@inproceedings{mitzlaff2013leveraging, author = {Mitzlaff, Folke}, title = {Name Me If You Can(!) - Leveraging Networks of Given Names}, booktitle = {Proceedings from Sunbelt XXXIII}, year = {2013}, keywords = {2013, 20DC13, given, iteg, itegpub, l3s, nameling, names, sunbelt} }

%0 = inproceedings %A = Mitzlaff, Folke %B = Proceedings from Sunbelt XXXIII %D = 2013 %T = Name Me If You Can(!) - Leveraging Networks of Given Names

Onomastics is "the science or study of the origin and forms of proper names
persons or places." ["Onomastics". Merriam-Webster.com, 2013.
tp://www.merriam-webster.com (11 February 2013)]. Especially personal names
ay an important role in daily life, as all over the world future parents are
cing the task of finding a suitable given name for their child. This choice
influenced by different factors, such as the social context, language,
ltural background and, in particular, personal taste.
With the rise of the Social Web and its applications, users more and more
teract digitally and participate in the creation of heterogeneous,
stributed, collaborative data collections. These sources of data also reflect
rrent and new naming trends as well as new emerging interrelations among
mes.
The present work shows, how basic approaches from the field of social network
alysis and information retrieval can be applied for discovering relations
ong names, thus extending Onomastics by data mining techniques. The
nsidered approach starts with building co-occurrence graphs relative to data
om the Social Web, respectively for given names and city names. As a main
sult, correlations between semantically grounded similarities among names
.g., geographical distance for city names) and structural graph based
milarities are observed.
The discovered relations among given names are the foundation of "nameling"
ttp://nameling.net], a search engine and academic research platform for given
mes which attracted more than 30,000 users within four months,
derpinningthe relevance of the proposed methodology.

@misc{mitzlaff2013onomastics, author = {Mitzlaff, Folke and Stumme, Gerd}, title = {Onomastics 2.0 - The Power of Social Co-Occurrences}, year = {2013}, note = {cite arxiv:1303.0484Comment: Historically, this is the first paper on the analysis of names in the context of the name search engine 'nameling'. arXiv admin note: text overlap with arXiv:1302.4412}, url = {http://arxiv.org/abs/1303.0484}, keywords = {2013, 20DC13, iteg, itegpub, l3s, myown, nameling, names, onomastics, twitter}, abstract = {Onomastics is "the science or study of the origin and forms of proper namesof persons or places." ["Onomastics". Merriam-Webster.com, 2013.http://www.merriam-webster.com (11 February 2013)]. Especially personal namesplay an important role in daily life, as all over the world future parents arefacing the task of finding a suitable given name for their child. This choiceis influenced by different factors, such as the social context, language,cultural background and, in particular, personal taste. With the rise of the Social Web and its applications, users more and moreinteract digitally and participate in the creation of heterogeneous,distributed, collaborative data collections. These sources of data also reflectcurrent and new naming trends as well as new emerging interrelations amongnames. The present work shows, how basic approaches from the field of social networkanalysis and information retrieval can be applied for discovering relationsamong names, thus extending Onomastics by data mining techniques. Theconsidered approach starts with building co-occurrence graphs relative to datafrom the Social Web, respectively for given names and city names. As a mainresult, correlations between semantically grounded similarities among names(e.g., geographical distance for city names) and structural graph basedsimilarities are observed. The discovered relations among given names are the foundation of "nameling"[http://nameling.net], a search engine and academic research platform for givennames which attracted more than 30,000 users within four months,underpinningthe relevance of the proposed methodology.} }

%0 = misc %A = Mitzlaff, Folke and Stumme, Gerd %B = } %C = %D = 2013 %I = %T = Onomastics 2.0 - The Power of Social Co-Occurrences} %U = http://arxiv.org/abs/1303.0484

@inproceedings{mitzlaff2012namelings, author = {Mitzlaff, Folke and Stumme, Gerd}, title = {Namelings - Discover Given Name Relatedness Based on Data from the Social Web.}, editor = {Aberer, Karl and Flache, Andreas and Jager, Wander and Liu, Ling and Tang, Jie and Guéret, Christophe}, booktitle = {SocInfo}, series = {Lecture Notes in Computer Science}, publisher = {Springer}, year = {2012}, volume = {7710}, pages = {531-534}, url = {http://www.kde.cs.uni-kassel.de/pub/pdf/mitzlaff2012namelings.pdf}, isbn = {978-3-642-35385-7}, keywords = {2012, 20DC13, demo, engine, given, itegpub, l3s, myown, nameling, names, search} }

%0 = inproceedings %A = Mitzlaff, Folke and Stumme, Gerd %B = SocInfo %D = 2012 %I = Springer %T = Namelings - Discover Given Name Relatedness Based on Data from the Social Web. %U = http://www.kde.cs.uni-kassel.de/pub/pdf/mitzlaff2012namelings.pdf

@inproceedings{mitzlaff2012ranking, author = {Mitzlaff, Folke and Stumme, Gerd}, title = {Ranking Given Names}, editor = {Marathe, Madhav and Contractor, Noshir}, booktitle = {Proceedings of the 1st ASE International Conference on Social Informatics}, publisher = {IEEE computer society}, year = {2012}, pages = {185-191}, keywords = {2012, analysis, engine, given, itegpub, l3s, myown, names, ranking, serach} }

%0 = inproceedings %A = Mitzlaff, Folke and Stumme, Gerd %B = Proceedings of the 1st ASE International Conference on Social Informatics %D = 2012 %I = IEEE computer society %T = Ranking Given Names

Geographic interfaces provide natural, scalable visualizations for many digital library collections, but the wide range of data in digital libraries presents some particular problems for identifying and disambiguating place names. We describe the toponym-disambiguation system in the Perseus digital library and evaluate its performance. Name categorization varies significantly among different types of documents, but toponym disambiguation performs at a high level of precision and recall with a gazetteer an order of magnitude larger than most other applications.

@incollection{smith2001disambiguating, author = {Smith, DavidA. and Crane, Gregory}, title = {Disambiguating Geographic Names in a Historical Digital Library}, editor = {Constantopoulos, Panos and Sølvberg, IngeborgT.}, booktitle = {Research and Advanced Technology for Digital Libraries}, series = {Lecture Notes in Computer Science}, publisher = {Springer Berlin Heidelberg}, year = {2001}, volume = {2163}, pages = {127-136}, url = {http://dx.doi.org/10.1007/3-540-44796-2_12}, doi = {10.1007/3-540-44796-2_12}, isbn = {978-3-540-42537-3}, keywords = {dh, digital, disambiguating, geographic, historical, names}, abstract = {Geographic interfaces provide natural, scalable visualizations for many digital library collections, but the wide range of data in digital libraries presents some particular problems for identifying and disambiguating place names. We describe the toponym-disambiguation system in the Perseus digital library and evaluate its performance. Name categorization varies significantly among different types of documents, but toponym disambiguation performs at a high level of precision and recall with a gazetteer an order of magnitude larger than most other applications.} }

%0 = incollection %A = Smith, DavidA. and Crane, Gregory %B = Research and Advanced Technology for Digital Libraries %D = 2001 %I = Springer Berlin Heidelberg %T = Disambiguating Geographic Names in a Historical Digital Library %U = http://dx.doi.org/10.1007/3-540-44796-2_12