th. International Workshop, SAVE-SD 2018, held in Lyon, France, in April 2018. The 6 full, 2 position and 4 short papers were selected from 16 submissions. The papers describe multiple ways in which scholarly dissemination can be approved: Creating structured data, providing methods for sem
纹章
发表于 2025-3-25 12:47:03
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Clinch
发表于 2025-3-25 17:32:01
EVENTS: A Dataset on the History of Top-Prestigious Events in Five Computer Science Communities,f their event over time and compare it to competing events in the same field, and to potential authors looking for events to publish their work. In addition, we shed light on these events by analyzing their metadata over the last 50 years. Our transferable analysis is based on exploratory data analysis.
小平面
发表于 2025-3-25 21:01:39
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割让
发表于 2025-3-26 00:58:29
Striving for Semantics of Plant Phenotyping Data,nd their dispersion within general-purpose, unstructured data storages. No clear incentive for individual researchers to follow data description and deposition guidelines makes it difficult to develop and promote new approaches and tools utilising public phenotypic data resources.
Essential
发表于 2025-3-26 07:14:40
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郊外
发表于 2025-3-26 11:48:00
ILastic: Linked Data Generation Workflow and User Interface for iMinds Scholarly Data,ly data neglect general-purpose solutions for metadata and instead use their own ad-hoc solutions. This leads to duplicate efforts and entails non-negligible implementation and maintenance costs. In this paper, we propose a reusable Linked Data publishing workflow that can be easily adjusted by diff
共同确定为确
发表于 2025-3-26 13:39:16
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开玩笑
发表于 2025-3-26 19:10:09
Extending ScholarlyData with Research Impact Indicators,nferences. In this paper we present an extension of such a linked dataset and its associated ontology (i.e. the conference ontology) in order to represent research impact indicators. The latter includes both traditional (e.g. citation count) and alternative indicators (e.g. altmetrics).