Results 21 to 30 of about 11,901,398 (250)

Research on Joint Extraction Method of Entity and Relation Triples Based on Hierarchical Cascade Labeling

IEEE Access, 2023
As an important research field of artificial intelligence, knowledge graph develops rapidly, and triplet extraction is the key to the construction of a knowledge graph. The traditional pipeline extraction method will bring the error of entity recognition
Yibo Liu, Feng Wen, Teng Zong, Taowei Li
doaj   +1 more source

Ontology-Instances Joint Learning Method Fusing Entity Type Information [PDF]

Jisuanji gongcheng, 2022
The joint learning of the ontology graph and the instance graph that represent the knowledge graph can effectively improve the efficiency of embedded learning, but it cannot represent the ambiguity of entities in different scenarios.In this regard, this ...
YOU Leqi, PEI Zhongmin, LUO Zhangkai
doaj   +1 more source

Tailoring temporal description logics for reasoning over temporal conceptual models [PDF]

, 2011
Temporal data models have been used to describe how data can evolve in the context of temporal databases. Both the Extended Entity-Relationship (EER) model and the Unified Modelling Language (UML) have been temporally extended to design temporal ...
Ryzhikov, Vladislav, Alessandro Artale, Roman Kontchakov, Ryzhikov, V., Vladislav Ryzhikov, Michael Zakharyaschev, Artale, A., Zakharyaschev, Michael, Kontchakov, Roman   +8 more
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Creation of intelligent information decision support systems [PDF]

E3S Web of Conferences, 2023
The use of intelligent information decision support systems implies considering the problem area's specifics. The object of study is characterized by the following set of features: - quality and efficiency of decision-making; - vagueness of goals and ...
Sultanov Murodjon, Ishankhodjayev Gayrat, Parpiyeva Rano, Norboyeva Nafisa   +3 more
doaj   +1 more source

Valences. A new relationship concept for the entity-relationship model

, 2022
S.218-231Semantic data models for engineering applications often employ the Entity-Relationship approach in some variation, today mostly combined with an object-oriented flavor.
Baumann, P.
core   +1 more source

Answer Extraction Method for Reading Comprehension Based on Frame Semantics and GraphStructure [PDF]

Jisuanji kexue, 2023
Machine reading comprehension is one of the most challenging tasks in the field of natural language processing.With the continuous development of deep learning technology and the release of large-scale MRC datasets,the performance of MRC models keep ...
YANG Zhizhuo, XU Lingling, Zhang Hu, LI Ru
doaj   +1 more source

Learning Relatedness Measures for Entity Linking [PDF]

, 2013
Entity Linking is the task of detecting, in text documents, relevant mentions to entities of a given knowledge base. To this end, entity-linking algorithms use several signals and features extracted from the input text or from the knowl- edge base.
Lucchese, Claudio, Orlando, Salvatore, Salvatore Orlando, Salvatore Trani, Trani, Salvatore, Diego Ceccarelli, Claudio Lucchese, Raffaele Perego, Salvatore Orl, Ceccarelli, Diego, Perego, Raffaele, Diego Ceccarelli, Claudio Lucchese, Salvatore Trani, Salvatore Orlando, Raffaele Perego   +15 more
core   +1 more source

Dexter: an open source framework for entity linking [PDF]

, 2013
We introduce Dexter, an open source framework for entity linking. The entity linking task aims at identifying all the small text fragments in a document referring to an entity contained in a given knowledge base, e.g., Wikipedia.
Lucchese, Claudio, Orlando, Salvatore, Salvatore Orlando, Salvatore Trani, Trani, Salvatore, Diego Ceccarelli, Claudio Lucchese, Raffaele Perego, Ceccarelli, Diego, Perego, Raffaele, Diego Ceccarelli, Claudio Lucchese, Salvatore Trani, Salvatore Orlando, Raffaele Perego   +14 more
core   +1 more source

ER-LAC: Span-Based Joint Entity and Relation Extraction Model with Multi-Level Lexical and Attention on Context Features

Applied Sciences, 2023
In recent years, joint entity–relation extraction (ERE) models have become a hot research topic in natural language processing (NLP). Several studies have proposed a span-based ERE framework, which utilizes simple span embeddings for entity and relation ...
Yaqin Zhu, Xuhang Li, Zijian Wang, Jiayong Li, Cairong Yan, Yanting Zhang   +5 more
doaj   +1 more source

Knowledge Graph-Based Method for Intelligent Generation of Emergency Plans for Water Conservancy Projects

IEEE Access, 2023
In response to the issues of poor content correlation and insufficient intelligent decision support in emergency plans for water conservancy projects, a method for intelligent generation of emergency plans based on knowledge graphs is proposed. Utilizing
Lihu Wang, Xuemei Liu, Yang Liu, Hairui Li, Jiaqi Liu, Libo Yang   +5 more
doaj   +1 more source