Relationship web: realizing the Memex vision with the help of semantic web

MS Pub Date : 2007-09-28 DOI:10.1145/1290067.1290068
A. Sheth
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Abstract

Relationship Web takes us from "which document" could have information I need to "what's in the resources" that gives me the insight and knowledge I need for decision making. Dr. Vannevar Bush outlined his vision for Memex in a 1945 Atlantic Monthly article [1]. Describing how the human brain navigates an information space in what he called trailblazing, Dr. Bush said, "It operates by association. With one item in its grasp, it snaps instantly to the next that is suggested by the association of thoughts, in accordance with some intricate web of trails carried by the cells of the brain." Now that we can label content to associate semantics (meaning) to data and build information processing in which relationships rather than keywords and entities play the central role, the possibility of realizing the Memex vision seems tantalizingly close. Although through much of the recent past attention has been on search, finding a document is seldom the end goal of a human activity. Aligned with the Memex vision, human need for information is related to a desire and need for information processing that goes well beyond delivering a list of documents that matches the keywords or even the implied intent. Human information seeking is likely to be driven by more demanding activities such as interaction and entertainment, finding associations and answers, performing analysis, gaining insights, or making decisions. The Memex vision provides an interesting paradigm for supporting these objectives. Changing the computing paradigm to one that focuses on relationships is the key to realizing the Memex vision. We term our realization of Memex Relationship Web. In past work we observed the changing focus from documents to entities to relationships. We also investigated a broad variety of issues related to modeling, validating, discovering, and exploiting the many types of relationships between entities in content [2]. The first result of these efforts was the concept of Metadata Reference Links (MREFs), which proposed associating semantic metadata with hypertext links [3]. MREF faced several limitations, but recent significant advances resulting from research, standards, and technology development associated with Semantic Web provide building blocks for realizing the Relationship Web. We outline below some recent relationship-centric research to which we have had the opportunity to contribute, at the same time acknowledging extensive work in each area by many researchers and practitioners.
关系网:借助语义网实现Memex的愿景
关系网络让我们从“哪个文档”可能包含我需要的信息,到“资源中有什么”,从而为我提供决策所需的洞察力和知识。Vannevar Bush博士在1945年《大西洋月刊》的一篇文章中概述了他对Memex的愿景[1]。在描述人类大脑如何以他所谓的开拓性方式导航信息空间时,布什博士说,“它是通过联想来运作的。当它抓住一件东西时,它会根据大脑细胞携带的一些复杂的轨迹网,立即切换到由思想联想所提示的下一件东西。”既然我们可以标记内容,将语义(意义)与数据关联起来,并构建信息处理,其中关系而不是关键字和实体发挥中心作用,那么实现Memex愿景的可能性似乎非常接近。尽管最近的大部分注意力都集中在搜索上,但查找文档很少是人类活动的最终目标。与Memex的愿景一致,人类对信息的需求与信息处理的愿望和需求有关,而不仅仅是提供与关键字匹配的文档列表,甚至是隐含的意图。人类信息搜索可能是由要求更高的活动驱动的,比如交互和娱乐、寻找关联和答案、执行分析、获得见解或做出决策。Memex远景为支持这些目标提供了一个有趣的范例。将计算范式转变为关注关系的范式是实现Memex愿景的关键。我们称之为Memex关系网络的实现。在过去的工作中,我们观察到焦点从文档到实体再到关系的变化。我们还研究了与建模、验证、发现和利用内容中实体之间的多种类型关系相关的各种各样的问题[2]。这些努力的第一个成果是元数据参考链接(Metadata Reference Links, MREFs)的概念,它提出将语义元数据与超文本链接相关联[3]。MREF面临着一些限制,但是最近与语义网相关的研究、标准和技术发展取得了重大进展,为实现关系网提供了构建块。我们在下面概述了一些最近的以关系为中心的研究,我们有机会为这些研究做出贡献,同时承认许多研究人员和实践者在每个领域所做的广泛工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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