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Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus [article]

Yue Wang, Yao Wan, Lu Bai, Lixin Cui, Zhuo Xu, Ming Li, Philip S. Yu, Edwin R Hancock
2022 arXiv   pre-print
To alleviate the challenges of building Knowledge Graphs (KG) from scratch, a more general task is to enrich a KG using triples from an open corpus, where the obtained triples contain noisy entities and  ...  We then propose a Collaborative Knowledge Graph Fusion Framework to allow our sub-tasks to mutually assist one another in an alternating manner.  ...  The "Collaborative Knowledge Graph Fusion" framework for the Knowledge Graph Fusion with Open Corpus task.  ... 
arXiv:2206.07472v1 fatcat:qlby67a6tzcizpdm5hv42vbeom

Retrieval, Crawling and Fusion of Entity-centric Data on the Web [chapter]

Stefan Dietze
2017 Lecture Notes in Computer Science  
Future directions are concerned with the exploitation of the complementary nature of markup data and traditional knowledge graphs.  ...  To this end, markup data lends itself as a data source for aiding tasks such as knowledge base augmentation, where data fusion techniques are required to address the inherent characteristics of markup  ...  While all discussed works are joint research with numerous colleagues, friends and collaborators from a number of research institutions, the author would like to thank all involved researchers for the  ... 
doi:10.1007/978-3-319-53640-8_1 fatcat:bilhfrwhgvgwnfm3wub4g55lr4

Robust Reasoning over Heterogeneous Textual Information for Fact Verification

Yongyue Wang, Chunhe Xia, Chengxiang Si, Beitong Yao, Tianbo Wang
2020 IEEE Access  
The current work is the first attempt to make the combination of knowledge graph (KG) and graph neural network (GNN) to enhance the robustness of FV systems for heterogeneous information.  ...  To make information update and aggregate well on the collaborative graph, the present study proposes a double graph attention network (DGAT) framework which recursively propagates the embeddings from a  ...  ACKNOWLEDGMENT The authors feel appreciated for all anonymous reviewers for their hard work!  ... 
doi:10.1109/access.2020.3019586 fatcat:5jdmoh32djhnxmn7asfltj4iua

Conversation Concepts: Understanding Topics and Building Taxonomies for Financial Services

John P. McCrae, Pranab Mohanty, Siddharth Narayanan, Bianca Pereira, Paul Buitelaar, Saurav Karmakar, Rajdeep Sarkar
2021 Information  
In particular, we analyse the use cases for knowledge graphs within this enterprise, and this led us to a new extension to the knowledge graph system.  ...  Knowledge graphs are proving to be an increasingly important part of modern enterprises, and new applications of such enterprise knowledge graphs are still being found.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/info12040160 fatcat:vd3fky4gqjhtrpp5pcvyejdtwy

Knowledge graph refinement: A survey of approaches and evaluation methods

Heiko Paulheim, Philipp Cimiano
2016 Semantic Web Journal  
While Google coined the term "Knowledge Graph" in 2012, there are also a few openly available knowledge graphs, with DBpedia, YAGO, and Freebase being among the most prominent ones.  ...  In the recent years, different web knowledge graphs, both free and commercial, have been created.  ...  As a first step, entites in the knowledge graph are linked to the text corpus by means of Named Entity Recognition [39, 88] .  ... 
doi:10.3233/sw-160218 fatcat:uiicnh2nbnev5j4ixum23hzila

Knowledge Extraction And Representation Learning For Music Recommendation And Classification

Sergio Oramas, Xavier Serra
2017 Zenodo  
To this end, we first focus on the problem of linking music-related texts with online knowledge repositories and on the automated construction of music knowledge bases.  ...  We focus on the semantic enrichment of descriptions associated to musical items (e.g., artists biographies, album reviews, metadata), and the exploitation of multimodal data (e.g., text, audio, images)  ...  ., sounds and songs, by exploiting the information encoded within a knowledge graph.  ... 
doi:10.5281/zenodo.1048497 fatcat:kdh5jhvocbh3riwln6n2f756su

Knowledge Extraction And Representation Learning For Music Recommendation And Classification

Sergio Oramas, Xavier Serra
2017 Zenodo  
To this end, we first focus on the problem of linking music-related texts with online knowledge repositories and on the automated construction of music knowledge bases.  ...  We focus on the semantic enrichment of descriptions associated to musical items (e.g., artists biographies, album reviews, metadata), and the exploitation of multimodal data (e.g., text, audio, images)  ...  ., sounds and songs, by exploiting the information encoded within a knowledge graph.  ... 
doi:10.5281/zenodo.1100973 fatcat:yfpmc6qxbbakjp6qzvywyoaoci

Early Warning Systems for Cyber Defence [chapter]

Harsha Kalutarage, Siraj Shaikh, Bu-Sung Lee, Chonho Lee, Yeo Chai Kiat
2016 Lecture Notes in Computer Science  
Known indicators to explicitly detect heartbleed exploit attempts by a typical IDS Preliminary indicators to implicitly warn heartbleed exploit attempts by a CEWS k1 -requested payload length i1 -number  ...  The graph presents the node score against the time line.  ... 
doi:10.1007/978-3-319-39028-4_3 fatcat:gtjaxpgiizgsnadv3xqfpaidpe

Truth in the Digital Library: From Ontological to Hermeneutical Systems [chapter]

