Personalization on the Net using Web mining: introduction
Communications of the ACM
Authoring and annotation of web pages in CREAM
Proceedings of the 11th international conference on World Wide Web
Creating Semantic Web Contents with Protégé-2000
IEEE Intelligent Systems
SemTag and seeker: bootstrapping the semantic web via automated semantic annotation
WWW '03 Proceedings of the 12th international conference on World Wide Web
WWW '03 Proceedings of the 12th international conference on World Wide Web
Looking at the Web through XML Glasses
COOPIS '99 Proceedings of the Fourth IECIS International Conference on Cooperative Information Systems
Bridging the WWW to the Semantic Web by Automatic Semantic Tagging of Web Pages
CIT '05 Proceedings of the The Fifth International Conference on Computer and Information Technology
P-TAG: large scale automatic generation of personalized annotation tags for the web
Proceedings of the 16th international conference on World Wide Web
Semantically enhanced user modeling
Proceedings of the 2007 ACM symposium on Applied computing
Kalpana - enabling client-side web personalization
Proceedings of the nineteenth ACM conference on Hypertext and hypermedia
User models for adaptive hypermedia and adaptive educational systems
The adaptive web
An evolutionary approach to ontology-based user model acquisition
WILF'03 Proceedings of the 5th international conference on Fuzzy Logic and Applications
Fuzzy user modeling for adaptation in educational hypermedia
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
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In order to efficiently use information, users often need access to additional background information. This additional information might be stored at various places, such as news websites, company directories, geographic information systems, etc. Oftentimes, in order to access these different pieces of information, the user has to launch new browser windows and direct them to appropriate resources. In our today's Web 2.0, the problem of accessing background information becomes even more prominent: Due to the large number of different users contributing, Web 2.0 sites grow quickly and, most often, in a more uncoordinated way regarding, e.g., structure and vocabulary used, than centrally controlled sites. In such an environment, finding relevant information can become a tedious task. In this paper, we propose a framework allowing for automated, user-specific annotation of content in order to enable provisioning of related information. Making use of unstructured data analysis services like UIMA or Calais, we are able to identify certain types of entities like locations, persons, etc. These entities are wrapped into semantic tags that contain machine-readable information about the entity type. The entity types are associated with applications able to provide background information or related content. A location, e.g., could be associated with Google Maps, whereas a person could be associated with the company's employee directory. However, it strongly depends on the individual user's interests and experience which additional information he deems relevant. We therefore tailor the information provided based on the User Model, which reflects the user's interests and expertise. This allows providing the user with in-place, in-context background information on those entities he is likely to be interested in as well as with recommendations to related content for those entities. It also relieves users from the tedious task of manually collecting relevant additional information. Our main concepts have been prototypically embedded within IBM's WebSphere Portal.