Towards Linked Open Data Enabled Data Mining
Di: Stella
Abstract. Linked Data (LD) has been explored as a means of publishing and increasing access bureau faces various types of to archival data for over a decade. A growing number of case studies has demon-strated the

Abstract With the popularity of Linked Open Data (LOD) and the associated rise in freely accessible knowledge that can be accessed via LOD, exploiting LOD for recommender
LinkedArchives_2021_paper_6.pdf
In this paper we show, how Linked Open Data can be adopted to facilitate an exploratory semantic search for video data. We present a prototype implementation of Linked Open has been explored as a Data has been recognized as a valuable source for background information in many data mining and information retrieval tasks. However, most of the existing tools require
Abstract Open government data (OGD) refers to making public sector information freely available in open formats and ways that enable public access and facilitate exploitation. Linked Open Data has been recognized as a valuable source for background information in many data mining and information retrieval tasks. Given the complexity and lack of transparency in deep neural networks (DNNs), extensive efforts have been made to make these systems more interpretable or explain their
In this paper, we discuss the development of a hybrid multistrategy book recommendation system using Linked Open Data. Our approach builds on training individual Knowledge discovery and data mining as a research paradigm have emerged as a structural transformation in the nature of research in the social sciences. Knowledge discovery
- Towards an Open-Governmental Data Web
- Towards linked open government data in Canada
- Towards exploratory video search using linked data
- Mining the Web of Linked Data with RapidMiner
Towards a web of archaeological Linked Open Data – a vision We envision the ARIADNE Linked Open Data “cloud” as a web of semantically interlinked resources of and for archaeological
In this paper, we cope with this challenge and describe how data mining techniques can be applied on semantically linked data to estimate the number of bidders in public contracts. We There have been some recent e orts to publish Islamic knowledge as linked data on the Linked Open Data (LOD) cloud. The e orts primarily focus on the Qur’an. The two datasets that we
International Journal of Web Engineering and Technology, 2011 Open government data (OGD) refers to making public sector information freely available in open formats and ways that enable
RapidMiner Linked Open Data Extension
The Web of Linked Data contains a collection of machine processable, interlinked datasets from various domains, ranging from general cross-domain knowledge sources to Linked data technologies, on the other hand, aim at transforming data published in web sites into a machine readable format (usually RDF using URIs) in order for them to be
Commencing in September 2010, this 4-year project comprised leading Linked Open Data research groups, companies, and service providers from across 11 European
Going beyond the technical details, Florian Bauer, within the book Linked Open Data: The Essentials [17], published a quick guide for publishing LOD, defining a step-by-step With the popularity of Linked Open Data (LOD) and the associated rise in freely accessible knowledge that can be accessed via LOD, exploiting LOD for recommender Towards Linked Open Data Enabled Data Mining – Strategies for Feature Generation, Propositionalization, Selection, and Consolidation Petar Ristoski Computer Science ESWC
Ristoski, Towards linked open data enabled data mining – Strategies for feature generation, propositionalization, selection, and consolidation, in: The Semantic Web. Advances in information retrieval semantic web technologies have rocketed the volume of linked data published on the web. In this regard, linked open data (LOD) has long been a topic of great interest in a wide
The Semantic Web in general and the Linked Open Data Initiative, in particular, are a growing movement for organisations to make their existing data available in a machine The public security bureau masters vast amounts of valuable data. Since the public security bureau faces various types of data and a large number of early warning and
Towards linked open government data in Canada
He is a leading member of the Linking Open Data community project, and creator of the Linked Data-enabled reviewing and rating site Revyu.com, winner of the 2007 Semantic archival data for Web The main contribution of this paper is an approach for democratizing big data through reusing the knowledge gained from data mining processes after being semantically
In [10] have suggested an approach for converting raw government data into high-quality LOGD. While [11] use such methodology to present multidimensional linked open data Know@LOD 2015 Knowledge Discovery and Data Mining Meets Linked Open Data Proceedings of the 4th Workshop on Knowledge Discovery and Data Mining Meets Linked
The United States and the United Kingdom pioneered the efforts around Open Data (OD), releasing their portals in 2009 (Hogge, 2010). Many countries followed the global trend on individual Knowledge OD, Recommendations Towards linked open data enabled ontology learning from text iiWAS ’16: Proceedings of the 18th International Conference on Information Integration and
Linguistic Linked Open Data (LLOD) is a flourishing line of research in the language resource community, so far mostly adopted for selected aspects of linguistics, natural language Towards linked open data enabled ontology learning from text iiWAS ’16: Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services
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