SciHyp: A Fine-grained Dataset Describing Hypotheses and Their Components from Scientific Articles

SciHyp is a dataset that supports researchers in understanding and identifying hypotheses in scientific literature, serving as a valuable resource across various scientific disciplines. SciHyp provides invaluable insights into the formulation and structure of hypotheses in scientific literature, making it a crucial resource for researchers in various scientific disciplines. This repository contains the ontology and datasets described in our paper, SciHyp: A Fine-grained Dataset Describing Hypotheses and Their Components from Scientific Articles. 🚨 Important Update: The ontology and RDF data files have been updated and are now available on GitLab. The latest version will be uploaded here soon. crowd.ttl: The data in this file has been curated utilizing the SciHyp pipeline, which employs a Hybrid-LLM-Crowd methodology described in the paper. expert.ttl: Contrasting the crowd-sourced data, this file is composed of data curated through expert annotation. It reflects a more specialized and precise perspective, offering insights grounded in expert knowledge and analysis. scihyp_VoiD.ttl: Serving as a metadata file containing a VoiD/DCAT description (Vocabulary of Interlinked Datasets/Data Catalog Vocabulary). CrowdAlytics_7.4.owl: This file is the backbone of the dataset, outlining the underlying ontology that defines the structure and relationships within the SciHyp data. You can find a detailed description of the data and other resources here. SPARQL Endpoint For querying the current SciHyp dataset, you can use our SPARQL endpoint. This endpoint allows you to execute SPARQL queries to explore and extract data from the SciHyp dataset interactively. SPARQL Endpoint URL: https://crowdalytics.ifi.uzh.ch/sparql/dataset.html Below is an example query to retrieve some annotations. PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> PREFIX ca: <http://ddis.ifi.uzh.ch/ontologies/2021/crowdalytics#> PREFIX disk: <http://disk-project.org/ontology/disk#> PREFIX xsd: <http://www.w3.org/2001/XMLSchema#> PREFIX sqo: <https://w3id.org/sqo#> SELECT ?hypothesis (GROUP_CONCAT(DISTINCT ?independentVariableText; separator=" ") AS ?independentVar) (GROUP_CONCAT(DISTINCT ?dependentVariableText; separator=" ") AS ?dependentVar) ?leftGroup ?rightGroup ?relation_Operator WHERE { ?TriggeredLineOFInquiry disk:hasLineOfInquiry ?LineOfInquiryURI . ?LineOfInquiryURI disk:hasHypothesisQuery ?hypothesis . ?LineOfInquiryURI disk:hasQuestion ?question . OPTIONAL { ?question sqo:hasQuestionVariable ?questionVariable . ?questionVariable ca:typeOfVariable ?vartype . ?questionVariable ca:hasHypothesisVariableText ?vartext . ?LineOfInquiryURI ca:hasRelation ?relation_Operator . BIND(IF(STR(?vartype) = "Independent Variable", ?vartext, "") AS ?independentVariableText) BIND(IF(STR(?vartype) = "Dependent Variable", ?vartext, "") AS ?dependentVariableText) } OPTIONAL{ ?question ca:hasGroupPair ?groupPair . ?groupPair ca:hasLeftGroup ?leftGroup . ?groupPair ca:hasRightGroup ?rightGroup . ?LineOfInquiryURI ca:hasOperator ?relation_Operator . } } GROUP BY ?hypothesis ?leftGroup ?rightGroup ?relation_Operator Note: You can find more example queries here.SciHyp是一款支持研究人员理解、识别科学文献中假说的数据集，是跨多科学学科的宝贵资源。该数据集能够提供科学文献中假说的构建方式与结构的珍贵洞见，成为各学科研究人员的关键研究资源。 本仓库包含我们发表的论文《SciHyp：一种从科学文章中提取假说及其组成部分的细粒度数据集》中提及的本体与数据集。 🚨 重要更新：本数据集的本体及RDF（资源描述框架，Resource Description Framework）数据文件已完成更新，现可于GitLab获取；最新版本即将上传至本仓库。 `crowd.ttl`：该文件中的数据经由SciHyp流程整理生成，该流程采用了论文中所述的混合大语言模型-众包（Hybrid-LLM-Crowd）方法论。 `expert.ttl`：与众包数据形成对照，该文件中的数据均经过专家标注整理。其反映了更为专业精准的研究视角，提供了基于专家知识与分析的深刻见解。 `scihyp_VoiD.ttl`：该文件为元数据文件，包含VoiD/DCAT（互联数据集词汇表（Vocabulary of Interlinked Datasets，简称VoiD）/数据目录词汇表（Data Catalog Vocabulary，简称DCAT））描述。 `CrowdAlytics_7.4.owl`：该文件为本数据集的核心支撑，勾勒出定义SciHyp数据集内部结构与关联关系的底层本体框架。 你可在此处查阅数据及其他资源的详细说明。 ### SPARQL 端点 如需查询当前SciHyp数据集，可使用我们提供的SPARQL（SPARQL协议及RDF查询语言，SPARQL Protocol and RDF Query Language）端点。该端点支持交互式执行SPARQL查询，以探索并提取SciHyp数据集内的相关数据。 SPARQL端点URL：https://crowdalytics.ifi.uzh.ch/sparql/dataset.html 以下为用于检索部分标注信息的示例查询： PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> PREFIX ca: <http://ddis.ifi.uzh.ch/ontologies/2021/crowdalytics#> PREFIX disk: <http://disk-project.org/ontology/disk#> PREFIX xsd: <http://www.w3.org/2001/XMLSchema#> PREFIX sqo: <https://w3id.org/sqo#> SELECT ?hypothesis (GROUP_CONCAT(DISTINCT ?independentVariableText; separator=" ") AS ?independentVar) (GROUP_CONCAT(DISTINCT ?dependentVariableText; separator=" ") AS ?dependentVar) ?leftGroup ?rightGroup ?relation_Operator WHERE { ?TriggeredLineOFInquiry disk:hasLineOfInquiry ?LineOfInquiryURI . ?LineOfInquiryURI disk:hasHypothesisQuery ?hypothesis . ?LineOfInquiryURI disk:hasQuestion ?question . OPTIONAL { ?question sqo:hasQuestionVariable ?questionVariable . ?questionVariable ca:typeOfVariable ?vartype . ?questionVariable ca:hasHypothesisVariableText ?vartext . ?LineOfInquiryURI ca:hasRelation ?relation_Operator . BIND(IF(STR(?vartype) = "Independent Variable", ?vartext, "") AS ?independentVariableText) BIND(IF(STR(?vartype) = "Dependent Variable", ?vartext, "") AS ?dependentVariableText) } OPTIONAL{ ?question ca:hasGroupPair ?groupPair . ?groupPair ca:hasLeftGroup ?leftGroup . ?groupPair ca:hasRightGroup ?rightGroup . ?LineOfInquiryURI ca:hasOperator ?relation_Operator . } } GROUP BY ?hypothesis ?leftGroup ?rightGroup ?relation_Operator 注意：你可在此处查阅更多示例查询。