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Aaron Krowne

dblp:62/4395 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Data mining › text mining › information extraction
automatic linking
0.112009
NNexus: An Automatic Linker for Collaborative Web-Based Corpora · IEEE Trans. Knowl. Data Eng. 2009
Information retrieval
search engines
0.112009
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
YearPublicationVenuePosition
2009 NNexus: an automatic linker for collaborative web-based corpora
abstract
Collaborative 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
EDBT2
2009 NNexus: An Automatic Linker for Collaborative Web-Based Corpora
abstract
In 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 Corpus
abstract
Collaborative 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
CollaborateCom2