The eclipse two-tier database interface

2006 ◽  
pp. 127-137 ◽  
Author(s):  
John Cartmell ◽  
Albert Alderson
Keyword(s):  
Database Interface

MODIS. A Moving Object Database Interface System

2005 ◽  
Vol 10 (5) ◽  
pp. 59-94
Author(s):  
Deja Hepziba Francis ◽  
Sanjay Madria ◽  
Chaman Sabharwal
Keyword(s):  
Moving Object ◽  
Moving Object Database ◽  
Interface System ◽  
Object Database ◽  
Database Interface

scholarly journals Matching Pragmatic Lithic Analysis and Proper Data Architecture

2021 ◽  
pp. 1-13
Author(s):  
Daniel A. Contreras ◽  
Zachary Batist ◽  
Ciara Zogheib ◽  
Tristan Carter
Keyword(s):  
Data Structure ◽  
Lithic Analysis ◽  
Database Construction ◽  
Data Architecture ◽  
R Shiny ◽  
Database Interface ◽  
Archaeological Project ◽  
Existing Data

Abstract The documentation and analysis of archaeological lithics must navigate a basic tension between examining and recording data on individual artifacts or on aggregates of artifacts. This poses a challenge both for artifact processing and for database construction. We present here an R Shiny solution that enables lithic analysts to enter data for both individual artifacts and aggregates of artifacts while maintaining a robust yet flexible data structure. This takes the form of a browser-based database interface that uses R to query existing data and transform new data as necessary so that users entering data of varying resolutions still produce data structured around individual artifacts. We demonstrate the function and efficacy of this tool (termed the Queryable Artifact Recording Interface [QuARI]) using the example of the Stelida Naxos Archaeological Project (SNAP), which, focused on a Paleolithic and Mesolithic chert quarry, has necessarily confronted challenges of processing and analyzing large quantities of lithic material.

scholarly journals Empowering Natural Language Interfaces to Databases with Aggregations

2021 ◽  
Vol 12 (5) ◽  
Author(s):  
Alexandre F. Novello ◽  
Marco A. Casanova
Keyword(s):  
Natural Language ◽  
Relational Database ◽  
Natural Language Interfaces ◽  
Aggregation Functions ◽  
Natural Language Interface ◽  
Measurement Units ◽  
Database Interface ◽  
Multiple Attributes ◽  
Generic Module ◽  
Query Aggregation

A Natural Language Interface to Database (NLIDB) refers to a database interface that translates a question asked in natural language into a structured query. Aggregation questions express aggregation functions, such as count, sum, average, minimum and maximum, and optionally a group by clause and a having clause. NLIDBs deliver good results for standard questions but usually do not deal with aggregation questions. The main contribution of this article is a generic module, called GLAMORISE (GeneraL Aggregation MOdule using a RelatIonal databaSE), that extends NLIDBs to cope with aggregation questions. GLAMORISE covers aggregations with ambiguities, timescale differences, aggregations in multiple attributes, the use of superlative adjectives, basic recognition of measurement units, and aggregations in attributes with compound names.

scholarly journals Improving Access to the Dutch Historical Censuses with Linked Open Data

2018 ◽  
Vol 3 (1) ◽  
pp. 13-26
Author(s):  
Albert Meroño-Peñuela ◽  
Ashkan Ashkpour ◽  
Valentijn Gilissen ◽  
Jan Jonker ◽  
Tom Vreugdenhil ◽  
...  
Keyword(s):  
Economic History ◽  
Linked Data ◽  
Census Data ◽  
Social Economic ◽  
Open Data ◽  
Data Cube ◽  
Data Publishing ◽  
Database Interface ◽  
Knowledge Intensive ◽  
The Web

The Dutch Historical Censuses (1795–1971) contain statistics that describe almost two centuries of History in the Netherlands. These censuses were conducted once every 10 years (with some exceptions) from 1795 to 1971. Researchers have used its wealth of demographic, occupational, and housing information to answer fundamental questions in social economic history. However, accessing these data has traditionally been a time consuming and knowledge intensive task. In this paper, we describe the outcomes of the cedar project, which make access to the digitized assets of the Dutch Historical Censuses easier, faster, and more reliable. This is achieved by using the data publishing paradigm of Linked Data from the Semantic Web. We use a digitized sample of 2,288 census tables to produce a linked dataset of more than 6.8 million statistical observations. The dataset is modeled using the rdf Data Cube, Open Annotation, and prov vocabularies. The contributions of representing this dataset as Linked Data are: (1) a uniform database interface for efficient querying of census data; (2) a standardized and reproducible data harmonization workflow; and (3) an augmentation of the dataset through richer connections to related resources on the Web.

scholarly journals A surprise in the updated list of stellar perturbers of long-period comet motion

2020 ◽  
Vol 640 ◽  
pp. A129 ◽  
Author(s):  
Rita Wysoczańska ◽  
Piotr A. Dybczyński ◽  
Magdalena Polińska
Keyword(s):  
High Mass ◽  
Stellar Systems ◽  
Mass Estimation ◽  
Long Period ◽  
The Past ◽  
Galactic Potential ◽  
History Of ◽  
Database Interface ◽  
The Masses ◽  
Period Comet

Context. The second Gaia data release (Gaia DR2) provided us with the precise five-parameter astrometry for 1.3 billion of sources. As stars passing close to the Solar System are thought to influence the dynamical history of long-period comets, we update and extend the list of stars that could potentially perturb the motion of these comets. Aims. We announce a publicly available database containing an up-to-date list of stars and stellar systems potentially perturbing the motion of long-period comets. We add new objects and revise previously published lists. Special emphasis is placed on stellar systems. A discussion of mass estimation is included. Methods. Using the astrometry, preferably from Gaia DR2, augmented with data from other sources, we calculate nominal spatial positions and velocities for each star. To filter studied objects on the basis of their nominal minimum heliocentric distances we numerically integrate the motion of stars under the Galactic potential and their mutual interactions. Results. We announce the updated list of stellar perturbers of cometary motion, including the masses of perturbers along with the publicly available database interface. These data are ready to be used with the observed long-period comets orbits to study an individual influence of a whole sample of perturbers, or specific stars, on a dynamical past or future of a specific comet. New potential perturbers were added; there are 138 more than in the previously published sources. Conclusions. We demonstrate that a new set of prospective perturbers is an important tool in studies of cometary dynamics. The use of our data changes the results of the past and future cometary motion analysis. We point out a puzzling object in our list, star ALS 9243. The Gaia DR2 astrometry suggests a very close encounter of this star with the Sun; however, its astrophysical parameters result in a completely different current distance of ALS 9243 and its high mass.

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