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Open-World Knowledge Graph Completion

Baoxu Shi, Tim Weninger
2018 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
To address these problems, Knowledge Graph Completion (KGC) has been proposed to improve KGs by filling in its missing connections.  ...  Knowledge Graphs (KGs) have been applied to many tasks including Web search, link prediction, recommendation, natural language processing, and entity linking.  ...  , Open-World Knowledge Graph Completion completes G by finding a set of missing triples Figure 1 : 1 Figure 1: Illustration of the ConMask model for Open-World Knowledge Graph Completion.  ... 
doi:10.1609/aaai.v32i1.11535 fatcat:53u6hwrbkjb4noxt4umve2xxj4

Open-World Knowledge Graph Completion [article]

Baoxu Shi, Tim Weninger
2017 arXiv   pre-print
To address these problems, Knowledge Graph Completion (KGC) has been proposed to improve KGs by filling in its missing connections.  ...  Knowledge Graphs (KGs) have been applied to many tasks including Web search, link prediction, recommendation, natural language processing, and entity linking.  ...  Figure 1 : 1 Illustration of the ConMask model for Open-World Knowledge Graph Completion.  ... 
arXiv:1711.03438v1 fatcat:bxnhmbcqyjbqzdcwr5dkyjypja

Probabilistic Case-based Reasoning for Open-World Knowledge Graph Completion [article]

Rajarshi Das, Ameya Godbole, Nicholas Monath, Manzil Zaheer, Andrew McCallum
2020 arXiv   pre-print
Furthermore, we demonstrate the effectiveness of our model in an "open-world" setting where new entities arrive in an online fashion, significantly outperforming state-of-the-art approaches and nearly  ...  In this paper, we demonstrate that such a system is achievable for reasoning in knowledge-bases (KBs).  ...  IIS-1514053 and No. 1763618, and in part by the Chan Zuckerberg Initiative under the project Scientific Knowledge Base Construction.  ... 
arXiv:2010.03548v2 fatcat:zsazv4o4afgrdh22kp2c4saw3i

An Open-World Extension to Knowledge Graph Completion Models

Haseeb Shah, Johannes Villmow, Adrian Ulges, Ulrich Schwanecke, Faisal Shafait
2019 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
We present a novel extension to embedding-based knowledge graph completion models which enables them to perform open-world link prediction, i.e. to predict facts for entities unseen in training based on  ...  Our model combines a regular link prediction model learned from a knowledge graph with word embeddings learned from a textual corpus.  ...  Text-Enhanced Knowledge Graph Completion While the knowledge graph completion models described above leverage only the triple structure of the graph, some approaches combine text information with the graph  ... 
doi:10.1609/aaai.v33i01.33013044 fatcat:umstjbwz3rgixetz6eix3kuqwu

Competent Triple Identification for Knowledge Graph Completion under the Open-World Assumption

Esrat FARJANA, Natthawut KERTKEIDKACHORN, Ryutaro ICHISE
2022 IEICE transactions on information and systems  
The usefulness and usability of existing knowledge graphs (KGs) are mostly limited because of the incompleteness of knowledge compared to the growing number of facts about the real world.  ...  Despite this, knowledge acquisition under the open-world assumption is challenging because most available knowledge is in a noisy unstructured text format.  ...  Introduction A knowledge graph (KG) is a multi-relational directed graph representation of a knowledge base (KB).  ... 
doi:10.1587/transinf.2021edp7148 fatcat:fmmp7ukysnha7leceutsssspu4

Relation Specific Transformations for Open World Knowledge Graph Completion

Haseeb Shah, Johannes Villmow, Adrian Ulges
2020 Proceedings of the Graph-based Methods for Natural Language Processing (TextGraphs)   unpublished
We propose an open-world knowledge graph completion model that can be combined with common closed-world approaches (such as ComplEx) and enhance them to exploit text-based representations for entities  ...  We demonstrate state-of-the-art results on common open-world benchmarks and show that our approach benefits from relation-specific transformation functions (RST), giving substantial improvements over a  ...  Conclusion We have proposed a simple approach to incorporate relation-specific information into open-world knowledge graph completion.  ... 
doi:10.18653/v1/2020.textgraphs-1.9 fatcat:h6ljxvz22nc5tdhfz3pqs2n65y

Probabilistic Case-based Reasoning for Open-World Knowledge Graph Completion

Rajarshi Das, Ameya Godbole, Nicholas Monath, Manzil Zaheer, Andrew McCallum
2020 Findings of the Association for Computational Linguistics: EMNLP 2020   unpublished
Furthermore, we demonstrate the effectiveness of our model in an "open-world" setting where new entities arrive in an online fashion, significantly outperforming state-ofthe-art approaches and nearly matching  ...  IIS-1514053 and No. 1763618, and in part by the Chan Zuckerberg Initiative under the project Scientific Knowledge Base Construction.  ...  Open-world Knowledge Base Completion.  ... 
doi:10.18653/v1/2020.findings-emnlp.427 fatcat:7pf3u7gkezcrlnrh7hujx6npfm

