@inproceedings{775214, title = {On deep annotation}, address = {New York, NY, USA}, author = {Siegfried Handschuh and Steffen Staab and Raphael Volz}, booktitle = {WWW '03: Proceedings of the 12th international conference on World Wide Web}, pages = {431--438}, publisher = {ACM}, year = 2003, url = {http://portal.acm.org/citation.cfm?id=775214}, location = {Budapest, Hungary}, isbn = {1-58113-680-3}, doi = {http://doi.acm.org/10.1145/775152.775214}, description = {On deep annotation}, abstract = {The success of the Semantic Web crucially depends on the easy creation, integration and use of semantic data. For this purpose, we consider an integration scenario that defies core assumptions of current metadata construction methods. We describe a framework of metadata creation when web pages are generated from a database and the database owner is cooperatively participating in the Semantic Web. This leads us to the definition of ontology mapping rules by manual semantic annotation and the usage of the mapping rules and of web services for semantic queries. In order to create metadata, the framework combines the presentation layer with the data description layer -- in contrast to "conventional" annotation, which remains at the presentation layer. Therefore, we refer to the framework as deep annotation 1.We consider deep annotation as particularly valid because, (i), web pages generated from databases outnumber static web pages, (ii), annotation of web pages may be a very intuitive way to create semantic data from a database and, (iii), data from databases should not be materialized as RDF files, it should remain where it can be handled most efficiently -- in its databases.}, biburl = {http://www.bibsonomy.org/bibtex/209d6935c4d9c77fc396b8f76ced2cb4e/wnpxrz}, keywords = {imported semanticweb annotation} } @inproceedings{Shevade:2005, title = {A Collaborative Annotation Framework}, author = {B. Shevade and H. Sundaram}, booktitle = {Multimedia and Expo, 2005. ICME 2005. IEEE International Conference on}, pages = {1346-1349}, year = 2005, url = {http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=1521679}, isbn = {0-7803-9331-7}, doi = {10.1109/ICME.2005.1521679}, description = {Welcome to IEEE Xplore 2.0: A Collaborative Annotation Framework}, abstract = {This paper describes our system that enables members of a social network to collaboratively annotate a shared media collection. The problem is important since online social networks are emerging as conduits for exchange of everyday experiences. Our collaborative annotation system provides personalized recommendations to each user, based on (a) media features, (b) context, (c) commonsensical relationships and (d) linguistic relationships. We also develop novel concept specificity and abstractness/concreteness measures that further adapt the recommendations to the specific concept. Our preliminary user studies indicate that the system performs well and is more useful as compared to standard Web browser recommendation schemes}, biburl = {http://www.bibsonomy.org/bibtex/27fdfd54861d35cf87a7491b9a15083d1/wnpxrz}, keywords = {collaborative imported web proj:bk proj:gtf annotation} } @inproceedings{Shevade:2005, title = {A Collaborative Annotation Framework}, author = {B. Shevade and H. Sundaram and Min Yen-Kan}, booktitle = {Multimedia and Expo, 2005. ICME 2005. IEEE International Conference on}, pages = {1346- 1349}, year = 2005, url = {http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=1521679}, isbn = {0-7803-9331-7}, doi = {10.1109/ICME.2005.1521679}, description = {Welcome to IEEE Xplore 2.0: A Collaborative Annotation Framework}, abstract = {This paper describes our system that enables members of a social network to collaboratively annotate a shared media collection. The problem is important since online social networks are emerging as conduits for exchange of everyday experiences. Our collaborative annotation system provides personalized recommendations to each user, based on (a) media features, (b) context, (c) commonsensical relationships and (d) linguistic relationships. We also develop novel concept specificity and abstractness/concreteness measures that further adapt the recommendations to the specific concept. Our preliminary user studies indicate that the system performs well and is more useful as compared to standard web browser recommendation schemes.}, biburl = {http://www.bibsonomy.org/bibtex/27a8612a5770d8b814ff52fa83f4730cf/wnpxrz}, keywords = {collaborative imported annotation framework} } @inproceedings{citeulike:235722, title = {Annotea: an open RDF infrastructure for shared Web annotations}, address = {New York, NY, USA}, author = {Jos\&\#233; Kahan and Marja-Ritta Koivunen}, booktitle = {WWW '01: Proceedings of the 10th international conference on World Wide Web}, pages = {623--632}, publisher = {ACM Press}, year = 2001, url = {http://portal.acm.org/citation.cfm?id=372166}, id = {235722}, priority = {2}, isbn = {1581133480}, doi = {10.1145/371920.372166}, biburl = {http://www.bibsonomy.org/bibtex/23eb3c7921bbff01e89468554c6df577e/wnpxrz}, keywords = {web annotation} } @inproceedings{conf/ijcai/HandschuhSVM03, title = {Deep Annotation for Information Integration.