{"title":"An Interface Sketch for Queripidia: Query-driven Knowledge Portfolios from the Web","authors":"Laura Dietz, M. Schuhmacher","doi":"10.1145/2810133.2810145","DOIUrl":null,"url":null,"abstract":"We aim to augment textual knowledge resources such as Wikipedia with information from the World Wide Web and at the same time focus on a given information need. We demonstrate a solution based on what we call knowledge portfolios. A knowledge portfolio is a query-specific collection of relevant entities together with associated passages from the Web that explain how the entity is relevant for the query. Knowledge portfolios are extracted through a combination of retrieval from World Wide Web and Wikipedia with a reasoning process on mutual relevance. A key ingredient are entity link annotations that tie abstract entities from the knowledge base into their context on the Web. We demonstrate the results of our fully automated system Queripidia, which is capable to create a knowledge portfolios for any web-style query, on data from the TREC Web track. The online demo is available via http://smart-cactus.org/~dietz/knowport/.","PeriodicalId":298747,"journal":{"name":"Proceedings of the Eighth Workshop on Exploiting Semantic Annotations in Information Retrieval","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Eighth Workshop on Exploiting Semantic Annotations in Information Retrieval","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2810133.2810145","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
We aim to augment textual knowledge resources such as Wikipedia with information from the World Wide Web and at the same time focus on a given information need. We demonstrate a solution based on what we call knowledge portfolios. A knowledge portfolio is a query-specific collection of relevant entities together with associated passages from the Web that explain how the entity is relevant for the query. Knowledge portfolios are extracted through a combination of retrieval from World Wide Web and Wikipedia with a reasoning process on mutual relevance. A key ingredient are entity link annotations that tie abstract entities from the knowledge base into their context on the Web. We demonstrate the results of our fully automated system Queripidia, which is capable to create a knowledge portfolios for any web-style query, on data from the TREC Web track. The online demo is available via http://smart-cactus.org/~dietz/knowport/.
我们的目标是增加文本知识资源,如维基百科与来自万维网的信息,同时专注于给定的信息需求。我们展示了一个基于我们称之为知识组合的解决方案。知识组合是特定于查询的相关实体的集合,以及来自Web的相关段落,这些段落解释了实体如何与查询相关。通过对万维网和维基百科的检索,结合相互关联的推理过程,提取知识组合。一个关键因素是实体链接注释,它将知识库中的抽象实体绑定到Web上的上下文中。我们展示了我们的全自动系统Queripidia的结果,它能够在TREC Web track的数据上为任何Web样式的查询创建知识组合。在线演示可通过http://smart-cactus.org/~dietz/knowport/获得。