Semantic Problems of Thesaurus Mapping | Doerr. 1 Introduction Terminological resources are increasingly important for information retrieval in wide area networks, for retrieving documents by querying databases and metadata employing controlled vocabularies. In particular, thesauri which organize terms and associated concepts in the form of simple semantic networks become important tools for searching through the rapidly growing electronic information flood.
There is growing interest in developing automated intermediaries to negotiate the differences between controlled vocabulary schemes so that a user can use a familiar set of terms to search collections using other vocabulary schemes. The paper discusses the effect of thesaurus mapping on the vagueness in retrieval from a theoretical and logical point of view, separate from the effects of the relation of the thesaurus to the collection it addresses. Therefore, it makes ideal assumptions for the latter without going into any detail. 1.1 Related Work 1.3 Thesaurus Mapping in One Domain. Zero News Datapool, Hakim Bey, The Temporary Autonomous Zone. Ontology is Overrated -- Categories, Links, and Tags. Ontology is Overrated: Categories, Links, and Tags This piece is based on two talks I gave in the spring of 2005 -- one at the O'Reilly ETech conference in March, entitled "Ontology Is Overrated", and one at the IMCExpo in April entitled "Folksonomies & Tags: The rise of user-developed classification.
" The written version is a heavily edited concatenation of those two talks. Today I want to talk about categorization, and I want to convince you that a lot of what we think we know about categorization is wrong. In particular, I want to convince you that many of the ways we're attempting to apply categorization to the electronic world are actually a bad fit, because we've adopted habits of mind that are left over from earlier strategies. I also want to convince you that what we're seeing when we see the Web is actually a radical break with previous categorization strategies, rather than an extension of them.
PART I: Classification and Its Discontents # Q: What is Ontology? And yet. Domain. Hakim Bey and Ontological Anarchy. Cogito » Blog Archive » The Ontology Myth. For the past year, I have been observing a phenomenon in the US market, that of the spread of the ‘myth’ of ontology. Ontologies are important elements for understanding text through semantic analysis, but they are insufficient (and, often, not even necessary) to resolve the problem of how to handle unstructured knowledge. Nonetheless, according to this ‘idea,’ they say that if you have a complete ontology, you don’t need anything else. Instead, semantic technology should be able to do it all automatically (for example, the typical activities correlated to knowledge management activities such as automatic categorization and discovery of knowledge and relationships between data).
This assumption lacks substance, and even if I understand the reasons why this idea has spread (in the end, we are all always searching for fast and automatic solutions) it is important to explain the reality (which is completely different from the utopic view that some would have you believe). 0Share.