TM

Mentioned

I would like to learn more about the relation between this

What effect does principle-based KO have on the quality of

In conclusion, TM -based services may alleviate KO tasks,

However, at that time none of them had even heard about the

guide through the process (e.g. the analysis of user

Even though this is very ambitious indeed, as the TM

In this technical TM session I - a KM apprentice - will

I think, it is now obvious why TM , KO and KM experts

Only recently have documentalists recognized the full power

As most of this knowledge is implicit, the computer has no

Fortunately, the TM community has already started the

The next step is to find out how these complex structures

The reason may be that the very differentiated relation

The original requirement that had led to the development of

Artificial Intelligence databases. Artificial Intelligence

Central Knowledge Officer of a large technical consultancy

Knowledge Interchange Format ( , , )? Why not? Now with TMs

Knowledge Management . After all, KO is much about

Current paper presents the AI knowledge representation

Conceptual graphs are more precise and mature formulation

Topic maps offer larger building blocks than CG : topic

One of the lessons to be learned from AI is that TM should

As shown in the previous sections, CG research has

Linear notation for TM

Based on achievements in textual representation of AI

The proposed language is based conceptually on linear

Square and round brackets used in CG for concept and

Presented language will be used later as a syntax

In fact whether we use " assoc[a] " instead of " (a) " and

As useful as textual notation is graphical representation

After having defined linear and graphical notations for TM

In case of TM -based application retrievable resources may

information resources (actual data, documents,

topic map domain data (metadata expressed in form of TM )

Thus potentially retrieval may be twofold: at the level of

In typical applications content is embered in a fixed and

Thus TM querying capabilities may be perceived as

Typical RDB structures may be expressed using TM model.

Presented TM model for relational database shows simple two

It is possible in SQL engines by querying dedicated MASTER

The role entities play in our TM data model may be defined

If we come back to the TM model for RDB we could

TMQL select query returns a topic map. In the examples

For useful exploration of information resources in the

We argued that TM s seem to take over duties of AI

What has to be expressed additionally is: what of results

Interesting aspect of presented approach is that users may

This was one of the goals of CG research. For instance

Based on previous research in AI we have introduced linear

information retrieval for TM -encoded data. Information

Relational Data Base and SQL is worth being investigated

Topic Maps , ISO/IEC 13250:1999 standard, describe what an

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