The data set knowledge graph: Creating a linked open data source for data sets

Linked Open Data System for Scientific Data Sets

In this paper, we present a system which makes scientific data available following the linked open data principle using standards like RDF und URI as well as the popular D2R server (D2R) and the customizable D2RQ mapping language. Our scientific data sets include acronym data and expansions, as well as researcher data such as author name, affiliation, coauthors, and abstracts. The system can ea...

a new approach to credibility premium for zero-inflated poisson models for panel data

هدف اصلی از این تحقیق به دست آوردن و مقایسه حق بیمه باورمندی در مدل های شمارشی گزارش نشده برای داده های طولی می باشد. در این تحقیق حق بیمه های پبش گویی بر اساس توابع ضرر مربع خطا و نمایی محاسبه شده و با هم مقایسه می شود. تمایل به گرفتن پاداش و جایزه یکی از دلایل مهم برای گزارش ندادن تصادفات می باشد و افراد برای استفاده از تخفیف اغلب از گزارش تصادفات با هزینه پائین خودداری می کنند، در این تحقیق ...

Creating and Exploiting a Hybrid Knowledge Base for Linked Data

Twenty years ago Tim Berners-Lee proposed a distributed hypertext system based on standard Internet protocols. The Web that resulted fundamentally changed the ways we share information and services, both on the public Internet and within organizations. That original proposal contained the seeds of another effort that has not yet fully blossomed: a Semantic Web designed to enable computer progra...

A minimum data set for chronic venous disease

Exploiting Linked Open Data as Background Knowledge in Data Mining

Many data mining problems can be solved better if they are augmented with additional background knowledge. This paper discusses a framework of adding background knowledge from Linked Open Data to a given data mining problem in a fully automatic, unsupervised manner. It introduces the FeGeLOD framework and its latest implementation, the RapidMiner Linked Open Data extension. We show the use of t...