Semantic Web最新文献_第10页

Online approximative SPARQL query processing for COUNT-DISTINCT queries with web preemption 带有web抢占的COUNT-DISTINCT查询的在线近似SPARQL查询处理

IF 3 3区计算机科学

Semantic Web Pub Date : 2022-05-26 DOI: 10.3233/sw-222842

Julien Aimonier-Davat, H. Skaf-Molli, P. Molli, Arnaud Grall, Thomas Minier

引用次数: 4

TermitUp: Generation and enrichment of linked terminologies TermitUp:生成和丰富链接的术语

IF 3 3区计算机科学

Semantic Web Pub Date : 2022-05-26 DOI: 10.3233/sw-222885

Patricia Martín-Chozas, Karen Vázquez-Flores, Pablo Calleja, Elena Montiel-Ponsoda, V. Rodríguez-Doncel

{"title":"TermitUp: Generation and enrichment of linked terminologies","authors":"Patricia Martín-Chozas, Karen Vázquez-Flores, Pablo Calleja, Elena Montiel-Ponsoda, V. Rodríguez-Doncel","doi":"10.3233/sw-222885","DOIUrl":"https://doi.org/10.3233/sw-222885","url":null,"abstract":"Domain-specific terminologies play a central role in many language technology solutions. Substantial manual effort is still involved in the creation of such resources, and many of them are published in proprietary formats that cannot be easily reused in other applications. Automatic term extraction tools help alleviate this cumbersome task. However, their results are usually in the form of plain lists of terms or as unstructured data with limited linguistic information. Initiatives such as the Linguistic Linked Open Data cloud (LLOD) foster the publication of language resources in open structured formats, specifically RDF, and their linking to other resources on the Web of Data. In order to leverage the wealth of linguistic data in the LLOD and speed up the creation of linked terminological resources, we propose TermitUp, a service that generates enriched domain specific terminologies directly from corpora, and publishes them in open and structured formats. TermitUp is composed of five modules performing terminology extraction, terminology post-processing, terminology enrichment, term relation validation and RDF publication. As part of the pipeline implemented by this service, existing resources in the LLOD are linked with the resulting terminologies, contributing in this way to the population of the LLOD cloud. TermitUp has been used in the framework of European projects tackling different fields, such as the legal domain, with promising results. Different alternatives on how to model enriched terminologies are considered and good practices illustrated with examples are proposed.","PeriodicalId":48694,"journal":{"name":"Semantic Web","volume":"6 1","pages":"967-986"},"PeriodicalIF":3.0,"publicationDate":"2022-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72819715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Modular ontology modeling 模块化本体建模

IF 3 3区计算机科学

Semantic Web Pub Date : 2022-05-20 DOI: 10.3233/sw-222886

C. Shimizu, K. Hammar, P. Hitzler

{"title":"Modular ontology modeling","authors":"C. Shimizu, K. Hammar, P. Hitzler","doi":"10.3233/sw-222886","DOIUrl":"https://doi.org/10.3233/sw-222886","url":null,"abstract":"Reusing ontologies for new purposes, or adapting them to new use-cases, is frequently difficult. In our experiences, we have found this to be the case for several reasons: (i) differing representational granularity in ontologies and in use-cases, (ii) lacking conceptual clarity in potentially reusable ontologies, (iii) lack and difficulty of adherence to good modeling principles, and (iv) a lack of reuse emphasis and process support available in ontology engineering tooling. In order to address these concerns, we have developed the Modular Ontology Modeling (MOMo) methodology, and its supporting tooling infrastructure, CoModIDE (the Comprehensive Modular Ontology IDE – “commodity”). MOMo builds on the established eXtreme Design methodology, and like it emphasizes modular development and design pattern reuse; but crucially adds the extensive use of graphical schema diagrams, and tooling that support them, as vehicles for knowledge elicitation from experts. In this paper, we present the MOMo workflow in detail, and describe several useful resources for executing it. In particular, we provide a thorough and rigorous evaluation of CoModIDE in its role of supporting the MOMo methodology’s graphical modeling paradigm. We find that CoModIDE significantly improves approachability of such a paradigm, and that it displays a high usability.","PeriodicalId":48694,"journal":{"name":"Semantic Web","volume":"24 1","pages":"459-489"},"PeriodicalIF":3.0,"publicationDate":"2022-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75414993","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 18

Deep understanding of everyday activity commands for household robots 对家用机器人日常活动指令的深刻理解

IF 3 3区计算机科学

Semantic Web Pub Date : 2022-05-13 DOI: 10.3233/sw-222973

Sebastian Höffner, R. Porzel, Maria M. Hedblom, M. Pomarlan, Vanja Sophie Cangalovic, Johannes Pfau, J. Bateman, R. Malaka

{"title":"Deep understanding of everyday activity commands for household robots","authors":"Sebastian Höffner, R. Porzel, Maria M. Hedblom, M. Pomarlan, Vanja Sophie Cangalovic, Johannes Pfau, J. Bateman, R. Malaka","doi":"10.3233/sw-222973","DOIUrl":"https://doi.org/10.3233/sw-222973","url":null,"abstract":"Going from natural language directions to fully specified executable plans for household robots involves a challenging variety of reasoning steps. In this paper, a processing pipeline to tackle these steps for natural language directions is proposed and implemented. It uses the ontological Socio-physical Model of Activities (SOMA) as a common interface between its components. The pipeline includes a natural language parser and a module for natural language grounding. Several reasoning steps formulate simulation plans, in which robot actions are guided by data gathered using human computation. As a last step, the pipeline simulates the given natural language direction inside a virtual environment. The major advantage of employing an overarching ontological framework is that its asserted facts can be stored alongside the semantics of directions, contextual knowledge, and annotated activity models in one central knowledge base. This allows for a unified and efficient knowledge retrieval across all pipeline components, providing flexibility and reasoning capabilities as symbolic knowledge is combined with annotated sub-symbolic models.","PeriodicalId":48694,"journal":{"name":"Semantic Web","volume":"48 1","pages":"895-909"},"PeriodicalIF":3.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76785106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

