International Workshop on the Semantic Web最新文献

Textual Entailment for Effective Triple Validation in Object Prediction 在物体预测中有效进行三重验证的文本实体

International Workshop on the Semantic Web Pub Date : 2024-01-29 DOI: 10.1007/978-3-031-47240-4_5

Andrés García-Silva, Cristian Berrio, José Manuél Gómez-Pérez

引用次数: 0

Mapping and Cleaning Open Commonsense Knowledge Bases with Generative Translation 基于生成翻译的开放常识知识库的映射和清理

International Workshop on the Semantic Web Pub Date : 2023-06-22 DOI: 10.48550/arXiv.2306.12766

Julien Romero, Simon Razniewski

引用次数: 1

H2 TNE: Temporal Heterogeneous Information Network Embedding in Hyperbolic Spaces H2 TNE:双曲空间的时间异构信息网络嵌入

International Workshop on the Semantic Web Pub Date : 2023-04-14 DOI: 10.1007/978-3-031-19433-7_11

Qijie Bai, Jiawen Guo, Haiwei Zhang, Chang Nie, Lin Zhang, Xiaojie Yuan

引用次数: 1

RMLStreamer-SISO: An RDF Stream Generator from Streaming Heterogeneous Data RMLStreamer-SISO:一个来自异构数据流的RDF流生成器

International Workshop on the Semantic Web Pub Date : 2022-10-26 DOI: 10.1007/978-3-031-19433-7_40

Sitt Min Oo, Gerald Haesendonck, B. Meester, Anastasia Dimou

引用次数: 3

HCL: Improving Graph Representation with Hierarchical Contrastive Learning 用层次对比学习改进图表示

International Workshop on the Semantic Web Pub Date : 2022-10-21 DOI: 10.1007/978-3-031-19433-7_7

Jun Wang, Weixun Li, Changyu Hou, Xin Tang, Yixuan Qiao, Rui Fang, Pengyong Li, Peng Gao, Guowang Xie

引用次数: 0

Large-Scale Multi-granular Concept Extraction Based on Machine Reading Comprehension 基于机器阅读理解的大规模多粒度概念提取

International Workshop on the Semantic Web Pub Date : 2022-08-30 DOI: 10.1007/978-3-030-88361-4_6

Siyu Yuan, Deqing Yang, Jiaqing Liang, Jilun Sun, Jingyue Huang, Kaiyan Cao, Yanghua Xiao, R. Xie

引用次数: 2

Entity Type Prediction Leveraging Graph Walks and Entity Descriptions 利用图行走和实体描述的实体类型预测

International Workshop on the Semantic Web Pub Date : 2022-07-28 DOI: 10.48550/arXiv.2207.14094

Russa Biswas, Jan Portisch, Heiko Paulheim, Harald Sack, Mehwish Alam

引用次数: 2

Efficient Dependency Analysis for Rule-Based Ontologies 基于规则本体的高效依赖分析

International Workshop on the Semantic Web Pub Date : 2022-07-20 DOI: 10.48550/arXiv.2207.09669

Larry Gonz'alez, Alexander E. Ivliev, M. Krötzsch, Stephan Mennicke

引用次数: 1

Knowledge Graph Induction enabling Recommending and Trend Analysis: A Corporate Research Community Use Case 支持推荐和趋势分析的知识图谱归纳:一个企业研究社区用例

International Workshop on the Semantic Web Pub Date : 2022-07-11 DOI: 10.48550/arXiv.2207.05188

Nandana Mihindukulasooriya, Mike Sava, Gaetano Rossiello, Md. Faisal Mahbub Chowdhury, I. Yachbes, Aditya Gidh, Jillian Duckwitz, Kovit Nisar, Michael Santos, A. Gliozzo

{"title":"Knowledge Graph Induction enabling Recommending and Trend Analysis: A Corporate Research Community Use Case","authors":"Nandana Mihindukulasooriya, Mike Sava, Gaetano Rossiello, Md. Faisal Mahbub Chowdhury, I. Yachbes, Aditya Gidh, Jillian Duckwitz, Kovit Nisar, Michael Santos, A. Gliozzo","doi":"10.48550/arXiv.2207.05188","DOIUrl":"https://doi.org/10.48550/arXiv.2207.05188","url":null,"abstract":"A research division plays an important role of driving innovation in an organization. Drawing insights, following trends, keeping abreast of new research, and formulating strategies are increasingly becoming more challenging for both researchers and executives as the amount of information grows in both velocity and volume. In this paper we present a use case of how a corporate research community, IBM Research, utilizes Semantic Web technologies to induce a unified Knowledge Graph from both structured and textual data obtained by integrating various applications used by the community related to research projects, academic papers, datasets, achievements and recognition. In order to make the Knowledge Graph more accessible to application developers, we identified a set of common patterns for exploiting the induced knowledge and exposed them as APIs. Those patterns were born out of user research which identified the most valuable use cases or user pain points to be alleviated. We outline two distinct scenarios: recommendation and analytics for business use. We will discuss these scenarios in detail and provide an empirical evaluation on entity recommendation specifically. The methodology used and the lessons learned from this work can be applied to other organizations facing similar challenges.","PeriodicalId":342971,"journal":{"name":"International Workshop on the Semantic Web","volume":"561 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134037877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

How to Agree to Disagree: Managing Ontological Perspectives using Standpoint Logic 如何求同存异:运用立场逻辑管理本体论观点

International Workshop on the Semantic Web Pub Date : 2022-06-14 DOI: 10.48550/arXiv.2206.06793

Luc'ia G'omez 'Alvarez, S. Rudolph, Hannes Strass

{"title":"How to Agree to Disagree: Managing Ontological Perspectives using Standpoint Logic","authors":"Luc'ia G'omez 'Alvarez, S. Rudolph, Hannes Strass","doi":"10.48550/arXiv.2206.06793","DOIUrl":"https://doi.org/10.48550/arXiv.2206.06793","url":null,"abstract":"The importance of taking individual, potentially conflicting perspectives into account when dealing with knowledge has been widely recognised. Many existing ontology management approaches fully merge knowledge perspectives, which may require weakening in order to maintain consistency; others represent the distinct views in an entirely detached way. As an alternative, we propose Standpoint Logic, a simple, yet versatile multi-modal logic\"add-on\"for existing KR languages intended for the integrated representation of domain knowledge relative to diverse, possibly conflicting standpoints, which can be hierarchically organised, combined and put in relation to each other. Starting from the generic framework of First-Order Standpoint Logic (FOSL), we subsequently focus our attention on the fragment of sentential formulas, for which we provide a polytime translation into the standpoint-free version. This result yields decidability and favourable complexities for a variety of highly expressive decidable fragments of first-order logic. Using some elaborate encoding tricks, we then establish a similar translation for the very expressive description logic SROIQb_s underlying the OWL 2 DL ontology language. By virtue of this result, existing highly optimised OWL reasoners can be used to provide practical reasoning support for ontology languages extended by standpoint modelling.","PeriodicalId":342971,"journal":{"name":"International Workshop on the Semantic Web","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126848004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7