1. WebScripter Status Briefing University of Southern California Information Sciences Institute Pedro Szekely, Robert Neches Martin Frank, Juan Lopez, Baoshi Yan 13 February 2002

2. Executive Overview n WebScripter is a report/portal generator which is easy-to-use and scalable to present large DAML data sets. n Special benefit of approach is that aligning multiple source ontologies is an effortless side effect of populating a report. n Next issue: not enough DAML content out there, need much more (but theres lots of legacy materials without mark-up). n Next step: extend WebScripter to support collaborative DAML production – both creation of new DAML and mark-up of existing materials – as a similarly low-effort side effect of report creation.

3. WebScripter Accomplishments: Introduction n Easy-to-use interactive report/portal generator l Users lay out skeleton DAMLized presentation l Start populating by dragging sample content l DAML retrieval finishes populating, keeps it live l Product: DAMLized report, useful as-is or for driving a portal n Users implicitly align multiple ontologies l Sample content dragged in from many sources l Usage produces mapping

4. Accomplishments: Software n WebScripter 1.0 released Aug 2001 l Solid report generation from textual report definitions, for small DAML files l Alpha-quality report generation GUI n WebScripter 2.0 released Feb 2002 l 10X + faster report generation l Handles DAML input files over 10MB l Solid report generation GUI: practical for external users to create usable products 1. View and select candidate knowledge sources 2. View source ontology 3. Drag content into report

5. Accomplishments: Applications Outside Our Group SWOBIS Project tools.semanticweb.org World-wide inventory of semantic web software n Multiple versions: varying granularity, look-and-feel n Illustrates ease of use: external WebScripter 1.0 user created a number of report of their DAML data University of Vienna data www.isi.edu/webscripter/ vienna-2002-01-28.html Front-end to DAMLized DB: 30+ yrs. of people/project records n ~10MB DAML, ~90K RDF triples n WS helped in cleaning up DAML n Gives equiv. functionality of a DB viewer to the DAML world CAMERA Bugs List www.geocities.com/ snapv1/v1/bugs.htm Distributed mgt of bug reports, programmer tasks, status n Shows power of DAML for collaboration: continuous update, anyone can contribute, everyone sees, no central maintainer n Highlights importance of ease of contributing DAML content

6. Proposed WebScripter Contribution to ONA Experiment Plans, Phase 1: Tiger Team Support n Contribution to exercise l Produce a useful app. l Enable group editing and schema development l Eliminate bottleneck of requiring single ontology n Benefits to be shown l Ease-of-use: ontology editing via visual editing by domain experts l Simple division of labor: team can split data horizontally, vertically, or overlapping l Rapid closure: work accelerated by grass roots alignment ontology Faster Development, Improved Usability for Military Users Integrated, DAMLized Portal, for Both Agents and Humans, Built by Distributed Team

7. 2002-02-10 Proposed WebScripter Contribution to ONA Experiment Plans, Phase 2: Mark-Up of Legacy Sources n Contribution to exercise l Rapid content generation l Fills need for tools for retrofitting DAML to pre- existing materials n Benefits to be shown l Low-cost: extends the grass roots development model from ontologies to content creation/mark-up l Collaborative: extends the collaborative editing paradigm to content creation and mark-up DAML in reports propagates back to source documents -- and DAMLizes them, too Rapid, low-cost DAMLization of legacy sources: Entire user community does mark-up just by doing their everyday work Plain HTML Page DAML-Wrapped HTML Page Automatic DAML Back-Propagated DAML

8. 2002 Deliverables n 3.0 release May: WebScripter as Collaborative DAML Editor l Users can create a simple WebScripter report that is a DAML source itself without any external source (single class, 1 attribute per column) l Users can make assertions in several external ontologies at once by providing a value for a report hole l Users can collaboratively edit a WebScripter report, including adding new columns, without any software installation (servlet-based) n 4.0 release August: WebScripter as Legacy Source Mark-up Tool l Users can paste URLs of legacy material intro reports, this automatically creates DAML meta-data about it (used by whom when, is related to which attribute of which instance) l Users can paste fragments of dynamic Web pages into reports, leading to similar meta-data creation; can be used to construct DAML-driven portal pages for humans and machines

9. Internal Metrics External l Collaborative DAML Editing u How long does it take a group of 2 to divide their work, create two reports, and combine them into a human-usable composite report/portal? u How long does it take to make that report feed into the ONA agent correctly? l Mark-Up of Legacy Sources u How much DAML is generated about how many previously unDAMLized documents (measured in RDF triples)? u How useful is this generated mark-up in producing a new report that uses the same source documents (measured in time saved as compared to not having the auto- generated mark-up). l DAML+WebScripter vs. the world without u Claim: More people doing mark-up (DAML+WS) s Measure # of people contributing mark-up used by others vs. KB experts doing same. u Claim: More mark-up produced (DAML+WS) s Count # of documents with mark-up used by others vs. KB experts doing same. u Claim: More useful mark-up ( WS in particular ) s Compare % of mark-up actually used by anyone vs. KB experts doing same. u Claim: Less skill needed ( WS in particular ) s Compare the minimal educational level needed to produce mark-up used by others. u Claim: Less time spent doing mark-up s Measure the cumulative time explicitly spent on mark-up vs. what KB experts would have spent.

10. WebScripter Summary n Accomplishments: As-is, WebScripter is a useful and easy-to-use tool for combining data from multiple sources and for auto-alignment of the underlying ontologies. n 2002 Plans: Focus on producing more DAMLized sources with military utility, by support for browser-based collaborative editing and DAMLization of legacy sources (key idea: automatically inferring and propagating DAML from HTML fragment copy-and-paste actions). n 2002 Deliverables: May: collaborative DAML editing, August: legacy source mark-up n Proposed Metrics: collaborative editing: time to first human portal, time to first ONA-tool-readable data, DAMLization of legacy sources: quantity and re-use counts of generated DAML WebScripter reports collect information that people want; thus WebScripter mark-up creates DAML that people need.