Demo Data from SIGIR 2026 / reviewers in the wild / expert
Aaron Krowne
dblp:62/4395
· DBLP profile ↗
3ranked-venue papers
0as first author
0since 2021 · last 2009
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 2Human-computer interaction and ubiquitous computing · 1
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 |
Information retrieval · 44% Data mining · 44% Knowledge graphs · 13% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Data mining › text mining › information extraction
automatic linking |
0.1 | 1 | 2009 | NNexus: An Automatic Linker for Collaborative Web-Based Corpora · IEEE Trans. Knowl. Data Eng. 2009 |
Information retrieval
search engines |
0.1 | 1 | 2009 | NNexus: An Automatic Linker for Collaborative Web-Based Corpora · IEEE Trans. Knowl. Data Eng. 2009 |
Methods — techniques the papers use, named apart from their topics
subject classification · 0.1metadata · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | NNexus: an automatic linker for collaborative web-based corporaabstractCollaborative online encyclopedias or knowledge bases such as Wikipedia and PlanetMath are becoming increasingly popular. We demonstrate NNexus, a generalization of the automatic linking engine of PlanetMath.org and the first system that automates the process of linking disparate encyclopedia entries into a fully-connected conceptual network. The main challenges of this problem space include: 1) linking quality (correctly identifying which terms to link and which entry to link to with minimal effort on the part of users), 2) efficiency and scalability, and 3) generalization to multiple knowledge bases and web-based information environment. We present NNexus that utilizes subject classification and other metadata to address these challenges and demonstrate its effectiveness and efficiency through multiple real world corpora. James J. Gardner, Aaron Krowne, Li Xiong 0001 |
EDBT | 2 |
| 2009 | NNexus: An Automatic Linker for Collaborative Web-Based CorporaabstractIn this paper, we introduce Noosphere Networked Entry eXtension and Unification System (NNexus), a generalization of the automatic linking engine of Noosphere (at PlanetMath.org) and the first system that automates the process of linking disparate "encyclopediardquo entries into a fully connected conceptual network. The main challenges of this problem space include: 1) linking quality (correctly identifying which terms to link and which entry to link to with minimal effort on the part of users), 2) efficiency and scalability, and 3) generalization to multiple knowledge bases and web-based information environment. We present the NNexus approach that utilizes subject classification and other metadata to address these challenges. We also present evaluation results demonstrating the effectiveness and efficiency of the approach and discuss ongoing and future directions of research. James J. Gardner, Aaron Krowne, Li Xiong 0001 |
IEEE Trans. Knowl. Data Eng. | 2 |
| 2006 | NNexus: Towards an Automatic Linker for a Massively-Distributed Collaborative CorpusabstractCollaborative online encyclopedias such as Wikipedia and PlanetMath are becoming increasingly popular. In order to understand an article in a corpus a user must understand the related and underlying concepts through linked articles. In this paper, we introduce NNexus, a generalization of the automatic linking component of PlanetMath.org and the first system that automates the process of linking encyclopedia entries into a semantic network of concepts. We discuss the challenges, present the conceptual models as well as specific mechanisms of NNexus system, and discuss some of our ongoing and completed works James J. Gardner, Aaron Krowne, Li Xiong 0001 |
CollaborateCom | 2 |