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Entity linking with a unified semantic representation

Zhaochen Guo, Denilson Barbosa
2014 Proceedings of the 23rd International Conference on World Wide Web - WWW '14 Companion  
We present a global EL approach that unifies the representation of the semantics of entities and documentsthe probability distribution of entities being visited during a random walk on an entity graph-that  ...  Entity Linking (EL) consists in linking mentions in a document to their referent entities in a Knowledge Base.  ...  Instead, we use a unified semantic representation for both documents and entities. As a result, we can find the similarity of multiple entities and mentions at once.  ... 
doi:10.1145/2567948.2579705 dblp:conf/www/GuoB14 fatcat:xqemxm6lwzc4dcxct526ch66ei

Knowledge Base Unification via Sense Embeddings and Disambiguation

Claudio Delli Bovi, Luis Espinosa Anke, Roberto Navigli
2015 Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing  
KB-UNIFY consists of three main steps: (1) disambiguation of relation argument pairs via a sensebased vector representation and a large unified sense inventory; (2) ranking of semantic relations according  ...  We present KB-UNIFY, a novel approach for integrating the output of different Open Information Extraction systems into a single unified and fully disambiguated knowledge repository.  ...  KB-UNIFY represents entities and relations using a shared semantic representation, leveraging a unified sense inventory together with a semantically-enhanced vector space model and a disambiguation algorithm  ... 
doi:10.18653/v1/d15-1084 dblp:conf/emnlp/BoviAN15 fatcat:algllldpjfcvllbkgjhypz3kvi

Joint Representation Learning of Cross-lingual Words and Entities via Attentive Distant Supervision

Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu, Chengjiang Li, Xu Chen, Tiansi Dong
2018 Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing  
We conducted a series of experiments on three tasks: word translation, entity relatedness, and cross-lingual entity linking.  ...  In this paper, we propose a novel method for joint representation learning of cross-lingual words and entities.  ...  Crosslingual word and entity representation learning is to map words and entities in different languages into a unified semantic space.  ... 
doi:10.18653/v1/d18-1021 dblp:conf/emnlp/0002HLLLCD18 fatcat:bmbfxf7bb5clljirnliytkagou

Joint Representation Learning of Cross-lingual Words and Entities via Attentive Distant Supervision [article]

Yixin Cao and Lei Hou and Juanzi Li and Zhiyuan Liu and Chengjiang Li and Xu Chen and Tiansi Dong
2018 arXiv   pre-print
We conducted a series of experiments on three tasks: word translation, entity relatedness, and cross-lingual entity linking.  ...  In this paper, we propose a novel method for joint representation learning of cross-lingual words and entities.  ...  Crosslingual word and entity representation learning is to map words and entities in different languages into a unified semantic space.  ... 
arXiv:1811.10776v1 fatcat:rkyiznw2hvdjhdy4fylkxw4fay

Cross-Media Retrieval via Semantic Entity Projection [chapter]

Lei Huang, Yuxin Peng
2016 Lecture Notes in Computer Science  
Then, an entity projection is learned by minimizing both cross-media correlation error and single-media reconstruction error from low-level features to the entity level, with which a unified feature space  ...  Firstly, an entity level with fine-grained semantics between low-level features and high-level concepts are constructed, so as to help bridge the semantic gap to a certain extent.  ...  The unified feature representation based approaches try to obtain a unified feature representation by projecting heterogeneous features of different modalities into a unified feature space, and then compute  ... 
doi:10.1007/978-3-319-27671-7_23 fatcat:zhy4dmfgarho5oe2pwfahmvudu

Entity Alignment Method for Power Data Knowledge Graph of Semantic and Structural Information

Wang Zhiqiang, Wang Yuan, Zhao Kang, Wang Xin, Hu Hui
2019 IOP Conference Series: Materials Science and Engineering  
This paper proposes an entity alignment method for power data with sematic and structural information with a co-training framework.  ...  Entity alignment is one of the key steps for constructing high-quality power knowledge graph to solve the problem of a large number of entity heterogeneity and redundancy existing between different business  ...  unique one with unified global identity by constructing co-reference links such as owl: SameAs Based on the string similarity, ontologies and entities can be aligned by matching the literal quantities  ... 
doi:10.1088/1757-899x/569/5/052103 fatcat:j7bz4ltqgrd4ret4h6dfwa2yt4

Deep Entity Linking via Eliminating Semantic Ambiguity With BERT

Xiaoyao Yin, Yangchen Huang, Bin Zhou, Aiping Li, Long Lan, Yan Jia
2019 IEEE Access  
To prevent the model from linking mentions to entities with similar strings rather than the semantically similar ones, in this paper, we introduce the advanced language representation model called BERT  ...  The proposed hard negative samples mining strategy benefits entity linking from the larger, more expressive pre-trained representations of BERT with limited training time and computing sources.  ...  Based on the above findings, we propose to get the mention and entity representation in a unified semantic space by fine-tuning the pre-trained model, and conduct entity linking with the learned embeddings  ... 
doi:10.1109/access.2019.2955498 fatcat:wlb3tvuzdjgibang3khaawt46a

