=Paper=
{{Paper
|id=Vol-1466/invited01
|storemode=property
|title=None
|pdfUrl=https://ceur-ws.org/Vol-1466/invited01.pdf
|volume=Vol-1466
}}
==None==
<pdf width="1500px">https://ceur-ws.org/Vol-1466/invited01.pdf</pdf>
<pre>
            User Models as Personal Ontologies

                                     Gabriella Pasi

  Laboratorio di Information Retrieval – Università degli Studi di Milano Bicocca,
                                   Milano, Italia

Abstract. The problem of defining user profiles has been a research issue since a long
time; user profiles are employed in a variety of applications, including Information Fil-
tering and Information Retrieval. In particular, considering the Information Retrieval
task, user profiles are functional to the definition of approaches to Personalized search,
which is aimed at tailoring the search outcome to users. In this context the quality of
a user profile is clearly related to the effectiveness of the proposed personalized search
solutions. A user profile represents the user interests and preferences; these can be
captured either explicitly or implicitly. User profiles may be formally represented as
bags of words, as vectors of words or concepts, or still as conceptual taxonomies. More
recent approaches are aimed at formally representing user profiles as ontologies, thus
allowing a richer, more structured and more expressive representation of the knowledge
about the user.
This talk will address the issue of the automatic definition of personal ontologies, i.e.
user-related ontologies. In particular, a method that applies a knowledge extraction
process from the general purpose ontology YAGO will be described. Such a process is
activated by a set of texts (or just a set of words) representatives of the user interests,
and it is aimed to define a structured and semantically coherent representation of the
user topical preferences. The issue of the evaluation of the generated representation
will be discussed too.

</pre>