Tags / 9 quotes from 6 sources
#dataset
A New Semantic Similarity Based Measure For Assessing Research Publication’s Contribution
The citation data sparsity problem
Furthermore, we have demonstrated the importance of developing datasets on which this class of measures can be tested and explained the challenges in developing them. The primary issue is the citation data sparsity problem, which is a natural consequence of publications…
Big Data Lambda Architecture
Big data lambda architecture
Let’s go through the diagram piece by piece. * (A)—All new data is sent to both the batch layer and the speed layer. In the batch layer, new data is appended to the master dataset. In the speed layer, the new data is consumed to do incremental updates of the realtime views. *…
From Cms To Dms: C Is For Content, D Is For Data | Open Knowledge Foundation Blog
Data management system
A mature DMS will let people do all the following things. Whether as a proprietary monolith, or by slick integration across the web: - Load and update data from any source (ETL) - Store datasets and index them for querying - View, analyse and update data in a tabular interface…
Linked Data Is Merely More Data
An ontology for the Linked Data cloud
Some of the LoD Cloud shortcomings identified above can be resolved by providing a systematic and formal descrip- tion of the LoD Cloud. There is an apparent lack of an ontology which formalizes and systematically captures the information contained in LoD Cloud datasets. Such…
The linked data cloud datasets lack schema level mappings
The LoD Cloud datasets lack schema level mappings and do not convey relationships between concepts of different datasets at the schema level. To exemplify, a feature in the Geonames schema can serve as a venue for an event, e.g. the current model identifies “Atlanta in Georgia…
Lack of conceptual description in the linked data cloud
...the user has to be familiar with multiple datasets, and has to express the precise relationships between concepts in the RDF triple pattern, which even in trivial scenarios implies browsing at least two to three datasets. In our previous work (Jain et al. 2009) we made…
From a web of documents to a web of data
The interlinking of these diverse datasets promises a “Web of Data” that will enable users to easily navigate be- tween these datasets in a manner analogous to how users currently navigate from one webpage to another in the “Web of Documents.” Moreover, the LoD Cloud can…
What Is Big Data? An Introduction To The Big Data Landscape.
Hadoop and MapReduce
Assuming that the volumes of data are larger than those conventional relational database infrastructures can cope with, processing options break down broadly into a choice between massively parallel processing architectures — data warehouses or databases such as Greenplum — and…
What Is Open Data? — Open Data Handbook
Open data is about interoperability
If you’re wondering why it is so important to be clear about what open means and why this definition is used, there’s a simple answer: interoperability. Interoperability denotes the ability of diverse systems and organizations to work together (inter-operate). In this case, it…