}, author = {Siegfried Handschuh and Steffen Staab and Raphael Volz and Leo Meyer}, booktitle = {IIWeb}, crossref = {conf/ijcai/2003iiweb}, editor = {Subbarao Kambhampati and Craig A. Knoblock}, pages = {105-110}, year = 2003, url = {http://dblp.uni-trier.de/db/conf/ijcai/ijcai2003iiweb.html#HandschuhSVM03}, ee = {http://www.isi.edu/info-agents/workshops/ijcai03/papers/Handschuh.pdf}, date = {2004-07-21}, description = {dblp}, biburl = {http://www.bibsonomy.org/bibtex/2f3da3fa8e40ab40e22b6a873997231a9/wnpxrz}, keywords = {annotation dataintegration} } @inproceedings{bao2007, title = {Optimizing Web Search Using Social Annotations}, author = {S. Bao and X. Wu and B. Fei and G.-R. Xue and Z. Su and Y. Yu}, booktitle = {Proceedings of the 16th International World Wide Web Conference}, year = 2007, biburl = {http://www.bibsonomy.org/bibtex/275e30fb4fe95ccb6a4d8cb3680e591a8/wnpxrz}, keywords = {social annotation search ir} } @inproceedings{1135839, title = {Exploring social annotations for the semantic web}, address = {New York, NY, USA}, author = {Xian Wu and Lei Zhang and Yong Yu}, booktitle = {WWW '06: Proceedings of the 15th international conference on World Wide Web}, pages = {417--426}, publisher = {ACM Press}, year = 2006, url = {http://portal.acm.org/citation.cfm?id=1135777.1135839}, location = {Edinburgh, Scotland}, isbn = {1-59593-323-9}, doi = {http://doi.acm.org/10.1145/1135777.1135839}, description = {Exploring social annotations for the semantic web}, abstract = {In order to obtain a machine understandable semantics for web resources, research on the Semantic Web tries to annotate web resources with concepts and relations from explicitly defined formal ontologies. This kind of formal annotation is usually done manually or semi-automatically. In this paper, we explore a complement approach that focuses on the "social annotations of the web" which are annotations manually made by normal web users without a pre-defined formal ontology. Compared to the formal annotations, although social annotations are coarse-grained, informal and vague, they are also more accessible to more people and better reflect the web resources' meaning from the users' point of views during their actual usage of the web resources. Using a social bookmark service as an example, we show how emergent semantics [2] can be statistically derived from the social annotations. Furthermore, we apply the derived emergent semantics to discover and search shared web bookmarks. The initial evaluation on our implementation shows that our method can effectively discover semantically related web bookmarks that current social bookmark service can not discover easily.}, biburl = {http://www.bibsonomy.org/bibtex/22ff38a7f8e9e3941d0598877fe964eb5/wnpxrz}, keywords = {social annotation imported semanticweb} } @inproceedings{Bao_2007, title = {Optimizing web search using social annotations}, address = {New York, NY, USA}, author = {Shenghua Bao and Guirong Xue and Xiaoyuan Wu and Yong Yu and Ben Fei and Zhong Su}, booktitle = {WWW '07: Proceedings of the 16th international conference on World Wide Web}, publisher = {ACM Press}, year = 2007, comment = {Models for search using social annotations: similarity ranking (tags as summaries of documents) and static ranking (number of annotations). Use delicious and ODP data.}, abstract = {This paper explores the use of social annotations to improve web search. Nowadays, many services, e.g. del.icio.us, have been developed for web users to organize and share their favorite web pages on line by using social annotations. We observe that the social annotations can benefit web search in two aspects: 1) the annotations are usually good summaries of corresponding web pages; 2) the count of annotations indicates the popularity of web pages. Two novel algorithms are proposed to incorporate the above information into page ranking: 1) SocialSimRank (SSR) calculates the similarity between social annotations and web queries; 2) SocialPageRank (SPR) captures the popularity of web pages. Preliminary experimental results show that SSR can find the latent semantic association between queries and annotations, while SPR successfully measures the quality (popularity) of a web page from the web users’ perspective. We further evaluate the proposed methods empirically with 50 manually constructed queries and 3000 auto-generated queries on a dataset crawled from del.icio.us. Experiments show that both SSR and SPR benefit web search significantly.}, biburl = {http://www.bibsonomy.org/bibtex/2b9966b9df0199a0b7b2d5a1b0d7560cb/wnpxrz}, keywords = {web search social annotation collaborative tagging ir} }