Sandpit: SerenA - Chance Encounters in the Space of Ideas

沙坑：SerenA - 思想空间的偶遇

基本信息

批准号：
EP/H042741/1
负责人：
Mel Woods
金额：
$ 196.01万
依托单位：
University of Dundee
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2010
资助国家：
英国
起止时间：
2010 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=EP%2FH042741%2F1
关键词：
Sandpit SerenA Chance Encounters Space

项目摘要

We live in an age of burgeoning information, and increasingly fast information access. The WorldWide Web has allowed us to make many positive changes in our society and environment, for example through social networking and e-publishing, but it also presents problems, by its very nature. There is now so much information being spread so quickly that it is becoming impossible for individuals to be aware of enough of it to enable them to take advantage of it.What is more, because of the information overload, we are having to rely more and more on search tools to find what we want. While existing search tools work quite well, after a bit of practice in using them, they are only able to give us information directly matching keywords in what we ask for. This is clearly useful, but its down side is that we are less likely than before to notice peripheral things, situations or people who are relevant to us, in the kind of serendipity or happy accident that led, for example, to the discovery of penicillin. It's becoming harder to notice such connections, partly because we are more narrowly focused in how we search for new knowledge, and partly because the search systems we use are very literal and not imaginative at all.This project aims to design a Serendipity Arena, called SerenA, which will proactively search information available in users' documents and on the Web to identify relevant knowledge and connections related to their work and their environment. The aim is not merely to search for shared keywords, like existing systems, but to use state-of-the-art technology from automated reasoning and computational creativity to identify things that users did not know they needed to know, using more advanced search based on metaphor and analogy. SerenA will be implemented as a physical presence in the working environment, and via personal technology, such as smartphones. With its users' permission, SerenA will proactively search for people and information in a user's local environment, both physically and virtually, allowing it, for example, to suggest that people who don't know each other might find some value in meeting (perhaps because they share an interest in particular aspects of the academic world), or to suggest a paper omitted by keyword search in a particular e-journal (because it has connections with other things of interest to the user who is searching).SerenA will have its own document-analysis technology, but it will also take advantage of the increasingly rich information available via the Semantic Web. The project will include development of a test-bed of information about music and musicology, as an exemplar of an academic field that can benefit from this enabling technology. Importantly, SerenA will have specially designed and carefully validated user interfaces, to make it intelligible to everyone interested in learning and discovery, of whatever kind.SerenA aims to draw man and machine closer together than ever before, enhancing its users' knowledge and their ability to interact with people likely to be important to them.

我们生活在一个信息蓬勃发展、信息获取速度越来越快的时代。万维网使我们能够在社会和环境中做出许多积极的改变，例如通过社交网络和电子出版，但它本质上也带来了问题。现在有如此多的信息传播得如此之快，以至于个人不可能充分了解这些信息以使其能够利用它。更重要的是，由于信息超载，我们不得不更多地依赖和利用这些信息。更多关于搜索工具来找到我们想要的东西。虽然现有的搜索工具运行得很好，但经过一些使用实践后，它们只能为我们提供与我们所要求的关键字直接匹配的信息。这显然是有用的，但它的缺点是，我们比以前更不可能注意到与我们相关的外围事物、情况或人，比如发现青霉素的机缘巧合或愉快的意外。。注意到这种联系变得越来越困难，部分原因是我们更加狭隘地关注如何搜索新知识，部分原因是我们使用的搜索系统非常字面化，根本没有想象力。这个项目旨在设计一个 Serendipity Arena，称为 Serendipity Arena SerenA，它将主动搜索用户文档和网络上的可用信息，以识别与其工作和环境相关的知识和联系。其目的不仅仅是像现有系统一样搜索共享关键字，而是使用来自自动推理和计算创造力的最先进技术来识别用户不知道他们需要知道的事情，使用基于更高级的搜索关于隐喻和类比。 SerenA 将通过个人技术（例如智能手机）在工作环境中以实际存在的方式实施。在获得用户许可的情况下，SerenA 将主动在用户的本地环境中搜索人员和信息，无论是物理环境还是虚拟环境，例如，它可以建议彼此不认识的人可能会在会面中发现一些价值（也许因为他们对学术界的特定方面都有共同的兴趣），或者建议在特定电子期刊中通过关键词搜索省略的论文（因为它与正在搜索的用户感兴趣的其他事物有联系）。SerenA 将有自己的文档分析技术，但它也将利用通过语义网提供的日益丰富的信息。该项目将包括开发有关音乐和音乐学的信息试验台，作为可以从这项支持技术中受益的学术领域的典范。重要的是，SerenA 将拥有经过专门设计和仔细验证的用户界面，以使其对任何类型的学习和发现感兴趣的每个人都能理解。SerenA 的目标是让人与机器比以往任何时候都更加紧密地联系在一起，从而增强用户的知识和能力与可能对他们很重要的人互动。