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Ontology summarization based on rdf sentence graph

Xiang Zhang, Gong Cheng, Yuzhong Qu
2007 Proceedings of the 16th international conference on World Wide Web - WWW '07  
We propose a notion of RDF sentence as the basic unit of summarization. An RDF Sentence Graph is proposed to characterize the links between RDF sentences derived from a given ontology.  ...  The salience of each RDF sentence is assessed in terms of its "centrality" in the graph.  ...  CONCLUSION AND FUTURE WORK In this paper, we proposed a novel approach to automatic ontology summarization based on RDF Sentence Graph.  ... 
doi:10.1145/1242572.1242668 dblp:conf/www/ZhangCQ07 fatcat:jghx6oy6zbdklo2xj5nkxmlzd4

Graph-based Ontology Summarization: A Survey [article]

Seyedamin Pouriyeh, Mehdi Allahyari, Qingxia Liu, Gong Cheng, Hamid Reza Arabnia, Yuzhong Qu, Krys Kochut
2018 arXiv   pre-print
In this survey paper, we review existing ontology summarization techniques and focus mainly on graph-based methods, which represent an ontology as a graph and apply centrality-based and other measures  ...  Consequently, ontology summarization, as a way to distill key information from an ontology and generate an abridged version to facilitate a better understanding, is getting growing attention.  ...  Betweenness has also been used on RDF sentence graph [23] .  ... 
arXiv:1805.06051v1 fatcat:pu2fepnwy5dsbfq4gnwdhqgyi4

A Comprehensive Survey of Ontology Summarization: Measures and Methods [article]

Seyedamin Pouriyeh, Mehdi Allahyari, Krys Kochut, Hamid Reza Arabnia
2018 arXiv   pre-print
In this paper, we mainly focus on the common metrics which are using for ontology summarization and meet the state-of-the-art in ontology summarization.  ...  There are various approaches available for ontology summarization which are focusing on different measures in order to produce a proper summary for a given ontology.  ...  In fact, from RDF sentence Builder and Graph Builder components the ontology is mapped to a set of RDF sentences and an RDF Sentence Graph is build based on set of RDF sentences and user's preference.  ... 
arXiv:1801.01937v1 fatcat:cgo7rmvoljh63hqog5xm5yhxeu

A Framework for Semantic Text Clustering

Soukaina Fatimi, Chama EL, Larbi Alaoui
2020 International Journal of Advanced Computer Science and Applications  
The framework allows documents RDF representation, clustering, topic modeling, clusters summarizing, information retrieval based on RDF querying and Reasoning tools.  ...  On the other hand, this study opts to implement other techniques within the clustering process such as ontology representation to manipulate and extract meaningful information using RDF, RDF Schemas (RDFS  ...  There are multiple RDF summarization approaches, some include ontologies to handle the summarization of an RDF graph, and others can ignore their use and only work on the bare RDF graph.  ... 
doi:10.14569/ijacsa.2020.0110657 fatcat:undy4wffzvgkxiopyhtys64zuu

Generating and Summarizing Explanations for Linked Data [chapter]

Rakebul Hasan
2014 Lecture Notes in Computer Science  
Finally, we present an approach to summarize these explanations taking into account user specified explanation filtering criteria.  ...  RDF Sentence graph based summarization [27] extracts RDF sentences based on centrality measures. Our work has a similar approach to sentence graph summarization approach.  ...  Our approach outperforms the sentence graph based ontology summarization approach.  ... 
doi:10.1007/978-3-319-07443-6_32 fatcat:zumfieiqr5b6tiwnkxlmsgwvva

Summarizing semantic graphs: a survey

Šejla Čebirić, François Goasdoué, Haridimos Kondylakis, Dimitris Kotzinos, Ioana Manolescu, Georgia Troullinou, Mussab Zneika
2018 The VLDB journal  
This survey is the first to provide a comprehensive survey of summarization method for semantic RDF graphs.  ...  Summarization has been applied to RDF data to facilitate these tasks.  ...  An ontology summarization method along these lines is introduced in [117] , based on RDF Sentence Graphs.  ... 
doi:10.1007/s00778-018-0528-3 fatcat:5yphgy3jajcwxbt5oxshadv4oy

Knowledge Extraction and Modeling from Scientific Publications [chapter]

Francesco Ronzano, Horacio Saggion
2016 Lecture Notes in Computer Science  
We evaluate how the Framework supports two core scientific text analysis tasks: rhetorical sentence classification and extractive text summarization.  ...  We provide on-line access to both the RDF datasets and the Web visualizations generated by mining the papers of the 2015 ACL-IJCNLP Conference. with a growth rate of about 1,370 new articles per day.  ...  and sentence similarity with the centroid of each section of the paper) and the TextRank graph-based summarization algorithm [31] .  ... 
doi:10.1007/978-3-319-53637-8_2 fatcat:2un7vyxswbdb5j6u7tuki2lake

Evaluations of User-Driven Ontology Summarization [chapter]

Ning Li, Enrico Motta
2010 Lecture Notes in Computer Science  
Based on those measures, we evaluate the performances of the existing user-driven ontology summarization approaches.  ...  Ontology Summarization has been found useful to facilitate ontology engineering tasks in a number of different ways.  ...  This happens in the work of [2] where graph-based text summarization techniques were applied in ontology summarization.  ... 
doi:10.1007/978-3-642-16438-5_44 fatcat:bzs2rojo4re6vnkg7boyndsydm

