-
1
-
-
84893137201
-
Reconciling ontologies and the web of data
-
Z. Abedjan, J. Lorey, and F. Naumann. Reconciling ontologies and the web of data. In CIKM, 2012.
-
(2012)
CIKM
-
-
Abedjan, Z.1
Lorey, J.2
Naumann, F.3
-
2
-
-
0011395616
-
Declarative bias for specific-to-general ilp systems
-
H. Adé, L. Raedt, and M. Bruynooghe. Declarative bias for specific-to-general ilp systems. Machine Learning, 20, 1995.
-
(1995)
Machine Learning
, vol.20
-
-
Adé, H.1
Raedt, L.2
Bruynooghe, M.3
-
3
-
-
0027621699
-
Mining association rules between sets of items in large databases
-
R. Agrawal, T. Imieliński, and A. Swami. Mining association rules between sets of items in large databases. In SIGMOD, 1993.
-
(1993)
SIGMOD
-
-
Agrawal, R.1
Imieliński, T.2
Swami, A.3
-
5
-
-
51849098875
-
DBpedia: A nucleus for a Web of open data
-
S. Auer, C. Bizer, G. Kobilarov, J. Lehmann, R. Cyganiak, and Z. G. Ives. DBpedia: A nucleus for a Web of open data. In ISWC, 2007.
-
(2007)
ISWC
-
-
Auer, S.1
Bizer, C.2
Kobilarov, G.3
Lehmann, J.4
Cyganiak, R.5
Ives, Z.G.6
-
6
-
-
24044517207
-
Frequent subtree mining - An overview
-
Y. Chi, R. R. Muntz, S. Nijssen, and J. N. Kok. Frequent Subtree Mining - An Overview. Fundam. Inf., 66(1-2), 2004.
-
(2004)
Fundam. Inf.
, vol.66
, Issue.1-2
-
-
Chi, Y.1
Muntz, R.R.2
Nijssen, S.3
Kok, J.N.4
-
7
-
-
26944490869
-
Comparing conceptual, divisive and agglomerative clustering for learning taxonomies from text
-
P. Cimiano, A. Hotho, and S. Staab. Comparing Conceptual, Divisive and Agglomerative Clustering for Learning Taxonomies from Text. In ECAI, 2004.
-
(2004)
ECAI
-
-
Cimiano, P.1
Hotho, A.2
Staab, S.3
-
9
-
-
79960032696
-
Inductive learning for the semantic web: What does it buy?
-
Apr.
-
C. d'Amato, N. Fanizzi, and F. Esposito. Inductive learning for the Semantic Web: What does it buy? Semant. web, 1(1,2), Apr. 2010.
-
(2010)
Semant. Web
, vol.1
, Issue.1-2
-
-
D'Amato, C.1
Fanizzi, N.2
Esposito, F.3
-
11
-
-
33947709517
-
Discovery of relational association rules
-
Springer-Verlag New York, Inc.
-
L. Dehaspe and H. Toironen. Discovery of relational association rules. In Relational Data Mining. Springer-Verlag New York, Inc., 2000.
-
(2000)
Relational Data Mining
-
-
Dehaspe, L.1
Toironen, H.2
-
13
-
-
84937697127
-
Relational association rules: Getting WARMER
-
Springer Berlin / Heidelberg
-
B. Goethals and J. Van den Bussche. Relational Association Rules: Getting WARMER. In Pattern Detection and Discovery, volume 2447. Springer Berlin / Heidelberg, 2002.
-
(2002)
Pattern Detection and Discovery
, vol.2447
-
-
Goethals, B.1
Bussche Den J.Van2
-
14
-
-
33845397802
-
Learning meta-descriptions of the FOAF network
-
G. A. Grimnes, P. Edwards, and A. D. Preece. Learning Meta-descriptions of the FOAF Network. In ISWC, 2004.
-
(2004)
ISWC
-
-
Grimnes, G.A.1
Edwards, P.2
Preece, A.D.3
-
17
-
-
77957267793
-
The role of semantics in mining frequent patterns from knowledge bases in description logics with rules
-
J. Jozefowska, A. Lawrynowicz, and T. Lukaszewski. The role of semantics in mining frequent patterns from knowledge bases in description logics with rules. Theory Pract. Log. Program., 10(3), 2010.
-
(2010)
Theory Pract. Log. Program.
, vol.10
, Issue.3
-
-
Jozefowska, J.1
Lawrynowicz, A.2
Lukaszewski, T.3
-
18
-
-
78149312583
-
Frequent subgraph discovery
-
IEEE Computer Society
-
M. Kuramochi and G. Karypis. Frequent Subgraph Discovery. In ICDM. IEEE Computer Society, 2001.
-
(2001)
ICDM
-
-
Kuramochi, M.1
Karypis, G.2
-
20
-
-
42949097926
-
Building rules on top of ontologies for the semantic web with inductive logic programming
-
F. A. Lisi. Building rules on top of ontologies for the semantic web with inductive logic programming. TPLP, 8(3):271-300, 2008.
