Demo Data from EDBT 2026 / reviewers in the wild / expert
Douglas B. Lenat
dblp:68/5550 · also Doug Lenat
· DBLP profile ↗
27ranked-venue papers
22as first author
0since 2021 · last 2006
0000-0001-9637-0046ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 24 · 19 first-authorGraphics, computer vision, multimedia, augmented reality and games · 14 · 10 first-authorDatabases, data management, data science and information retrieval · 3 · 3 first-authorTheory of computation · 2 · 2 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.
| Artificial intelligence
22 papers |
Knowledge representation and reasoning · 89% Planning, search and constraint satisfaction · 11% Multi-agent systems · 0% | |
| Network and information security
1 paper |
Network security · 100% | |
| Databases, data mining, and information retrieval
2 papers |
Knowledge graphs · 80% Database system architecture and tuning · 20% |
Topics — the 17 heaviest of 22, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Knowledge representation and reasoning › commonsense reasoning
commonsense knowledge |
0.1 | 1 | 2005 | Searching for Common Sense: Populating Cyc™ from the Web · AAAI 2005 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
ontology |
0.0 | 2 | 2005 | A Knowledge-Based Approach to Network Security: Applying Cyc in the Domain of Network Risk Assessment · AAAI 2005 Ontological Versus Knowledge Engineering · IEEE Trans. Knowl. Data Eng. 1989 |
Knowledge, reasoning and agents › Planning, search and constraint satisfaction
heuristic search |
0.0 | 7 | 1984 | Why AM and EURISKO Appear to Work · Artif. Intell. 1984 EURISKO: A Program That Learns New Heuristics and Domain Concepts · Artif. Intell. 1983 Theory Formation by Heuristic Search · Artif. Intell. 1983 |
Knowledge graphs
knowledge base population |
0.0 | 1 | 2005 | Searching for Common Sense: Populating Cyc™ from the Web · AAAI 2005 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
knowledge base |
0.0 | 2 | 1995 | VERY Large Knowledge Bases - Architecture vs Engineering · IJCAI 1995 Knoesphere: Building Expert Systems With Encyclopedic Knowledge · IJCAI 1983 |
Knowledge, reasoning and agents › Knowledge representation and reasoning › knowledge-based systems
large knowledge bases |
0.0 | 1 | 1995 | VERY Large Knowledge Bases - Architecture vs Engineering · IJCAI 1995 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
commonsense reasoning |
0.0 | 1 | 1991 | Computers versus Common Sense · SIGMOD Conference 1991 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
expert systems |
0.0 | 3 | 1983 | An Expert System for Indications and Warning Analysis · IJCAI 1983 Knoesphere: Building Expert Systems With Encyclopedic Knowledge · IJCAI 1983 BEINGS: Knowledge as Interacting Experts · IJCAI 1975 |
Knowledge, reasoning and agents › Knowledge representation and reasoning › ontology
ontology engineering |
0.0 | 1 | 1989 | Ontological Versus Knowledge Engineering · IEEE Trans. Knowl. Data Eng. 1989 |
Knowledge, reasoning and agents › Knowledge representation and reasoning › knowledge discovery
discovery systems |
0.0 | 3 | 1984 | Why AM and EURISKO Appear to Work · Artif. Intell. 1984 The Ubiquity of Discovery · Artif. Intell. 1977 Computers and Thought Lecture: The Ubiquity of Discovery · IJCAI 1977 |
Knowledge, reasoning and agents › Planning, search and constraint satisfaction › heuristic search › heuristic generation
heuristic learning |
0.0 | 1 | 1983 | EURISKO: A Program That Learns New Heuristics and Domain Concepts · Artif. Intell. 1983 |
Knowledge, reasoning and agents › Knowledge representation and reasoning › automated reasoning
theory formation |
0.0 | 1 | 1983 | Theory Formation by Heuristic Search · Artif. Intell. 1983 |
Knowledge, reasoning and agents › Knowledge representation and reasoning › knowledge acquisition
knowledge base construction |
0.0 | 1 | 1989 | Ontological Versus Knowledge Engineering · IEEE Trans. Knowl. Data Eng. 1989 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
representation language |
0.0 | 1 | 1980 | A Representation Language Language · AAAI 1980 |
Programming languages and type systems
language design |
0.0 | 1 | 1980 | A Representation Language Language · AAAI 1980 |
Knowledge, reasoning and agents › Knowledge representation and reasoning › knowledge-based systems › rule-based systems
production systems |
0.0 | 1 | 1977 | Less Than General Production System Architectures · IJCAI 1977 |