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 the semantic web: its output is a RDF/OWL graph, whose design is based on frame semantics.  ...  A machine reader is a tool able to transform natural language text to formal structured knowledge so as the latter can be interpreted by machines, according to a shared semantics.  ...  has received funding from the European Union Horizons 2020 the Framework Programme for Research and Innovation (2014-2020) under grant agreement 643808 Project MARIO Managing active and healthy aging with  ... 
doi:10.3233/sw-160240 fatcat:6uqoj5ymlfgn5e5gbqiocyg7ni

A schematic analysis of the Unified Medical Language System

Y Yang, C G Chute
1991 Proceedings. Symposium on Computer Applications in Medical Care  
An LDS representation of the Metathesaurus offers the following advantages: 1) the separation of a viewpoint from physical data structures enables a global outline of the contents; 2) the graphical map  ...  The graphical technique of Logical Data Structure (LDS) representation was employed to illustrate the UMLS schema as a data abstraction, affording additional insights that might otherwise escape notice  ...  People unfamiliar with LDS representation may ask: where is the semantic network?  ... 
pmid:1807588 pmcid:PMC2247524 fatcat:vwfdcypps5cohncuzdsdcjbhqi

MRP2Rec: Exploring Multiple-step Relation Path Semantics for Knowledge Graph-Based Recommendations

Ting Wang, Daqian Shi, Zhaodan Wang, Shuai Xu, Hao Xu
2020 IEEE Access  
Knowledge graphs (KGs), as an important side information source, have shown great potential on RS since KGs can link various types of information related to items into a unified global space.  ...  of a head entity The relation between entity pairs The representation of a tail entity is the feature vector of source entity in a multiple-step relation path, is the feature vector of a target entity  ... 
doi:10.1109/access.2020.3011279 fatcat:tbztgj6qljgsnanmmpubvufcte

Ontology-driven Semantic Mapping [chapter]

Domenico Beneventano, Nikolai Dahlem, Sabina El Haoum, Axel Hahn, Daniele Montanari, Matthias Reinelt
2008 Enterprise Interoperability III  
We have developed a unified description of data models which is called the Logical Data Model (LDM) Ontology.  ...  Our goal is to provide a syntax and a data model neutral format for the representation of business schemata.  ...  Ontology-driven Semantic Mapping As discussed in the section 3 mappings between Semantic Entities can be achieved based on annotations linking the semantic entities with some concepts being part of an  ... 
doi:10.1007/978-1-84800-221-0_26 dblp:conf/iesa/BeneventanoDHHMR08 fatcat:5puybxrqtzhebdhjnijhta76py

Research on the Method of Feature-Based Multi-scale Vector Data Model [chapter]

Yibing Dong, Jianyu Yang, Chao Zhang, Dehai Zhu, Xingyue Tu, Xianzhe Qiao
2013 IFIP Advances in Information and Communication Technology  
Multi-scale representation of spatial data is a research focus in GIS, while building multi-scale data model is a key to implementing multi-scale representation of vector data.  ...  Deeply study and analysis are applied on abstraction and expression of multiple geometric characteristics, of multi-attribution, and of semantic relation among different scales,and the design of feature-based  ...  Through these semantic relations explained above, we can link a series of spatial representations together, and establish the spatial mechanism efficiently by semantic features.  ... 
doi:10.1007/978-3-642-36137-1_34 fatcat:xrh7zbgd4vbcvg4sf6dlzgytrq

Integrating Knowledge Graph embedding and pretrained Language Models in Hypercomplex Spaces [article]

Mojtaba Nayyeri, Zihao Wang, Mst. Mahfuja Akter, Mirza Mohtashim Alam, Md Rashad Al Hasan Rony, Jens Lehmann, Steffen Staab
2022 arXiv   pre-print
Our unified vector representation scores the plausibility of labelled edges via Hamilton and Dihedron products, thus modeling pairwise interactions between different modalities.  ...  Few approaches have integrated learning and inference with both modalities and these existing ones could only partially exploit the interaction of structural and textual knowledge.  ...  In order to incorporate different semantic information with entity embedding, we propose a unified framework with the help of hypercomplex numbers.  ... 
arXiv:2208.02743v1 fatcat:ijq3qqjcizenfbxl2d4mc6dhtq

Linking requirements and design data for automated functional evaluation

Stephen T. Frezza, Steven P. Levitan, Panos K. Chrysanthis
1996 Computers in industry (Print)  
Based on an exploration model for design, this methodology generates evaluation tests using a novel semantic graph data model which captures the relationships between the related design and requirements  ...  This paper presents a methodology for automating the evaluation of complex hierarchical designs using black-box testing techniques.  ...  In order to meet the first goal, we develop a unified semantic graph representation of requirements and design data, where the links explicitly represent relations among the requirements and design data  ... 
doi:10.1016/0166-3615(96)00018-8 fatcat:foepkuc6zvcthcxfryf6rb4z5m

Towards a Semantically Unified Environmental Information Space [chapter]

Saša Nešić, Andrea Emilio Rizzoli, Ioannis N. Athanasiadis
2011 IFIP Advances in Information and Communication Technology  
The Linked Data principles along with the Semantic Web technologies have been recognized as a promising solution to both environmental data integration and discovery.  ...  Semantic annotations and semantic links will then enable semantic discovery of environmental data over such unified information space.  ...  unified environmental information space is a universal data representation model.  ... 
doi:10.1007/978-3-642-22285-6_44 fatcat:5d55uyzulnd67pmzki5lo3qqdm
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