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Collection for Tools/Technologies/Prolog/Lisp/AI/Web/Agents related links?

Hi there,

sometimes when surfing the web I (and sure others) stumble across
links that are related to the topic of this mailing
list.

Should we have a mailing list to announce new links? Should we
use this list (I would vote against it)?

Would anybody be interested to be on such a list?

I would say this one would be a candidate for being posted on the new
list:

http://www.cs.umd.edu/projects/plus/SHOE/

> [Image]
> 
> SHOE
> 
> Parallel Understanding Systems Group
> Department of Computer Science,
> University of Maryland at College Park
> 
> SHOE stands for:
> 
> Simple
> HTML
> Ontology
> Extensions
> ----------------------------------------------------------------------
> 
> SHOE is a proposed small extension to HTML which allows HTML authors
> to annotate their web documents with formal knowledge-representation
> semantics. SHOE is meant to make real intelligent agents on the web
> possible.
> 
> HTML is primarily a display mechanism for human users; providing this
> displayed information in a meaningful, machine-readable way was an
> afterthought. And Natural Language Processing technology is still not
> sufficient to efficiently glean general, useful information from the
> body text of web pages. As a result, knowledge sources or agents on
> the web have generally been:
> 
>    * Word-based (or phrase-based) search engines like Lycos or Excite.
>    * Painstaking human-made web catalogs like Yahoo.
>    * Simple resource-indexing mechanisms like Aliweb.
>    * Simple special-purpose web-crawlers to gather information like
>      statistics or link breakage.
> 
> None of these works very well. For example, suppose that you are
> searching the web for the home pages of a Mr. and Mrs. Cook, whom you
> met at a conference last year. You don't remember their first names,
> but you do recall that both work for an employer associated with the
> massive ARPA funding initiative 123-4567. Using an existing man-made
> web catalog, you can find ARPA's home page but learn that hundreds of
> subcontractors and research groups are working on initiative 123-4567.
> Searching existing web indices for "Cook" yields thousands of pages
> about cooking, and searching for "ARPA" and "123-4567" provides you
> with hundreds and hundreds of hits about the popular initiative.
> Unfortunately, searching for all of them together yields nothing:
> apparently neither person lists the initiative on his or her web page.
> Just wandering through the Web on your own seems fruitless. What can
> you do?
> 
> This scenario is common to many people on the World-Wide Web. A major
> problem with searching on the Web today is that data available on the
> Web has little semantic organization beyond simple structural
> arrangement of text, declared keywords, titles, and abstracts. As the
> Web expands exponentially in size, this lack of organization makes it
> very difficult to efficiently glean knowledge from the Web, even with
> state-of-the-art natural language processing techniques, index
> mechanisms, or the assistance of an army of data-entry workers
> assembling hand-made Web catalogs. In short, there is no effective way
> use the World-Wide Web to answer a query like:
> 
> Find web pages for all  x, y, and z such that
>     x is a person, y is a person, z is an organization where:
>         lastName(x,"Cook") and lastName(y,"Cook") and
>         employee(z,x) and employee(z,y) and
>         marriedTo(x,y) and involvedIn(z,"ARPA 123-4567")
> 
> A Solution. A major cause of this problem is that HTML provides no
> effective way for HTML authors to declare facts about themselves on
> their web pages in a machine-readable way. SHOE remedies this by
> providing classification and relationship rules, ontology
> declarations, and a formal unique key mechanism for people's web
> pages--the tools necessary to build a web of knowledge, not just
> human-readable documents.
> 
> Publications
> 
> [o] Ontology-Based Knowledge Discovery on the World-Wide Web, by Sean
>     Luke, Lee Spector, and David Rager. To appear in the AAAI96
> Workshop on Internet-based Information Systems. Also available in
> Gzipped PostScript Format (.ps.gz).
> 
> Applications
> 
> [o] The Knowledge Annotator. This site is experimental and isn't
>     always up; further, it's rather slow, so be patient. The
> Knowledge Annotator is a Java program which allows you to annotate
> your web pages with SHOE graphically, without having to muck about
> with HTML.
> 
> [o] Exposé This is a web robot written in Macintosh Common Lisp and C
>     which searches out web pages with SHOE entries, gathers the
> associated knowledge, and loads it into PARKA, U Maryland's high-speed
> knowledge representation system. Using Exposé and PARKA, one can make
> queries like the one above, click on a result, and pop the resultant
> web pages in Netscape.
> 
> Resources
> 
> [o] The SHOE Specification. This specification give the up-to-date
>     definition of SHOE as a superset of HTML.
> 
> [o] Creating Ontologies Using SHOE. A walk-through.
> 
> [o] Adding Semantic Knowledge to an HTML Page. A walk-through.
> 
> [o] Base Ontology. When it's been formalized, this will be the
>     accepted "parent" ontology for all SHOE ontologies on the web.
> 
> [o] An Example SHOE Ontology. This ontology page gives an example of
>     a simple ontology for computer science departments.
> 
> People
> 
>    * Dr. James Hendler, PI
>    * Sean Luke, Graduate Research Asst.
>    * Dr. Lee Spector, Visiting Professor
>    * David Rager, M.S., Research Programmer

Greetings,

Rainer Joswig

Rainer Joswig, Lavielle EDV Systemberatung GmbH & Co, Lotharstrasse 2b, D22041
Hamburg, Tel: +49 40 658088, Fax: +49 40 65808-202,
Email: joswig@lavielle.com , WWW: http://www.lavielle.com/~joswig/