Aurélien Bénel, Elöd Egyed-Zsigmond, Yannick Prié, Sylvie Calabretto, Alain Mille, Andréa Iacovella, Jean-Marie Pinon
2001 Lecture Notes in Computer Science  
"Apriorism" did not provide many guidelines on how to handle models through their creation, evolution, shared use, learning by a human, fusion, and dependence on practices.  ...  It is often referred as a "common ground" for communication within a group [18] or as capturing consensual knowledge as accepted by a group [13] [6] .  ...  A document is an open work (see Umberto Eco [9] ). Its meaning is given not only by the author or by the indexing professional but also by the whole of its readership.  ... 
doi:10.1007/3-540-44796-2_31 fatcat:tkdjcahr6bbuxocsel3tqb3gva

VEM^2L: A Plug-and-play Framework for Fusing Text and Structure Knowledge on Sparse Knowledge Graph Completion [article]

Tao He, Ming Liu, Yixin Cao, Tianwen Jiang, Zihao Zheng, Jingrun Zhang, Sendong Zhao, Bing Qin
2022 arXiv   pre-print
By combining these two fusion methods and graph densification, we propose the VEM^2L framework finally.  ...  And for the generalization ability, we propose a novel knowledge fusion strategy derived by the Variational EM (VEM) algorithm, during which we also apply a graph densification operation to alleviate the  ...  By comparison, we fuse knowledge into unity by balancing the weight of text and graph structure dynamically.  ... 
arXiv:2207.01528v3 fatcat:rfjbrf57mnfrrbe2z3lhtoctjq

IEEE Access Special Section Editorial: Advanced Data Mining Methods for Social Computing

Yongqiang Zhao, Shirui Pan, Jia Wu, Huaiyu Wan, Huizhi Liang, Haishuai Wang, Huawei Shen
2020 IEEE Access  
YONGQIANG ZHAO (Member, IEEE) received the B.S. degree in automation and the M.S. and Ph.D. degrees in control theory and control engineering from Northwestern  ...  In the third group, the article by Yang and Ma, ''Parallel heuristics for balanced graph partitioning based on richness of implicit knowledge,'' proposes a parallel balanced graph partitioning framework  ...  substantial relations between the named entities present in the corpus using a hierarchical graph-based clustering technique.  ... 
doi:10.1109/access.2020.3043060 fatcat:qbqk5f4ojvadlazhk2mc343sra

Cross-Lingual Cross-Media Content Linking: Annotations and Joint Representations (Dagstuhl Seminar 15201)

Alexander G. Hauptmann, James Hodson, Juanzi Li, Nicu Sebe, Achim Rettinger, Marc Herbstritt
2015 Dagstuhl Reports  
Except where otherwise noted, content of this report is licensed under a Creative Commons BY 3.0 Unported license Cross-Lingual Cross-Media  ...  These sources either broadcast information on channels like TV and News or allow collaboration in social media forums. Often multiple sources are consumed in parallel.  ...  By exploiting statistical relational patterns one can predict the likelihood of new facts, find entity clusters and determine if two entities refer to the same real world object.  ... 
doi:10.4230/dagrep.5.5.43 dblp:journals/dagstuhl-reports/HauptmannHLSR15 fatcat:sjqptft2m5cufcpzslggt7la5i

Cone-KG: A Semantic Knowledge Graph with News Content and Social Context for Studying Covid-19 News Articles on Social Media

Feras Al-Obeidat, Oluwasegun Adedugbe, Anoud Bani Hani, Elhadj Benkhelifa, Munir Majdalawieh
2020 2020 Seventh International Conference on Social Networks Analysis, Management and Security (SNAMS)  
With the multi-faceted global challenges posed by the COVID-19 pandemic, this research focused on the use of a semantic knowledge graph to model, structure and store COVID-related news articles centrally  ...  The semantic knowledge graph provides a platform for researchers, data analysts and data scientists across societal sectors to investigate and recommend strategies towards addressing the challenges it  ...  INTRODUCTION Semantic knowledge graphs provide a means of knowledge representation by generating nodes and edges from a corpus of underlying data usually aggregated from diverse heterogenous sources.  ... 
doi:10.1109/snams52053.2020.9336541 fatcat:kpqbkibyxnfirj64sumii7j4em

Language-Agnostic Relation Extraction from Abstracts in Wikis

Nicolas Heist, Sven Hertling, Heiko Paulheim
2018 Information  
Large-scale knowledge graphs, such as DBpedia, Wikidata, or YAGO, can be enhanced by relation extraction from text, using the data in the knowledge graph as training data, i.e., using distant supervision  ...  While most existing approaches use language-specific methods (usually for English), we present a language-agnostic approach that exploits background knowledge from the graph instead of language-specific  ...  Nicolas Heist conducted the experiments on DBpedia, Heiko Paulheim conducted the language-specific analysis, and Sven Hertling conducted the experiments on DBkWik.  ... 
doi:10.3390/info9040075 fatcat:juilvyj47bgclpax63dv4wimw4

A Novel Online Encyclopedia-Oriented Approach for Large-Scale Knowledge Base Construction

Ting Wang, Ruihua Di, Jicheng Song
2014 Journal of Software  
(i)In the first phase of the scheme, selfexpanded learning is performed on the semantic relations between subjects and objects among the knowledge triples.  ...  A large-scale knowledge base is automatically constructed based on the scheme, and the experiment results indicate that the scheme possesses feasibility and effectiveness.  ...  Knowledge Discovery on the Cloud).  ... 
doi:10.4304/jsw.9.2.482-489 fatcat:ysghroxci5halgd2xyencn6xci
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