WAG: Web-At-a-Glance

The Internet revolution has made an enormous quantity of information available to a disparate variety of people. The amount of information, the typical access modality (i.e. browsing), and the open growth of the Net, force the user, while searching for the information of interest, to dip into multiple sources, in a labyrinth of billion of links. Web-at-a-Glance (WAG) is a system allowing the user to query (instead of browsing) the World Wide Web. WAG performs this ambitious task by constructing a personalized database, pertinent to the user's interests. The system semi-automatically gleans the most relevant information from a Web site or several Web sites, stores it into a database, cooperatively designed with the user, and allows him/her to query such a database through a visual interface equipped with a powerful multimedia query language. This paper presents the design philosophy, the architecture and the core of the WAG system. A prototype WAG is being implemented to test the feasibility of the proposed approach.

[1]  Tiziana Catarci,et al.  Knowledge-based Schema Integration In a Heterogeneous Environment , 1995, NGITS.

[2]  David Konopnicki,et al.  W3QS: A Query System for the World-Wide Web , 1995, VLDB.

[3]  David Konopnicki,et al.  Information gathering in the World-Wide Web: the W3QL query language and the W3QS system , 1998, TODS.

[4]  Deborah L. McGuinness,et al.  CLASSIC: a structural data model for objects , 1989, SIGMOD '89.

[5]  Chanathip Namprempre,et al.  HyPursuit: a hierarchical network search engine that exploits content-link hypertext clustering , 1996, HYPERTEXT '96.

[6]  Shi-Kuo Chang,et al.  Iconic Indexing by 2-D Strings , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[7]  Ellen Spertus,et al.  ParaSite: Mining Structural Information on the Web , 1997, Comput. Networks.

[8]  Diego Calvanese,et al.  A Unified Framework for Class-Based Representation Formalisms , 1994, KR.

[9]  Ramana Rao,et al.  Silk from a sow's ear: extracting usable structures from the Web , 1996, CHI.

[10]  Nicole Yankelovich,et al.  Context and orientation in hypermedia networks , 1989, TOIS.

[11]  Maurizio Lenzerini,et al.  Representing and Using Interschema Knowledge in Cooperative Information Systems , 1993, Int. J. Cooperative Inf. Syst..

[12]  Ben Shneiderman,et al.  Identifying aggregates in hypertext structures , 1991, HYPERTEXT '91.

[13]  Tiziana Catarci,et al.  A Graph-Based Framework for Multiparadigmatic Visual Access to Databases , 1996, IEEE Trans. Knowl. Data Eng..

[14]  Tiziana Catarci,et al.  Graphical interaction with heterogeneous databases , 1997, The VLDB Journal.

[15]  Eduardo Mena Nieto Observer: an approach for query processing in global information systems based on interoperation across pre-existing ontologies , 1999 .

[16]  Tiziana Catarci,et al.  Fundamental Graphical Primitives for Visual Query Languages , 1993, Inf. Syst..

[17]  Tiziana Catarci Interacting with databases in the global information infrastructure , 1997 .

[18]  Serge Abiteboul,et al.  From structured documents to novel query facilities , 1994, SIGMOD '94.

[19]  Tiziana Catarci,et al.  Visual Query Systems for Databases: A Survey , 1997, J. Vis. Lang. Comput..

[20]  Alberto O. Mendelzon,et al.  Querying the World Wide Web , 1996, Fourth International Conference on Parallel and Distributed Information Systems.

[21]  Nahum D. Gershon,et al.  Computer Graphics and Visualization in the Global Information Infrastructure , 1996, IEEE Computer Graphics and Applications.