Mirco Speretta

• Fairfield University

Classification systems for research publications are often based on taxonomies. The ACM society for computing and professionals provides a digital library whose cataloguing system is based on a taxonomy that has been continuously updated over the years. The CiteSeer collection contains a large collection of computer science research papers, many of...

An important task of ontology learning is to enrich the vocabulary for domain ontologies using different sources of information. WordNet, an online lexical database covering many domains, has been widely used as a source from which to mine new vocabulary for ontology enrichment. However, since each word submitted to WordNet may have several differe...

One common way for users to organize personal interests is to categorize information by topics. Each area of interest could be represented either by a simple concept label or by more complex information structures that include concepts linked to each other by user defined relationships. We believe that this type of information structure could be ea...

Users organize personal information in various ways. We believe that this process could be expedited and improved by using domain ontologies. The main problem with this idea is the lack of automatic tools that help non-expert users to build and maintain their own ontologies. In this study we report progress in the process of adapting ontologies to...

The ACM society for computing and professionals provides a digital library whose Computer Classification System (CCS) is based on a taxonomy that has been continuously updated over the years. The CiteSeer digital library contains a large collection of computer science research papers, many of which are tagged with categories from the CCS taxonomy....

The Web is quickly moving from the era of search engines to the era of discovery engines. Whereas search engines help you find information you are looking for, discovery engines help you find things that you never knew existed. A common discovery technique is to automatically identify and display objects similar to ones previously viewed by the use...

The increasing interest in the Semantic Web is producing a growing number of publicly available domain ontologies. These ontologies are a rich source of information that could be very helpful during the process of engineering other domain ontologies. We present an automatic technique that, given a set of Web documents, selects appropriate domain on...

The increasing interest in the Semantic Web is producing a growing number of publicly available domain ontologies. These ontologies are a rich source of information that could be very helpful during the process of engineering other domain ontologies. We present an automatic technique that, given a set of Web documents, selects appropriate domain on...

The amount of information available online is increasing exponentially. While this information is a valuable resource, its sheer volume limits its value. Many research projects and companies are exploring the use of personalized applications that manage this deluge by tailoring the information presented to individual users. These applications all n...

As the number of Internet users and the number of accessible Web pages grows, it is becoming increasingly difficult for users to find documents that are relevant to their particular needs. Users who submit a query to a publicly available search engine must wade through hundreds of results, most of them irrelevant. The core of the problem is that, w...

User profiles, descriptions of user interests, can be used by search engines to provide personalized search results. Many approaches to creating user profiles collect user information through proxy servers (to capture browsing histories) or desktop bots (to capture activities on a personal computer). Both these techniques require participation of t...

User profiles, descriptions of use interests, can be used by search engines to provide personalized search results. Many approaches to creating user profiles collect user information through proxy servers (to capture browsing histories) or desktop bots (to capture activities on a personal computer). Both these techniques require participation of th...

Abstract User proles, descriptions of user interests, can be used by search engines to provide personalized,search results. Many approaches,to creating user proles collect user information,through,proxy servers (to capture browsing,histories) or desktop,bots (to capture activities on a personal computer). Both these tech- niques require participati...