Caps-OWKG: a capsule network model for open-world knowledge graph

Yuhan Wang, Weidong Xiao, Zhen Tan, Xiang Zhao
2021 International Journal of Machine Learning and Cybernetics  
learning model, called Caps-OWKG, which leverages the capsule network to capture the both known and unknown triplets features in open-world knowledge graph.  ...  Nonetheless, existing knowledge graphs are still sparse and far from being complete.  ...  Open-world knowledge graph model Different from knowledge graph representation learning model, there are only few other works on open-world knowledge graph.  ... 
doi:10.1007/s13042-020-01259-4 fatcat:sn76z3x36vggnh6zq5ib2sgoem

OpenKG Chain: A Blockchain Infrastructure for Open Knowledge Graphs

Huajun Chen, Ning Hu, Guilin Qi, Haofen Wang, Zhen Bi, Jie Li, Fan Yang
2021 Data Intelligence  
The early concept of knowledge graph originates from the idea of the Semantic Web, which aims at using structured graphs to model the knowledge of the world and record the relationships that exist between  ...  In China, CIPS(Chinese Information Processing Society) launched the OpenKG in 2015 to foster the development of Chinese Open Knowledge Graphs.  ...  Open Knowledge Ecosystem Knowledge Graphs as World Models Knowledge such as facts, information or descriptions, is the awareness and understanding of the world.  ... 
doi:10.1162/dint_a_00095 fatcat:wep6xkqerzbj3fcpcjkvo7ptha

Making knowledge bases more complete - Wikimedia Research Showcase - December 2019 [article]

Fabian Suchanek
2019 Figshare  
Slides from the December 2019 Wikimedia Research Showcase presenting by Fabian Suchanek on new methods to combat incompleteness in knowledge bases.  ...  Completing Knowledge Bases . Completing Knowledge Bases  ...  People (married/single) Woman Knowledge base World World under the Open Assumption ? ? ? ? ? ? Are all people married?  ... 
doi:10.6084/m9.figshare.11401416.v1 fatcat:cwwk76eo3jcp7l53lfh626uaa4

Knowledge Graph Completeness: A Systematic Literature Review

Subhi Issa, Onaopepo Adekunle, Faycal Hamdi, Samira Si-said Cherfi, Michel Dumontier, Amrapali Zaveri
2021 IEEE Access  
We also analyze nine different tools capable of assessing Knowledge Graph completeness.  ...  further experimentation and development of new approaches focused on completeness as a data quality dimension of Knowledge Graph.  ...  KNOWLEDGE GRAPH COMPLETENESS ANALYSIS Through our methodology, we identified 56 core articles related to Knowledge Graph or Linked Data completeness.  ... 
doi:10.1109/access.2021.3056622 fatcat:2pkbwehytbchxjsr46csnkt5li

Evaluating the Calibration of Knowledge Graph Embeddings for Trustworthy Link Prediction [article]

Tara Safavi, Danai Koutra, Edgar Meij
2020 arXiv   pre-print
graph completion task.  ...  We first conduct an evaluation under the standard closed-world assumption (CWA), in which predicted triples not already in the knowledge graph are considered false, and show that existing calibration techniques  ...  Link prediction accuracy Open-world evaluation We now address the more realistic open-world assumption (OWA), in which predictions not present in the knowledge graph are considered unknown, rather than  ... 
arXiv:2004.01168v3 fatcat:csjkv5z6dnc2rjmif3f6wmfimy

Enhanced Story Comprehension for Large Language Models through Dynamic Document-Based Knowledge Graphs

Berkeley R Andrus, Yeganeh Nasiri, Shilong Cui, Benjamin Cullen, Nancy Fulda
2022 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
In contrast to static commonsense knowledge graphs which hold information about the real world, these dynamic knowledge graphs reflect facts extracted from the story being processed.  ...  Our architecture uses these knowledge graphs to create information-rich prompts which better facilitate story comprehension than prompts composed only of story text.  ...  In Knowledge Graph Construction, we use an Open Information Extraction model with rule based post processing to convert a long-form text document into a documentspecific knowledge graph.  ... 
doi:10.1609/aaai.v36i10.21286 fatcat:l2p64xb65jecbi245p7iuo3j54

Bridging the gap between business domains and Knowledge Graphs

Tomasz Pluskiewicz
2022 Zenodo  
The effect is quite the opposite from the openness and connectivity promised by Knowledge Graphs.  ...  Knowledge Graphs are most commonly presented as a flexible alternative to data warehouses or data lakes.  ...  What is a Knowledge Graph?  ... 
doi:10.5281/zenodo.6522650 fatcat:wdvfqutfhvdgrdwufyc57kffee

Towards an Open Research Knowledge Graph

Sören Auer, Sanjeet Mann
2018 The Serials librarian  
Knowledge graphs facilitate the discovery of information by organizing it into entities and describing the relationships of those entities to each other and to established ontologies.  ...  Challenges include incentivizing researchers to participate and creating the training data needed to automate the generation of knowledge graphs in all fields of research.  ...  Knowledge graphs will not work with one or five or even a team of ten people, but only if thousands or millions of people work together, following the example of Wikidata, a knowledge graph that is built  ... 
doi:10.1080/0361526x.2019.1540272 fatcat:cgrah5u4bffkrg42vzpcq6iuri
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