The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The Linked Data (LD) Cloud consists of LD sources covering a wide variety of topics. These data sources use formal vocabularies to represent their data and in many cases, they use heterogeneous vocabularies to represent data about the same topics. This data heterogeneity must be overcome to effectively integrate and consume data from the LD Cloud. Mappings overcome this data heterogeneity by transforming...
The development of modern health care and clinical practice increase the need of nutritional and medical data extraction and integration across heterogeneous data sources. It can be useful for researchers and patients if there is a way to extract relevant information and organize it as easily shared and machine-processable linked data. In this paper, we describe an automatic approach that extracts...
Linked Data is an emerging trend on the web with top companies promoting their own means of marking up data semantically, publishing and connecting data on Web. Despite the increasing prevalence of Linked Data, there are a limited number of applications that implement and take advantage of its capabilities, particularly in the domain of education. In this project we are using Semantic technologies...
Enterprise knowledge graph is crucial for both enterprises and their management agencies. However, enterprise knowledge graph construction faces several challenges such as heterogeneous taxonomies, knowledge inconsistencies or conflicts and lack of semantic links. In this paper, we use Linked Data paradigm to construct enterprise knowledge graph by integrating heterogeneous enterprise data itself...
Scientific publication management services are changing drastically. On the one hand, researchers demand intelligent search services to discover scientific publications. On the other hand, publishers need to incorporate semantic information to better organize their digital assets and make publications more discoverable. For this purpose, we investigate how to manage scientific publications using Linked...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.