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

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.

REFERENCES

• 1: Bush, V. As We May Think. Atlantic Monthly, 176, 1 (1945), 101--108.
• 2: Sheth, A., Arpinar, I.B., and Kashyap, V. Relationships at the Heart of Semantic Web: Modeling, Discovering and Exploiting Complex Semantic Relationships. In Enhancing the Power of the Internet Studies in Fuzziness and Soft Computing, Nikravesh, et al., Eds. Springer-Verlag, 2003.
• 3: K. Shah , A. Sheth, Logical Information Modeling of Web-Accessible Heterogeneous Digital Assets, Proceedings of the Advances in Digital Libraries Conference, p.266, April 22-24, 1998
• 4: Hammond, B., Sheth, A., and Kochut, K. Semantic Enhancement Engine: A Modular Document Enhancement Platform for Semantic Applications over Heterogeneous Content. In Real World Semantic Web Applications, V. Kashyap and L. Shklar, Eds. Ios Press, 2002, 29--49.
• 5: Ramakrishnan, C., Kochut, K.J., and Sheth, A.P. A Framework for Schema--Driven Relationship Discovery from Unstructured Text, in ISWC 2006. 2006. p. 583--596.
• 6: Sahoo S., Bodenreider, O., Zeng, K., and Sheth, A. Adapting resources to the Semantic Web: Experience with Entrez Gene (pdf). W3C Semantic Web Health Care & Life Sciences Workshop at ISWC 2006.
• 7: Sheth, A.P., Ramakrishnan, C., and Thomas, C. Semantics for the Semantic Web: the Implicit, the Formal and the Powerful. Int'l Journal on Semantic Web and Information Systems, 1,1 (2007), 1--18.
• 8: A. Sheth , S. Thacker , S. Patel, Complex relationships and knowledge discovery support in the InfoQuilt system, The VLDB Journal — The International Journal on Very Large Data Bases, v.12 n.1, p.2-27, May 2003 [doi>10.1007/s00778-002-0071-z]
• 9: Kemafor Anyanwu , Angela Maduko , Amit Sheth, SemRank: ranking complex relationship search results on the semantic web, Proceedings of the 14th international conference on World Wide Web, May 10-14, 2005, Chiba, Japan [doi>10.1145/1060745.1060766]
• 10: Kemafor Anyanwu , Angela Maduko , Amit Sheth, SPARQ2L: towards support for subgraph extraction queries in rdf databases, Proceedings of the 16th international conference on World Wide Web, May 08-12, 2007, Banff, Alberta, Canada [doi>10.1145/1242572.1242680]
• 11: Sheth, A., and Ramakrishnan, C. Realizing the Relationships Web: Blazing Semantic Trails Between Resources, IEEE Internet Computing (2007) (in press).

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.2 DATABASE MANAGEMENT
      H.2.m Miscellaneous

General Terms:
Algorithms, Design, Experimentation, Human Factors

Keywords:
relationship web, semantic browsing, semantic web, trailblazing