Summarizing Vocabularies in the Global Semantic Web

Xiang Zhang, Gong Cheng, Wei-Yi Ge, Yu-Zhong Qu
2009 Journal of Computer Science and Technology  
Vocabulary summarization is based on the structural analysis and pragmatics statistics in the global Semantic Web.  ...  A structural importance for each RDF sentence in the vocabulary is assessed using link analysis.  ...  Since the approach to vocabulary summarization is based on the ranking of RDF sentences, it is related to some other ranking problems on the Semantic Web.  ... 
doi:10.1007/s11390-009-9212-9 fatcat:bnaswldtnnaydllxbw2rzh55oy

Incorporating compactness to generate term-association view snippets for ontology search

Weiyi Ge, Gong Cheng, Huiying Li, Yuzhong Qu
2013 Information Processing & Management  
In this paper, we illustrate a good snippet in a keyword-based ontology search engine should be with term-association view and compact, and propose an approach to generate it.  ...  To obtain term-association view snippets, a model of term association graph for ontology is proposed, and a concept of maximal r-radius subgraph is introduced to decompose the term association graph into  ...  Yanbing Wang for his valuable suggestion on approximation algorithms of group Steiner problem. We are also grateful to Huiyao Wu and Jianfeng Chen for their effort in experimentation.  ... 
doi:10.1016/j.ipm.2012.07.011 fatcat:ha3rxlp2jzd3xola6nfvxcae4a

RDF Digest: Efficient Summarization of RDF/S KBs [chapter]

Georgia Troullinou, Haridimos Kondylakis, Evangelia Daskalaki, Dimitris Plexousakis
2015 Lecture Notes in Computer Science  
In this paper, we present RDF Digest, a novel platform that automatically produces summaries of RDF/S Knowledge Bases (KBs).  ...  To this direction, ontology summarization aspires to produce an abridged version of the original ontology that highlights its most representative concepts.  ...  [7] propose a method for ontology summarization based on the RDF Sentence Graph.  ... 
doi:10.1007/978-3-319-18818-8_8 fatcat:ag3qpzmhrre3lhr4nv45zkm7oa

FRED: From Natural Language Text to RDF and OWL in One Click [chapter]

Francesco Draicchio, Aldo Gangemi, Valentina Presutti, Andrea Giovanni Nuzzolese
2013 Lecture Notes in Computer Science  
The tool is based on Boxer which implements a DRT-compliant deep parser.  ...  OWL ontologies and RDF data design.  ...  Based on this consideration, we summarize a set of requirements that FRED follows in order to enable robust OL&P: ability to capture accurate semantic structures; representing complex relations; exploiting  ... 
doi:10.1007/978-3-642-41242-4_36 fatcat:zizwxl2xofckhl44k7sn6he24u

SHELDON: Semantic Holistic FramEwork for LinkeD ONtology Data [chapter]

Diego Reforgiato Recupero, Andrea Giovanni Nuzzolese, Sergio Consoli, Aldo Gangemi, Valentina Presutti
2015 Lecture Notes in Computer Science  
It is a framework that builds upon a machine reader for extracting RDF graphs from text so that the output is compliant to Semantic Web and Linked Data patterns.  ...  Given a sentence in any language, it provides different semantic functionalities (frame detection, topic extraction, named entity recognition, resolution and coreference, terminology extraction, sense  ...  The machine reading capability of SHELDON is based on FRED [15, 5] , a tool for automatically producing RDF/OWL ontologies and linked data from text.  ... 
doi:10.1007/978-3-319-17966-7_17 fatcat:gvpjc7bwjncgnpk54min2lfiwa

Predicting SPARQL Query Performance and Explaining Linked Data [chapter]

Rakebul Hasan
2014 Lecture Notes in Computer Science  
Finally we discuss how to summarize the explanations.  ...  But researchers have studied ontology summarization. A notable work on ontology summarization is RDF sentence graph-based summarization [29] .  ...  This work extracts and summarizes RDF sentences based on centrality measures.  ... 
doi:10.1007/978-3-319-07443-6_53 fatcat:h7xxf6wr4bfcjmysyiruee22im

Semantic Web Machine Reading with FRED

Aldo Gangemi, Valentina Presutti, Diego Reforgiato Recupero, Andrea Giovanni Nuzzolese, Francesco Draicchio, Misael Mongiovì, Harith Alani
2017 Semantic Web Journal  
FRED is a machine reader for extracting RDF graphs that are linked to LOD and compliant to Semantic Web and Linked Data patterns.  ...  Besides, Sentilo enriches the RDF/OWL semantic representation of an opinion sentence with annotation triples based on an opinion model. Figure 4 shows the pipeline of Sentilo.  ...  UKB [1] based on Apache Felix. FRED is also accessible by means of a Python API, namely fredlib. It exposes features for retrieving FRED graphs from user-specified sentences, and managing them.  ... 
doi:10.3233/sw-160240 fatcat:6uqoj5ymlfgn5e5gbqiocyg7ni
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