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Marcel Lippmann

dblp:03/7416 · DBLP profile ↗
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4ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · none

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

Artificial intelligence and machine learning · 2Databases, data management, data science and information retrieval · 2Graphics, computer vision, multimedia, augmented reality and games · 1Theory of computation · 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.

Artificial intelligence
1 paper
Knowledge representation and reasoning · 100%
Databases, data mining, and information retrieval
1 paper
Query processing and optimization · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Knowledge representation and reasoning
description logic
0.312017
Query Rewriting for DL-Lite with n-ary Concrete Domains · IJCAI 2017
Knowledge, reasoning and agents › Knowledge representation and reasoning › description logic
DL-Lite
0.312017
Query Rewriting for DL-Lite with n-ary Concrete Domains · IJCAI 2017
Knowledge, reasoning and agents › Knowledge representation and reasoning
ontology-based query answering
0.312017
Query Rewriting for DL-Lite with n-ary Concrete Domains · IJCAI 2017
Knowledge, reasoning and agents › Knowledge representation and reasoning › ontology-based query answering
query rewriting
0.312017
Query Rewriting for DL-Lite with n-ary Concrete Domains · IJCAI 2017
Query processing and optimization
query rewriting
0.112017
Query Rewriting for DL-Lite with n-ary Concrete Domains · IJCAI 2017

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

combined rewriting · 0.6
YearPublicationVenuePosition
2017 Query Rewriting for DL-Lite with n-ary Concrete Domains
abstract
We investigate ontology-based query answering (OBQA) in a setting where both the ontology and the query can refer to concrete values such as numbers and strings. In contrast to previous work on this topic, the built-in predicates used to compare values are not restricted to being unary. We introduce restrictions on these predicates and on the ontology language that allow us to reduce OBQA to query answering in databases using the so-called combined rewriting approach. Though at first sight our restrictions are different from the ones used in previous work, we show that our results strictly subsume some of the existing first-order rewritability results for unary predicates.
Franz Baader, Stefan Borgwardt, Marcel Lippmann
IJCAI3
2015 Temporal query entailment in the Description Logic SHQ
Franz Baader, Stefan Borgwardt, Marcel Lippmann
J. Web Semant.3
2015 Temporalizing rewritable query languages over knowledge bases
Stefan Borgwardt, Marcel Lippmann, Veronika Thost
J. Web Semant.2
2013 Temporalizing Ontology-Based Data Access
Franz Baader, Stefan Borgwardt, Marcel Lippmann
CADE3