Knowledge, reasoning and agents › Knowledge representation and reasoning › knowledge-based systems › rule-based systems
production system architectures |
0.0 | 1 | 1977 | Less Than General Production System Architectures · IJCAI 1977 |
Methods — techniques the papers use, named apart from their topics
web mining · 0.1ontology reasoning · 0.1knowledge base · 0.1mathematical discovery · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | Problems of Scale in Building, Maintaining and Using Very Large Formal Ontologies
Douglas B. Lenat |
FOIS | 1 |
| 2005 | Searching for Common Sense: Populating Cyc™ from the Web
Cynthia Matuszek, Michael Witbrock, Robert C. Kahlert, John Cabral, David Schneider 0005, Purvesh Shah, Douglas B. Lenat |
AAAI | 7 |
| 2005 | A Knowledge-Based Approach to Network Security: Applying Cyc in the Domain of Network Risk Assessment
Blake Shepard, Cynthia Matuszek, C. Bruce Fraser, William Wechtenhiser, David Crabbe, Zelal Güngördü, John Jantos, Todd Hughes, Larry Lefkowitz, Michael Witbrock, Douglas B. Lenat, Erik Larson |
AAAI | 11 |
| 2005 | Scaling Up: Computers vs. Common Sense
Douglas B. Lenat |
LPAR | 1 |
| 1995 | VERY Large Knowledge Bases - Architecture vs Engineering
James A. Hendler, Jaime G. Carbonell, Douglas B. Lenat, Riichiro Mizoguchi, Paul S. Rosenbloom |
IJCAI | 3 |
| 1993 | Re: CycLing Paper Reviews
Ramanathan V. Guha, Douglas B. Lenat |
Artif. Intell. | 2 |
| 1991 | Computers versus Common Sense
Douglas B. Lenat |
SIGMOD Conference | 1 |
| 1991 | On the Thresholds of Knowledge
Douglas B. Lenat, Edward A. Feigenbaum |
Artif. Intell. | 1 |
| 1989 | When Will Machines Learn?
Douglas B. Lenat |
Mach. Learn. | 1 |
| 1989 | Ontological Versus Knowledge EngineeringabstractThe author first discusses the difference between a knowledge base (KB) and a database (DB), which seems to hinge on the 'gray box' verses 'black box' nature of the entries. He then discusses the need for a huge KB to break today's bottleneck in intelligent systems, i.e. their brittleness when confronted by unforeseen problems. That same brittleness-the representation trap-is what prevents multiple expert systems from cooperating or even sharing rules. The author then considers the central question of the present work: How is the task of building a huge KB different from that of building n small KBs? It is shown that this leads into the realm of ontological engineering, and it is found that there is no single, elegant 'use-neutral' solution to the problem, at least not at present, but that a kind of variegated 'tool-box' approach might succeed.> Douglas B. Lenat |
IEEE Trans. Knowl. Data Eng. | 1 |
| 1989 | Correction to "Ontological Versus Knowledge Engineering"abstractThe author previously cited an incorrect publisher (see ibid., vol.1, p.84-8, 1989). The correct publisher information is: Reading, MA: Addison Wesley.> Douglas B. Lenat |
IEEE Trans. Knowl. Data Eng. | 1 |
| 1987 | On the Thresholds of Knowledge
Douglas B. Lenat, Edward A. Feigenbaum |
IJCAI | 1 |
| 1984 | Why AM and EURISKO Appear to Work
Douglas B. Lenat, John Seely Brown |
Artif. Intell. | 1 |
| 1983 | Why AM and Eurisko Appear to Work
Douglas B. Lenat, John Seely Brown |
AAAI | 1 |
| 1983 | Knoesphere: Building Expert Systems With Encyclopedic Knowledge
Douglas B. Lenat, Alan Borning, David W. McDonald, Craig Taylor, Steven Weyer |
IJCAI | 1 |
| 1983 | An Expert System for Indications and Warning Analysis
Douglas B. Lenat, Albert Clarkson, Garo Kiremidjian |
IJCAI | 1 |
| 1983 | Theory Formation by Heuristic Search
Douglas B. Lenat |
Artif. Intell. | 1 |
| 1983 | EURISKO: A Program That Learns New Heuristics and Domain Concepts
Douglas B. Lenat |
Artif. Intell. | 1 |
| 1982 | Heuretics: Theoretical and Experimental Study of Heuristic Rules
Douglas B. Lenat |
AAAI | 1 |
| 1982 | The Nature of Heuristics
Douglas B. Lenat |
Artif. Intell. | 1 |
| 1980 | A Representation Language Language
Russell Greiner, Douglas B. Lenat |
AAAI | 2 |
| 1979 | Cognitive Economy in Artificial Intelligence Systems
Douglas B. Lenat, Frederick Hayes-Roth, Philip Klahr |
IJCAI | 1 |
| 1977 | Computers and Thought Lecture: The Ubiquity of Discovery
Douglas B. Lenat |
IJCAI | 1 |
| 1977 | Automated Theory Formation in Mathematics
Douglas B. Lenat |
IJCAI | 1 |
| 1977 | Less Than General Production System Architectures
Douglas B. Lenat, John P. McDermott |
IJCAI | 1 |
| 1977 | The Ubiquity of Discovery
Douglas B. Lenat |
Artif. Intell. | 1 |
| 1975 | BEINGS: Knowledge as Interacting Experts
Douglas B. Lenat |
IJCAI | 1 |