-
(2008)
TPLP
, vol.8
, Issue.3
, pp. 271-300
-
-
Lisi, F.A.1
-
21
-
-
1542326113
-
Clustering ontology-based metadata in the semantic web
-
A. Maedche and V. Zacharias. Clustering Ontology-Based Metadata in the Semantic Web. In PKDD, 2002.
-
(2002)
PKDD
-
-
Maedche, A.1
Zacharias, V.2
-
22
-
-
52149122728
-
L-modified ilp evaluation functions for positive-only biological grammar learning
-
F. Zelezny and N. Lavrac, editors, number 5194 in Lecture notes in artificial intelligence. Springer-Verlag, Berlin / Heidelberg, Germany, Paper originally presented at the 18th International Conference, ILP 2008 Prague, Czech Republic, September 10-12 2008
-
T. Mamer, C. Bryant, and J. McCall. L-modified ilp evaluation functions for positive-only biological grammar learning. In F. Zelezny and N. Lavrac, editors, Inductive logic programming, number 5194 in Lecture notes in artificial intelligence, pages 176-191. Springer-Verlag, Berlin / Heidelberg, Germany, 2008. Paper originally presented at the 18th International Conference, ILP 2008 Prague, Czech Republic, September 10-12 2008.
-
(2008)
Inductive Logic Programming
, pp. 176-191
-
-
Mamer, T.1
Bryant, C.2
McCall, J.3
-
24
-
-
0001898976
-
An environment for merging and testing large ontologies
-
D. L. McGuinness, R. Fikes, J. Rice, and S. Wilder. An Environment for Merging and Testing Large Ontologies. In KR, 2000.
-
(2000)
KR
-
-
McGuinness, D.L.1
Fikes, R.2
Rice, J.3
Wilder, S.4
-
25
-
-
77951503082
-
Inverse entailment and progol
-
S. Muggleton. Inverse entailment and progol. New Generation Comput., 13(3&4), 1995.
-
(1995)
New Generation Comput.
, vol.13
, Issue.3-4
-
-
Muggleton, S.1
-
26
-
-
0002199718
-
Learning from positive data
-
Springer-Verlag
-
S. Muggleton. Learning from positive data. In ILP. Springer-Verlag, 1997.
-
(1997)
ILP
-
-
Muggleton, S.1
-
28
-
-
80052417978
-
Finding association rules in semantic web data
-
V. Nebot and R. Berlanga. Finding association rules in semantic web data. Knowl.-Based Syst., 25(1), 2012.
-
(2012)
Knowl.-Based Syst.
, vol.25
, Issue.1
-
-
Nebot, V.1
Berlanga, R.2
-
29
-
-
84859172690
-
RDF-3X: A RISC-style engine for RDF
-
Aug.
-
T. Neumann and G. Weikum. RDF-3X: a RISC-style engine for RDF. Proc. VLDB Endow., 1(1), Aug. 2008.
-
(2008)
Proc. VLDB Endow.
, vol.1
, Issue.1
-
-
Neumann, T.1
Weikum, G.2
-
30
-
-
0002295374
-
PROMPT: Algorithm and tool for automated ontology merging and alignment
-
AAAI Press
-
N. F. Noy and M. A. Musen. PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment. In AAAI/IAAI. AAAI Press, 2000.
-
(2000)
AAAI/IAAI
-
-
Noy, N.F.1
Musen, M.A.2
-
33
-
-
84861067655
-
PARIS: Probabilistic alignment of relations instances and schema
-
F. M. Suchanek, S. Abiteboul, and P. Senellart. PARIS: Probabilistic Alignment of Relations, Instances, and Schema. PVLDB, 5(3), 2011.
-
(2011)
PVLDB
, vol.5
, Issue.3
-
-
Suchanek, F.M.1
Abiteboul, S.2
Senellart, P.3
-
36
-
-
0242625291
-
Selecting the right interestingness measure for association patterns
-
P.-N. Tan, V. Kumar, and J. Srivastava. Selecting the right interestingness measure for association patterns. In KDD, 2002.
-
(2002)
KDD
-
-
Tan, P.-N.1
Kumar, V.2
Srivastava, J.3
-
37
-
-
84871040035
-
Statistical schema induction
-
J. Völker and M. Niepert. Statistical schema induction. In ESWC, 2011.
-
(2011)
ESWC
-
-
Völker, J.1
Niepert, M.2
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