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conceptual knowledge process<strong>in</strong>g, knowledge representation is extended by the two techniques of knowledge <strong>in</strong>ference<br />

and knowledge acquisition. In conceptual space, knowledge <strong>in</strong>ference is formally represented by: (1) view order<br />

closure; (2) view extent/<strong>in</strong>tent relational closure; and (3) <strong>in</strong>clusion constra<strong>in</strong>t between extent/<strong>in</strong>tent composition and<br />

<strong>in</strong>cidence. Knowledge acquisition is formally represented by: (1) any <strong>in</strong>itialization construction from a tree (forest or<br />

directed acyclic graph) hierarchy; (2) <strong>in</strong>teractive view def<strong>in</strong>itions; and (3) the structural operations of (a) product<strong>in</strong>g<br />

(apposition and subposition) and (b) summ<strong>in</strong>g. Conceptual brows<strong>in</strong>g is navigation through conceptual space.<br />

Consider<strong>in</strong>g the dualistic extent/ <strong>in</strong>tent structure of a concept, it has two temporally disjo<strong>in</strong>t modes; <strong>in</strong> extentional<br />

mode we browse over concepts with respect to their extents, whereas <strong>in</strong> <strong>in</strong>tentional mode we use conceptual <strong>in</strong>tents <strong>in</strong><br />

a strictly dual manner. Conceptual brows<strong>in</strong>g has both a local and a global scope. Brows<strong>in</strong>g <strong>in</strong> the global scope means<br />

brows<strong>in</strong>g over the entire concept lattice, whereas brows<strong>in</strong>g <strong>in</strong> a local scope means brows<strong>in</strong>g over a local neighborhood<br />

concept lattice. There are two dual senses or modes for the idea of a local neighborhood of a formal concept with<strong>in</strong> a<br />

concept lattice. The extentional neighborhood of a concept regards the concept as an attribute; it fuses the <strong>in</strong>tent of the<br />

concept as a collective attribute and distributes the extent downward over a local neighborhood lattice. The <strong>in</strong>tentional<br />

neighborhood is strictly dual. Conceptual brows<strong>in</strong>g is based upon a notion of conceptual similarity. The extentional<br />

similarity, which is used <strong>in</strong> the extentional mode, is a measure of the similarity of any two concepts accord<strong>in</strong>g to their<br />

common extent card<strong>in</strong>ality. Aga<strong>in</strong>, the <strong>in</strong>tentional similarity is strictly dual.<br />

WWW Conceptual Space<br />

In order to illustrate the ideas for organiz<strong>in</strong>g conceptual knowledge which have been <strong>in</strong>troduced <strong>in</strong> this paper, we here<br />

discuss a familiar conceptual knowledge universe, the universe of World Wide Web conferences; <strong>in</strong> particular, the<br />

concept space of the proceed<strong>in</strong>gs documentation of WWW’95 (http://www.igd.fhg.de/www95.html). At the top level,<br />

these proceed<strong>in</strong>gs consist of papers, posters, tutorial notes/slides, and workshop proceed<strong>in</strong>gs. The WWW'95<br />

proceed<strong>in</strong>gs encompass a diverse range of topics (e.g., WWW protocol enhancements, resource discovery, retrieval,<br />

web security, etc.). But <strong>in</strong> order to provide an effective user-<strong>in</strong>terface, the metadata from the Web documentation needs<br />

to be conceptually scaled accord<strong>in</strong>g to the needs and <strong>in</strong>terests of the user. Such conceptual scal<strong>in</strong>g can be<br />

accomplished by user-def<strong>in</strong>ed conceptual views.<br />

Obta<strong>in</strong><strong>in</strong>g mean<strong>in</strong>gful descriptive document data is a crucial step. Descriptive <strong>in</strong><strong>format</strong>ion can be encoded <strong>in</strong><br />

document markup. The onl<strong>in</strong>e version of the proceed<strong>in</strong>gs of WWW’95 uses the tag <strong>in</strong> HTML, <strong>in</strong> order to<br />

augment documents with metadata such as title, names of authors, or keywords. [Tab. 1] shows a document header<br />

with embedded metadata. The <strong>in</strong><strong>format</strong>ion stored as attribute/value pairs can easily be extracted, and postprocessed to<br />

provide a mach<strong>in</strong>e parsable <strong>in</strong>terchange <strong>format</strong>. As <strong>in</strong>terchange <strong>format</strong> [Tab. 2], currently we are us<strong>in</strong>g a BibTeXderived<br />

<strong>format</strong> compatible with the Harvest Summary Object Interchange Format (SOIF) [Bowman et al. 1994a] and<br />

the Synopsis File System synopsis [Bowman 1996]. Later we <strong>in</strong>tend to structure metadata <strong>in</strong> terms of the entityrelationship<br />

data model.<br />

<br />

<br />

WWW'95: Towards an Intelligent Publish<strong>in</strong>g Environment<br />

<br />

<br />

<br />

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<br />

Table 1: Metadata <strong>in</strong> HTML Documents<br />

@Paper {<br />

UID = pap72,<br />

URI = "/www/www95/proceed<strong>in</strong>gs/papers/72/publish/publish<strong>in</strong>g.html",<br />

TITLE = "WWW'95: Towards an Intelligent Publish<strong>in</strong>g Environment",<br />

SIZE = "33447",<br />

SESSION = "Liv<strong>in</strong>g Documents",<br />

KEYWORDS = {"Internet tools", "electronic publish<strong>in</strong>g", "hyperl<strong>in</strong>k databases"}<br />

AUTHORS = {"James E. Pitkow", "R. Kipp Jones"}<br />

}

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