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Improving Relation Extraction by Using an Ontology Class Hierarchy Feature
[chapter]
2015
Lecture Notes in Computer Science
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This paper proposes a new ontology class hierarchy feature to improve relation extraction when applying a method based on the distant supervision approach. ...
It argues in favour of the expressiveness of the feature, in multi-class perceptrons, by experimentally showing its effectiveness when compared with combinations of (regular) lexical features. ...
Conclusions In this paper, we introduced a feature defined by ontology class hierarchies to improve relation extraction methods based on the distant supervision approach. ...
doi:10.1007/978-3-319-26187-4_20
fatcat:jvchi25x5jhmhpg43lp6y4twxy
Distant Supervision for Relation Extraction Using Ontology Class Hierarchy-Based Features
[chapter]
2014
Lecture Notes in Computer Science
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In particular, the classifier uses a feature based on the class hierarchy of an ontology that, in conjunction with basic lexical features, improves accuracy and recall. ...
The paper contains extensive experiments, using a corpus extracted from the Wikipedia and the DBpedia ontology, to demonstrate the usefulness of the new feature. ...
In particular, the classifier uses a feature based on the class hierarchy of an ontology that, in conjunction with basic lexical features, improves accuracy and recall. ...
doi:10.1007/978-3-319-11955-7_68
fatcat:qfrjdxdyujcptnfirpowko7eie
Automatic Extraction of Hierarchical Relations from Text
[chapter]
2006
Lecture Notes in Computer Science
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The results show there is a trade-off among these factors for relation extraction and the features containing more information such as semantic ones can improve the performance of the ontological relation ...
Automatic extraction of semantic relationships between entity instances in an ontology is useful for attaching richer semantic metadata to documents. ...
The ACE2004 Relation Hierarchy In an ontology, the concepts are not only organised in a taxonomy representing IS-A relations, but also linked together by semantic relations such as Part-Whole, Subsidiary ...
doi:10.1007/11762256_18
fatcat:fknmei4gezdznev7fdxibrei6i
New-Fangled Alignment of Ontologies for Content Based Semantic Image Retrieval
2015
Procedia Computer Science
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To overcome this weakness, proposed image retrieval system designed using core semantic multiple ontology which merges feature ontology, semantic feature ontology, user ontology and metadata ontology. ...
This paper highlights content based image retrieval system using alignment of ontologies. The traditional contents-based image retrieval systems using single ontology retrieve imprecise images. ...
Ontologies are often equated with taxonomic hierarchies of classes, class definitions, and the subsumption relation. ...
doi:10.1016/j.procs.2015.04.185
fatcat:zxe7fjinmbeo3ptokasdqkftoa
Leveraging Machine Learning to Extend Ontology-Driven Geographic Object-Based Image Analysis (O-GEOBIA): A Case Study in Forest-Type Mapping
2019
Remote Sensing
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Using relevant features extracted from the Boruta algorithm, the classification accuracy is further improved (82.57%). ...
The results demonstrate that the use of relevant variogram features together with spectral and LiDAR features resulted in improved classification accuracy. ...
The semantic relations approach is based on the semantic relations between classes and uses an ontology. A semantic variogram is used for this approach. ...
doi:10.3390/rs11050503
fatcat:fr5mort43vcblckcgej4psgvni
DOG I : An Annotation System for Images of Dog Breeds
[chapter]
2012
Lecture Notes in Computer Science
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Annotation relies on feature extraction and on associating low-level features with image concepts in an ontology. ...
Evaluation results are realized using images collected from the Web. Almost 95% of the test images is correctly annotated (i.e., DOGI identified their class correctly). ...
Class descriptions are complemented by an enhanced set of low-level features extracted from the image instances of the class. ...
doi:10.1007/978-3-642-31295-3_48
fatcat:ba43tsichfgm7oew7bc7szoo4i
Sentiment-Based Semantic Rule Learning for Improved Product Recommendations
[chapter]
2018
Machine Learning - Advanced Techniques and Emerging Applications
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These parent features are present at the higher level near the root of the ontology. The sentiments of the related product features are also improved. ...
This approach improves the sentiments of the parent features and the related features that eventually improve the aggregated sentiment of the product. ...
Author details Figure 1 . 1 Class hierarchies and related classes in PROO.
Figure 2 . 2 Model for improving the sentiments of the product features. ...
doi:10.5772/intechopen.72514
fatcat:qlsvcr33dzgqjepsoixcbkzj7y
Exploring Reasoning with the DMOP Ontology
2014
International Workshop on OWL Reasoner Evaluation
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The choices made led to v5.4 of the DMOP ontology. We report some evaluations on processing DMOP with a standard reasoner by considering different DMOP features. ...
