WebKB (http://www.webkb.org) is a knowledge base server that permits internet/intranet Web users to add, complement or annotate knowledge into a shared knowledge base. Such a tool is useful when information of various kinds need to be interlinked or compared to each other, or retrieved via a question-answering system making inferences. This is the case for some corporate memories, structured catalogs (e.g. Yellow-Page-like catalogs or those in auction/advertisement Web sites), or more generally for "knowledge" repositories. As opposed to relational or object oriented databases, information in knowledge bases (KBs) can be freely and dynamically structured by end-users. The drawback is that knowledge is difficult to enter and automatically compare or share. WebKB seems to be the first KB server significantly reducing this difficulty. To do so, we have developped and implemented (i) expressive and high-level input/output formats, (ii) easy-to-use HTML-based interfaces, (iii) knowledge sharing protocols, (iv) a merge, correction and extension of several top-level ontologies and the natural language ontology WordNet, (v) the dynamic generation and combination of forms-to-fill based on schemas associated to categories (and we have written these schemas). During the last two months, we have particularly focused on this last point, improved some parts of the code and documentation, and developped the structure for a knowledge repository on IT resources (see http://www.webkb.org/kb/it/d_IS.html). We have also integrated the DOLCE ontology (which is one of the candidate top-level ontologies for the Semantic Web) but realized it is too specific to be really usable by end-users and for restructuring a natural language ontology such as WordNet. We have begun an article on our transformation of WordNet into a genuine lexical ontology usable by knowledge-based applications, and we will submit it to WWW 2003 on November 15. The implementation of WebKB-2 began in January 2000 and hence its IP fully belongs to DSTC. WebKB-2 is now nearly mature for commercial applications and, in our opinions, the most actually usable "genuine" knowledge representation tool. We stress the word "genuine" to differentiate our approach (where the meaning of knowledge statements has to be explicit and hence can be exploited for inferencing purposes) from semi-structured semantic network approaches (e.g. "concept maps") where free text can be used, very few semantic checks are made, and hence entering information is easier but much less inferencing can be done. We have strived to developp a system permitting end-users to enter knowledge precisely/explicitly and benefit from it. Now, we may try to incorporate a less structured approach and see if this is worthwhile. This would permit to incorporate current RDF resources on the Web without having to manually correct them and fully integrate them to the existing KB but the benefit of this next step is yet unclear. The knowledge matching, retrieval and presentation mechanisms will also have to be extended. An immediate next step is to prepare a specific application to convince one or more Australian auction/advertising sites (e.g. sold.com.au or www.yellowpages.com.au) to incorporate an adapted version of WebKB-2 to their Web sites, as a complement approach to their database-based approaches.