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LHD 2.0: A Text Mining Approach to Typing Entities in Knowledge Graphs

Tomas Kliegr, Onddej Zamazal
2016 Social Science Research Network  
The supervised results are obtained from a hierarchy of Support Vector Machines classifiers (hSVM) trained on the bag-of-words representation of short abstracts and categories of Wikipedia articles.  ...  The hierarchical precision of our hSVM and STI approaches is comparable to SDType, the current state-of-theart type inference algorithm, while the set of applicable instances is largely complementary to  ...  Ondřej Zamazal has been additionally supported by the CSF grant no. 14-14076P, "COSOL -Categorization of Ontologies in Support of Ontology Life Cycle".  ... 
doi:10.2139/ssrn.3199238 fatcat:mmw5m2b55veknc5kaspfmpam5m

Type Prediction in RDF Knowledge Bases Using Hierarchical Multilabel Classification

2016 Proceedings of the 6th International Conference on Web Intelligence, Mining and Semantics - WIMS '16  
We compare the performance of our proposed method with a state-of-the-art type prediction approach and popular hierarchical multilabel classifiers, and report on experiments with large-scale RDF datasets  ...  Since most Semantic Web knowledge bases come with an ontology defining a type hierarchy, in this paper, we rephrase the type prediction problem as a hierarchical multilabel classification problem.  ...  of Knowledge Graphs on the Web).  ... 
doi:10.1145/2912845.2912861 dblp:conf/wims/MeloPV16 fatcat:ann3y6krm5cfnhsm24fcetzjdq

Two-stage Semantic Answer Type Prediction for Question Answering using BERT and Class-Specificity Rewarding

Christos Nikas, Pavlos Fafalios, Yannis Tzitzikas
2020 International Semantic Web Conference  
In this paper we focus on semantic answer type prediction where the candidate types come from a class hierarchy of a general-purpose ontology.  ...  To cope with the harder problem of answer resource type prediction, we enrich the BERT classifier with a rewarding mechanism that favors the more specific ontology classes that are low in the class hierarchy  ...  We consider the case where the resource classes belong to a rich class hierarchy of an ontology containing a large number of classes (e.g., >500), and model the problem as a set of sequence classification  ... 
dblp:conf/semweb/NikasFT20 fatcat:ep6qnxolofgd3ob6g53kl5s5ra

Type Inference on Noisy RDF Data [chapter]

Heiko Paulheim, Christian Bizer
2013 Lecture Notes in Computer Science  
That makes classic type inference by reasoning difficult. In this paper, we propose the heuristic link-based type inference mechanism SD-Type, which can handle noisy and incorrect data.  ...  However, most large open knowledge bases are incomplete with respect to type information, and, at the same time, contain noisy and incorrect data.  ...  The authors would like to thank Christian Meilicke for his valuable feedback on this paper.  ... 
doi:10.1007/978-3-642-41335-3_32 fatcat:oy6s327p2va2lnt5sj37gn72bi

Type Prediction in Noisy RDF Knowledge Bases Using Hierarchical Multilabel Classification with Graph and Latent Features

Andre Melo, Johanna Völker, Heiko Paulheim
2017 International journal on artificial intelligence tools  
Most knowledge bases contain an ontology defining a type hierarchy, and, in general, entities are allowed to have multiple types (classes of an instance assigned with the rdf:type relation).  ...  One possible reason that hierarchical multilabel classification has not been applied in the field may be scalability issues when applying those methods to large-scale SW knowledge bases.  ...  of Knowledge Graphs on the Web).  ... 
doi:10.1142/s0218213017600119 fatcat:mv3xo2pfszhfbf6bf6mqjbfnye

Accessing Linked Open Data via A Common Ontology

Kiril Ivanov Simov, Atanas Kiryakov
2017 Recent Advances in Natural Language Processing  
FactForge is designed also as a use case for large-scale reasoning and data integration. We describe the datasets, ontologies, inference rules, and manipulations done over the data.  ...  Each of the mapping rules relates a PROTON class or a PROTON property to the corresponding class or property of the other ontologies.  ...  For example, in the Geonames dataset geographical objects are classified by codes and not by an ontology hierarchy.  ... 
dblp:conf/ranlp/SimovK17 fatcat:rbdhseqy6ndyrmtwnvovtl4tze

Action Planning based on Open Knowledge Graphs and LOD

Seiji Koide, Fumihiro Kato, Hideaki Takeda, Yuta Ochiai, Kenki Ueda
2017 Joint International Conference of Semantic Technology  
We develop the inference procedure to translate user requests into SPARQL queries to obtain a recommendation on appropriate facilities for users.  ...  In this preliminary report, we show how action planning is realized by using LOD datasets, e.g., Linked Geo Data, DBpedia, Word-Net, etc.  ...  We constructed an ontology of services apart from facility classes, so that services are independently recognizable, and it enabled us to expand the performance of inference by applying the hierarchy of  ... 
dblp:conf/jist/KoideK0OU17 fatcat:hnvz5bdb5rc53aqabpzcnpu77e

Thematic signatures for cleansing and enriching place-related linked data

Benjamin Adams, Krzysztof Janowicz
2015 International Journal of Geographical Information Science  
As proof-of-concept, we demonstrate that this enables the automatic categorization of articles into place types defined in the DBpedia ontology (e.g., mountain), and also provides a mechanism to infer  ...  relationships between place types that are not captured in existing ontologies.  ...  In the DBpedia dataset, Santa Barbara, CA 1 is classified as a City and Cape Norman 2 in Newfoundland is not classified as any type.  ... 
doi:10.1080/13658816.2014.989855 fatcat:zwktyofidfby3n5yta2w3d3ppe