We describe the Data Mining OPtimization Ontology (DMOP), which was developed to support informed decision-making at various choice points of the knowledge discovery (KD) process. ...
The top levels of the algorithm hierarchy match those of the task hierarchy, since each algorithm class is defined by the task it addresses, but the overall hierarchy is much deeper, since there is an ...
dblp:conf/ore/KeetdKL14
fatcat:enjgk6vanrdhlp5ypafljolnui
Ontology-Driven Cross-Domain Transfer Learning
[chapter]
2020
Frontiers in Artificial Intelligence and Applications
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We show that ontologies, if properly designed, are able to support transfer learning by improving generalization and discrimination across classes. ...
We validate the solution on an experiment over an image classification task, demonstrating the system's improved classification performance. ...
This paper was supported by the WeNet project, funded by the European Union (EU) Horizon 2020 programme under grant number 823783. ...
doi:10.3233/faia200676
fatcat:7o3vjapgqjbd7emszxpzutmzce
Classifying Biomedical Text Abstracts Based On Hierarchical 'Concept' Structure
2011
Zenodo
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In this paper, we present an approach for classifying a collection of biomedical text abstracts downloaded from Medline database with the help of ontology alignment. ...
Then, we enrich the OHSUMED disease hierarchy before adapting it to ontology alignment process for finding probable concepts or categories. ...
ACKNOWLEDGMENT This work was supported in part by Global COE Program "Frontiers of Intelligent Sensing" from the Ministry of Education, Culture, Sports, Science and Technology, Japan. ...
doi:10.5281/zenodo.1080995
fatcat:zjjn3mx6z5ax5jkvvxl72w5suq
Ontology extraction from relational database: Concept hierarchy as background knowledge
2011
Knowledge-Based Systems
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This paper proposed the approach for ontology extraction on top of RDB by incorporating concept hierarchy as background knowledge. ...
Relational Database (RDB) has been widely used as the back-end database of information system. ...
The following are the rules for mapping (1) If there is an is -a relation between r 1 and r 2 represented by binary relation, and the associated classes of them are connected by an edge in a concept hierarchy ...
doi:10.1016/j.knosys.2010.11.003
fatcat:omsiivrjrzc4jkqqb4j7ktupcq
Concept Hierarchy Extraction from Legal Literature
2018
International Conference on Information and Knowledge Management
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Since different authors have their own notion of hierarchy given by the table of con-tents, we propose a heterogeneous lightweight ontology allowing for the coexistence of similar, yet diverse concept ...
Starting with rule-based annotation, we cluster extracted references, given their context features derived from tables of contents and reasons for citing from various textbook formats. ...
The work is supported by Legal Horizon AG, Grant No.:1704/00082 ...
dblp:conf/cikm/WehnertBLS18
fatcat:hs56kcg5offy5avbat6eihtxtu
Exploring binary relations for ontology extension and improved adaptation to clinical text
[article]
2020
bioRxiv
pre-print
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The controlled domain vocabularies provided by ontologies make them an indispensable tool for text mining. ...
Results: We develop and present a framework for identifying new classes in text corpora, which can be integrated into existing ontology hierarchies. ...
Description of our workflow to extract new classes from a corpus by annotating a text, and examining binary relations.
3/11 . ...
doi:10.1101/2020.12.04.411751
fatcat:nkqstiv5cvb5bkionx5luu4z6i
KOSIMap: Use of Description Logic Reasoning to Align Heterogeneous Ontologies
2010
International Workshop on Description Logics
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In this paper, we describe the Knowledge Organisation System Implicit Mapping (KOSIMap) framework, which differs from existing ontology mapping approaches by using description logic reasoning (i) to extract ...
Such interoperability can be achieved by identifying similar information in heterogeneous ontologies. ...
Thus, this further suggests that the use of the implicit hierarchy improves the coverage of the ontology mapping task. ...
dblp:conf/dlog/ReulP10
fatcat:knk722ur5bb3xkqbxljiqpb374
Product Domain Ontology Construction: Based on Online Review Features and Opinion Quintuple
2020
DEStech Transactions on Engineering and Technology Research
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This study extracts domain concepts both from professional and user-generated contents. All elements in opinion quintuple are expressed in the ontology. ...
Based on the current literature research of online review and opinion mining demand, this paper focus on ontology construction in ontology-based opinion mining procedure to improve the effect of opinion ...
Acknowledgement This work was financially supported by the Jiangasu Provience Social Science Foundation (16TQB009) and Jiangsu Provience University Philosophy and Social Science Foundation (2017SJB1892 ...
doi:10.12783/dtetr/amee2019/33483
fatcat:6gsiakwvszhxzovmanp2t2yvce
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