Tags / 21 quotes from 16 sources
#database
(2) What Is Dynamic Semantic Publishing? - Quora
Dynamic semantic publishing at the BBC
the phrase "dynamic semantic publishing" was probably first coined by the BBC to describe their metadata-driven publishing platform in summary, the novel features of the publishing platform are: a lot of the content is automatically generated based on the metadata stored in the…
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…
Company Information : About Npg
Nature Publishing Group (company description)
Focusing on the needs of scientists, Nature (founded in 1869) is the leading weekly, international scientific journal. In addition, for this audience, NPG publishes the Nature research journals and Nature Reviews journals, plus a range of prestigious academic journals including…
Graph Databases | Bloor
What is a graph database?
A graph database is one that stores data in terms of entities and the relationships between entities. A variant on this theme are RDF (resource description framework) databases which store data in the format subject-predicate-object, which is known as a triple. There are three…
Harnessing The Power Of Data Discovery: Pt. 2 | Yarcdata
Graph database vs relational database
The marketing manager is hypothesis-testing: she might use this data for a while and then realize that adding geographic information would be useful too since a marathon is going to take place in this town. This way, she can figure out which folks and their friends who live in…
Making A Clean Sweep Of Cultural Heritage
Automatic cleanup of large databases
Fortunately, an increasing body of research concerns itself with the automatic cleanup of large databases. We describe a generic approach that utilizes robust findings from this body of research, and that is applicable to object databases typically found in cultural heritage…
Data cleaning using machine learning
Trivially but crucially, if 5 percent of the data in the average manually entered database is incorrect, then 95 percent is correct. Hence, statistically speaking, it is possible to cast the data cleaning problem as an outlier detection task. Consider a fl at, nonrelational…
Errors in cultural heritage databases
Jonathan Maletic and Andrian Marcus estimate that about 5 percent or more of the information present in manually created databases is erroneous. 5 Many possible causes for errors exist. First, some errors are due to interpretation discrepancies: different people who en ter data…
Micropublications: A Semantic Model For Claims, Evidence, Arguments And Annotations In Biomedical Communications
Limitations of statement-based models
Statement-based models have been proposed as mechanisms for publishing key facts asserted in the scientific literature or in curated databases in a machine processable form. Examples include: Biological Expression Language (BEL) statements [18]; SWAN, a model for claims and…
Rdf Primer
What counts as a class in RDF Schema
RDF classes can be used to represent almost any category of thing, such as Web pages, people, document types, databases or abstract concepts. Classes are described using the RDF Schema resources rdfs:Class and rdfs:Resource, and the properties rdf:type and rdfs:subClassOf…
The Diggicore Project: Aggregating And Mining The World Of Open Access Articles
Citation data sparcity
The second data mining challenge is related to the problem of citation data sparsity. It is caused by the fact that open access articles are only a subset of all articles. As citations can point to articles in any system, it is complicated to have both vertices for a citation…
The Need For Research Maps To Navigate Published Work And Inform Experiment Planning
Strategies for nanopublications: experts data entry
We can presently identify at least three strategies for building research maps. These strategies are not mutually exclusive. The first is a publically funded data entry effort. Specialists in various fields of research could be hired to write nano- publications for papers in…
Strategies for nanopublications: structured note taking
The second strategy for building research maps piggybacks on activities that are part of the research community’s typical workflow, such as note taking. From the time that they are students to the time that they are principal investigators, researchers take notes on the papers…
The Postmodern Condition: A Report On Knowledge
Databases are tomorrow's encyclopaedia
Databases are tomorrow’s encyclopaedia. They exceed the capacities of any user. They represent “nature” for the postmodern humanity.
The Transaction Manifesto: A Direction For Nosql Database Technology
Database transaction
A transaction is a set of database reads and writes that is handled as a unit with a few crucial properties. First, all reads in the transaction see the same snapshot of the database (e.g. do not see changes to the data resulting from other transactions executing concurrently)…
True Structure: Zigzag®
Zig Zag data structure
We believe this is the most general data structure, able to replace tables, arrays, spreadsheet and relational database, and intrinsically offering built-in visualizations and hands-on controls. That structure we call zzstructure, or hyperthogonal structure. Like a table it is…
Tuning Sparql Queries For Performance | Yarcdata
Term equality versus value equality in SPARQL
Now a lot of users of SPARQL probably don’t even know what I mean by the above, but I would give you good odds that most people are using the former without realizing it or knowing that the latter could actually be more performant in many scenarios. So to illustrate this, let’s…
Understanding Digital Humanities (david M. Berry)
Clergy of the church of england database - citizen collaboration
Working together within a shared framework of assumptions, expert scholars and expert amateurs can build databases accessible to all and enriched with content beyond what the scholars can contribute. An example is the Clergy of the Church of England Database directed by Arthur…
What Is Big Data? An Introduction To The Big Data Landscape.
The need for speed drove NoSQL
It's this need for speed, particularly on the web, that has driven the development of key-value stores and columnar databases, optimized for the fast retrieval of precomputed information. These databases form part of an umbrella category known as NoSQL, used when relational…
Different data types suit different databases
Despite the popularity and well understood nature of relational databases, it is not the case that they should always be the destination for data, even when tidied up. Certain data types suit certain classes of database better. For instance, documents encoded as XML are most…
Static schemas versus flexible NoSQL
Even where there's not a radical data type mismatch, a disadvantage of the relational database is the static nature of its schemas. In an agile, exploratory environment, the results of computations will evolve with the detection and extraction of more signals. Semi-structured…