Type inference through the analysis of Wikipedia links

Andrea Giovanni Nuzzolese, Aldo Gangemi, Valentina Presutti, Paolo Ciancarini
2012 The Web Conference  
DBpedia contains millions of untyped entities, either if we consider the native DBpedia ontology, or Yago plus Word-Net. Is it possible to automatically classify those entities?  ...  Concerning the DBpedia link structure, we describe some measurements and notice both problems (e.g. the bias that could be induced by the incomplete ontological coverage of the DBpedia ontology), and potentials  ...  The types used to classify DBpedia resources are the classes of the DBpedia ontology 1 (DBPO). DBPO ontology is represented in OWL [11] and covers 272 classes.  ... 
dblp:conf/www/NuzzoleseGPC12 fatcat:27j7ugvwlzegljthg3lie6e54u

Capturing Emerging Relations between Schema Ontologies on the Web of Data

Andriy Nikolov, Enrico Motta
2010 International Semantic Web Conference  
In our experiments, we applied this approach on a large scale to generate schema-level mappings between several Linked Data repositories.  ...  Semantic heterogeneity caused by the use of different ontologies to describe the same topics represents an obstacle for many data integration tasks on the Web of Data, in particular, discovering relevant  ...  The authors would like to thank Paul Groth and Cristophe Gueret for providing the 4store Amazon EC2 community server hosting the BTC dataset.  ... 
dblp:conf/semweb/NikolovM10 fatcat:xiciklpwffa43ahe4jnt6qlmne

Supervised and Unsupervised Approaches to the Ontology-Based Disambiguation of JSON Documents

Chinmay Choudhary, Matthias Nickles, Colm O'Riordan
2017 Irish Conference on Artificial Intelligence and Cognitive Science  
ontology classes.  ...  between a class and the object indicated by the Textual Similarity score.  ...  One such ontology system is DBpedia which presents entire information available on Wikipedia in structured form as Linked data by classifying all Wikipedia articles as hierarchy of classes or concepts  ... 
dblp:conf/aics/ChoudharyNO17 fatcat:lmqq6m64wze57pzjtm5tcdkevq

An Approach to Evaluate Class Assignment Semantic Redundancy on Linked Datasets [chapter]

Leandro Mendoza, Alicia Díaz
2017 Communications in Computer and Information Science  
Finally, we performed an evaluation on the DBpedia dataset using SPARQL queries for data redundancy checks.  ...  We discuss how redundancy can be evaluated as well as the relationship between redundancy and three class hierarchy aspects: the number of instances a class has, number of class descendants and class depth  ...  Although resources in DBpedia are classified using several classes of different schema we only considered the DBpedia 9 core and YAGO 10 ontologies because information about the involved class hierarchies  ... 
doi:10.1007/978-3-319-55209-5_7 fatcat:xb3eavdz3ncxxd3e2rgsa4xr6m

A Simple Method for Inducing Class Taxonomies in Knowledge Graphs [chapter]

Marcin Pietrasik, Marek Reformat
2020 Lecture Notes in Computer Science  
We demonstrate the use of our method on three real-world datasets and compare our results with existing tag hierarchy induction methods.  ...  Ontologies, which provide the axiomatic foundation on which knowledge graphs are built, are often governed by a set of class subsumption axioms.  ...  The DBpedia gold standard taxonomy was generated from the DBpedia ontology class mappings which can be found on the DBpedia website 4 .  ... 
doi:10.1007/978-3-030-49461-2_4 fatcat:mlmi72s5yzev5c7slp7764qpuu

Large-scale Taxonomy Induction Using Entity and Word Embeddings [article]

Petar Ristoski, Stefano Faralli, Simone Paolo Ponzetto, Heiko Paulheim
2021 arXiv   pre-print
We apply the approach on the WebIsA database, a database of subsumption relations extracted from the large portion of the World Wide Web, to extract class hierarchies in the Person and Place domain.  ...  Taxonomies are an important ingredient of knowledge organization, and serve as a backbone for more sophisticated knowledge representations in intelligent systems, such as formal ontologies.  ...  Acknowledgments The work presented in this paper has been partially funded by the Junior-professor funding programme of the Ministry of Science, Research and the Arts of the state of Baden-Württemberg  ... 
arXiv:2105.01305v1 fatcat:jumpykdqdvbtloqgtoqn7ggfle

Inductive Entity Typing Alignment

Giuseppe Rizzo, Marieke van Erp, Raphaël Troncy
2014 International Semantic Web Conference  
We present experiments on two named entity recognition benchmark datasets, namely the CoNLL2003 newswire dataset and the MSM2013 microposts dataset.  ...  Often taxonomies are mapped manually onto each other or onto a standardized ontology but at the loss of subtleties between di↵erent class extensions and domain specific uses of the taxonomy.  ...  Acknowledgments The research leading to this paper was partially supported by the European Union's 7th Framework Programme via the projects LinkedTV (GA 287911) and NewsReader (ICT-316404).  ... 
dblp:conf/semweb/RizzoET14 fatcat:e7s7s7gehrctpeo7i3xz56lw3e
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