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Robert J. Glushko

dblp:99/6706 · DBLP profile ↗
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4ranked-venue papers
2as first author
2since 2021 · last 2025
0000-0002-2387-5761ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 2 since 2021Applied, interdisciplinary, general and emerging computing · 2 · 2 since 2021Databases, data management, data science and information retrieval · 1 · 1 first-authorHuman-computer interaction and ubiquitous computing · 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
Information retrieval · 100%
Computer graphics and multimedia
1 paper
Multimedia systems and quality of experience · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information retrieval › document processing › document analysis
document layout analysis
0.011989
Transforming text into hypertext for a compact disc encyclopedia · CHI 1989
Information retrieval › document organization
hypertext
0.011989
Transforming text into hypertext for a compact disc encyclopedia · CHI 1989
Information retrieval
user interface design
0.011989
Transforming text into hypertext for a compact disc encyclopedia · CHI 1989
YearPublicationVenuePosition
2025 Workshop: Succeeding in the Start-up Ecosystem
Linus Liang, Robert J. Glushko, Douglas Bemis, Sam Ramji, Andreas Stuhlmüller
CogSci2
2024 Rapprochement, not Detente: How Cognitive Science and Industry can get back to getting along, and make each other better along the way
David Landy, Robert J. Glushko
CogSci2
2002 Document engineering for e-business
abstract
It can be said that "document exchange" is the "mother of all patterns" for business (and for e-business). Yet, by itself this view isn't sufficiently prescriptive. In this paper, we present additional perspectives or frameworks that make this abstraction more rigorous and useful. We describe an approach to artifact-driven analysis, model refinement, and implementation for document-intensive systems that unifies the "document analysis" approach from publishing and the "data analysis" approach from information systems. These traditionally contrasting approaches to understanding documents are unified in an "Analysis Spectrum" in which presentational, structural, and content components assume different weights or status. Our methodology emphasizes reuse with a "Reuse Matrix," in which both business process (or document exchange) patterns and document schema patterns are organized by different levels of abstraction and scope. Enterprise-level patterns like "supply chain" and "marketplace" can fit into this matrix along with process patterns like "RosettaNet PIP" and document patterns like the "XML Common Business Library." Taken together, these concepts form the foundation of a new discipline: "Document Engineering for e-Business.
Robert J. Glushko, Tim McGrath
ACM Symposium on Document Engineering1
1989 Transforming text into hypertext for a compact disc encyclopedia
abstract
A hypertext version of a multi-volume engineering encyclopedia on a compact disc is described. The methods for characterizing the explicit and implicit structure of the document, the novel user interface to the compact disc version, and the design and development lessons that apply to any hypertext project involving realistic amounts of text and graphics are discussed.
Robert J. Glushko
CHI1