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246 Selected Studies on Software and Information Systems
word distribution metrics. Then a probabilistic information extraction model is employed to
find contact information and person names in the homepages. Newly extracted people who
are coreferent to already discovered people are determined. Links are placed in the social
network between a discovered person and the owner of the web page on which the person
was discovered. The extraction was done using conditional random fields.
E-mail
Web
Keyword
extraction
Person name
extraction
Name
coreference
Homepage
retrieval
Contact
Information and
person name
Extraction
names
Social Network
Analysis
Figure 8-11. Overview of a system performing social network extraction, according to [20].
The approach suffers from names and web appearance ambiguity problems. In some cases, it
can recursively extract social network of a namesake of people from original social network.
This issue can be fixed as shown in [7].
References
[1] Agichtein, E.: Web Information Extraction and User Modeling: Towards Closing the
Gap. IEEE Data Eng. Bull., 2006, vol. 29, no. 4, pp. 37–44.
[2] Andrejko, A., Barla, M., Bieliková, M.: Chap. Ontology-based User Modeling for Webbased
Information Systems. In: Advances in Information Systems Development. Springer,
2007, pp. 457–468.
[3] Atzenbeck, C., Tzagarakis, M.: Criteria for Social Applications. In Vassileva, J., Tzagarakis,
M., Dimitrova, V., eds.: Socium: Adaptation and Personalisation in Social Systems:
Groups, Teams, Communities. Workshop held at UM 2007, 2007, pp. 45–49.
[4] Barla, M.: Interception of User⁄s Interests on the Web. In Wade, V., Ashman, H.,
Smyth, B., eds.: Adaptive Hypermedia and Adaptive Web-Based Systems, AH’06. LNCS
4018, Dublin, Ireland, Springer, 2006, pp. 435–439.
[5] Barla, M., Andrejko, A., Bieliková, M., Tvarožek, M.: User Characteristics Acquisition
from Logs with Semantics. In Kelemenová, A., Kolář, D., Meduna, A., Zendulka, J.,
eds.: ISIM ´07: Information Systems and Formal Models, Slezská universita v Opavě, 2007,
pp. 103–110.