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Akiko Kondo

dblp:57/273 · DBLP profile ↗
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4ranked-venue papers
3as first author
0since 2021 · last 1996
—ORCID · none

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

Artificial intelligence and machine learning · 3 · 3 first-authorDatabases, data management, data science and information retrieval · 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
Database system architecture and tuning · 77% Data models and query languages · 23%
Computer graphics and multimedia
1 paper
Multimedia systems and quality of experience · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Database system architecture and tuning
multimedia database systems
0.011996
A Next Generation Industry Multimedia Database System · ICDE 1996
Data models and query languages › data modeling
multimedia data model
0.011996
A Next Generation Industry Multimedia Database System · ICDE 1996

Methods — techniques the papers use, named apart from their topics

temporal and spatial operators · 0.0object-oriented database · 0.0
YearPublicationVenuePosition
1996 A Next Generation Industry Multimedia Database System
abstract
New multimedia applications have emerged on top of information infrastructures, such as on-demand services, digital libraries and museums, online shopping and document management, which require new databases. That is, next-generation database systems must enable users to efficiently and flexibly develop and execute such advanced multimedia applications. We focus on development of a database system which enables flexible and efficient acquisition, storage, access and retrieval, and distribution and presentation of large amounts of heterogeneous media data. We take an approach based on an object-oriented database, which is more suitable for the description of media structures and operations than a traditional relational database. We extend the object-oriented approach by providing temporal and spatial operators, and control of distributing computing and QOS (quality of service). In this paper, we describe a multimedia data model and its efficient implementation.
Hiroshi Ishikawa 0004, Koki Kato, Miyuki Ono, Naomi Yoshikawa, Kazumi Kubota, Akiko Kondo
ICDE6
1996 Efficient inference method for computing an optimal solution in predicate-logic hypothetical reasoning
Akiko Kondo, Mitsuru Ishizuka
Knowl. Based Syst.1
1993 Efficient hypothetical reasoning system for predicate-logic knowledge base
Akiko Kondo, Toshiro Makino, Mitsuru Ishizuka
Knowl. Based Syst.1
1991 An efficient hypothetical reasoning system for predicate-logic knowledge-base
abstract
The methods of fast hypothetical reasoning systems developed for propositional logic cannot be applicable in a straightforward manner to the predicate-logic case. A fast hypothetical reasoning mechanism that is effective for predicate-logic knowledge (actually for function-free predicate Horn-clause knowledge) is presented. A reasoning method developed in the deductive database area is effectively applied to this mechanism.>
Akiko Kondo, Toshiro Makino, Mitsuru Ishizuka
ICTAI1