LL(O)D and NLP perspectives on semantic change for humanities research 语言学(O)D和NLP视角下的人文学科语义变化研究

IF 3 3区计算机科学

Semantic Web Pub Date : 2022-05-06 DOI: 10.3233/sw-222848

F. Armaselu, E. Apostol, Anas Fahad Khan, Chaya Liebeskind, Barbara McGillivray, Ciprian-Octavian Truică, A. Utka, G. Oleškevičienė, M. Erp

引用次数: 6

Editorial of the Special Issue on Deep Learning and Knowledge Graphs 深度学习与知识图谱特刊编辑

IF 3 3区计算机科学

Semantic Web Pub Date : 2022-03-30 DOI: 10.3233/sw-223099

Mehwish Alam, D. Buscaldi, Michael Cochez, Francesco Osborne, Diego Reforgiato Recupero, H. Sack

引用次数: 1

Answer selection in community question answering exploiting knowledge graph and context information 利用知识图谱和上下文信息进行社区问答的答案选择

IF 3 3区计算机科学

Semantic Web Pub Date : 2022-03-29 DOI: 10.3233/sw-222970

Golshan Assadat Afzali Boroujeni, Heshaam Faili, Yadollah Yaghoobzadeh

引用次数: 2

Tab2KG: Semantic table interpretation with lightweight semantic profiles Tab2KG:使用轻量级语义配置文件的语义表解释

IF 3 3区计算机科学

Semantic Web Pub Date : 2022-03-29 DOI: 10.3233/SW-222993

Simon Gottschalk, Elena Demidova

{"title":"Tab2KG: Semantic table interpretation with lightweight semantic profiles","authors":"Simon Gottschalk, Elena Demidova","doi":"10.3233/SW-222993","DOIUrl":"https://doi.org/10.3233/SW-222993","url":null,"abstract":"Tabular data plays an essential role in many data analytics and machine learning tasks. Typically, tabular data does not possess any machine-readable semantics. In this context, semantic table interpretation is crucial for making data analytics workflows more robust and explainable. This article proposes Tab2KG – a novel method that targets at the interpretation of tables with previously unseen data and automatically infers their semantics to transform them into semantic data graphs. We introduce original lightweight semantic profiles that enrich a domain ontology’s concepts and relations and represent domain and table characteristics. We propose a one-shot learning approach that relies on these profiles to map a tabular dataset containing previously unseen instances to a domain ontology. In contrast to the existing semantic table interpretation approaches, Tab2KG relies on the semantic profiles only and does not require any instance lookup. This property makes Tab2KG particularly suitable in the data analytics context, in which data tables typically contain new instances. Our experimental evaluation on several real-world datasets from different application domains demonstrates that Tab2KG outperforms state-of-the-art semantic table interpretation baselines.","PeriodicalId":48694,"journal":{"name":"Semantic Web","volume":"115 1","pages":"571-597"},"PeriodicalIF":3.0,"publicationDate":"2022-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77596896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Methodologies for publishing linked open government data on the Web: A systematic mapping and a unified process model 在网络上发布链接的开放政府数据的方法:系统的映射和统一的过程模型

IF 3 3区计算机科学

Semantic Web Pub Date : 2022-02-08 DOI: 10.3233/sw-222896

B. Penteado, J. Maldonado, Seiji Isotani

引用次数: 5

Continuous multi-query optimization for subgraph matching over dynamic graphs 动态图上子图匹配的连续多查询优化

IF 3 3区计算机科学

Semantic Web Pub Date : 2022-01-28 DOI: 10.3233/sw-212864

Xi Wang, Qianzhen Zhang, Deke Guo, Xiang Zhao

{"title":"Continuous multi-query optimization for subgraph matching over dynamic graphs","authors":"Xi Wang, Qianzhen Zhang, Deke Guo, Xiang Zhao","doi":"10.3233/sw-212864","DOIUrl":"https://doi.org/10.3233/sw-212864","url":null,"abstract":"There is a growing need to perform real-time analytics on dynamic graphs in order to deliver the values of big data to users. An important problem from such applications is continuously identifying and monitoring critical patterns when fine-grained updates at a high velocity occur on the graphs. A lot of efforts have been made to develop practical solutions for these problems. Despite the efforts, existing algorithms showed limited running time and scalability in dealing with large and/or many graphs. In this paper, we study the problem of continuous multi-query optimization for subgraph matching over dynamic graph data. (1) We propose annotated query graph, which is obtained by merging the multi-queries into one. (2) Based on the annotated query, we employ a concise auxiliary data structure to represent partial solutions in a compact form. (3) In addition, we propose an efficient maintenance strategy to detect the affected queries for each update and report corresponding matches in one pass. (4) Extensive experiments over real-life and synthetic datasets verify the effectiveness and efficiency of our approach and confirm a two orders of magnitude improvement of the proposed solution.","PeriodicalId":48694,"journal":{"name":"Semantic Web","volume":"41 1","pages":"601-622"},"PeriodicalIF":3.0,"publicationDate":"2022-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78534916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1