BibSLEIGH corpus
BibSLEIGH tags
BibSLEIGH bundles
BibSLEIGH people
Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
email twitter
Travelled to:
1 × Italy
1 × Portugal
1 × Spain
1 × Switzerland
1 × Taiwan
Collaborated with:
F.Frasincar D.Vandic U.Kaymak M.Capelle A.Hogenboom W.Hop S.d.Ridder J.v.Dam M.Moerland A.Verheij A.Kleijn J.v.d.Meer F.Boon K.Schouten P.Ruijgrok J.Borsje L.Levering
Talks about:
semant (4) news (4) approach (3) use (3) recommend (2) framework (2) bing (2) base (2) web (2) vocabulari (1)

Person: Frederik Hogenboom

DBLP DBLP: Hogenboom:Frederik

Contributed to:

SAC 20152015
SAC 20132013
SAC 20122012
SAC 20112011
SAC 20102010

Wrote 8 papers:

SAC-2015-CapelleMHFV #hybrid #recommendation #semantics
Bing-SF-IDF+: a hybrid semantics-driven news recommender (MC, MM, FH, FF, DV), pp. 732–739.
SAC-2013-CapelleHHF #recommendation #semantics #using
Semantic news recommendation using wordnet and bing similarities (MC, FH, AH, FF), pp. 296–302.
SAC-2012-HopRFH #ontology #using #visualisation
Using Hierarchical Edge Bundles to visualize complex ontologies in GLOW (WH, SdR, FF, FH), pp. 304–311.
SAC-2012-VerheijKFVH #framework #query #ranking
Querying and ranking news items in the hermes framework (AV, AK, FF, DV, FH), pp. 672–679.
SAC-2011-MeerBHFK #automation #framework #using #web
A framework for automatic annotation of web pages using the Google rich snippets vocabulary (JvdM, FB, FH, FF, UK), pp. 765–772.
SAC-2011-VandicDHF #approach #clustering #semantics
A semantic clustering-based approach for searching and browsing tag spaces (DV, JWvD, FH, FF), pp. 1693–1699.
SAC-2010-HogenboomFK #overview #owl #representation
A review of approaches for representing RCC8 in OWL (FH, FF, UK), pp. 1444–1445.
SAC-2010-SchoutenRBFLH #approach #personalisation #semantics
A semantic web-based approach for personalizing news (KS, PR, JB, FF, LL, FH), pp. 854–861.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.