Demo Data from EDBT 2026 / reviewers in the wild / expert
Nicole Alexander
dblp:00/166
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2006
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 1 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Databases, data mining, and information retrieval
1 paper |
Graph data management · 62% Data models and query languages · 38% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Graph data management
RDF data management |
0.1 | 1 | 2006 | RDF Object Type and Reification in the Database · ICDE 2006 |
Data models and query languages › data modeling
network data model |
0.0 | 1 | 2006 | RDF Object Type and Reification in the Database · ICDE 2006 |
Data models and query languages › semistructured data
RDF data |
0.0 | 1 | 2006 | RDF Object Type and Reification in the Database · ICDE 2006 |
Methods — techniques the papers use, named apart from their topics
object-relational storage · 0.1network data model · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | RDF Object Type and Reification in the DatabaseabstractThe Resource Description Framework (RDF) is a standard for representing information that can be identified using a Uniform Resource Identifier. In particular, it is intended for representing metadata about Web resources. RDF is being used in numerous application areas, including Life Sciences, Digital Libraries, and Intelligence. The RDF data structure is a directed graph or network. Current solutions to managing RDF data utilize flat relational tables for database storage. This paper presents an alternative approach to managing RDF data in the database. We introduce a new object type for storing RDF data. The object type is built on top of the Oracle Spatial Network Data Model (NDM), which is Oracle’s network solution in the database. This exposes the NDM functionality to RDF data, allowing RDF data to be managed as objects and analyzed as networks. Reification, a means of providing metadata for the RDF data, puts a strain on storage. We present a streamlined approach to representing reified RDF data for faster retrievals. An RDF object type and reification in the database provide the basic infrastructure for effective metadata management. Nicole Alexander, Siva Ravada |
ICDE | 1 |