comparison musicweb.tex @ 17:e0906a511be2

intro to similarity and notes

 
 \section{MusicWeb architecture}
 
 % MusicWeb provides a browsing experience using connections that are either extra-musical or tangential to music, such as the artists' political affiliation or social influence, or intra-musical, such as the artists' main instrument or most favoured musical key. The platform integrates open linked semantic metadata from various Semantic Web, music recommendation and social media data sources as well as content-derived information. The front portal includes suggested links to selected artists and a search functionality from where users can navigate to individual artists pages. Each artist page contains a biography and links to online audio and a video resources. Connections are made using YAGO categories linking artist by various commonalities such as style, geographical location, instrumentation, record label as well as more obscure categories, for instance, artists who have received the same award, have shared the same fate, or belonged to the same organisation or religion. These connections are further enhanced by thematic analysis of journal articles and blog posts as well as content-based similarity measures focussing on high level musical categories.
 
-MusicWeb is a web application which offers users the possibility of exploring and finding connections between different artists. It does this by pulling data from several different web knowledge content resources and presenting them for the user to navigate in a faceted manner\cite{Marchioni2006}. The listener can begin his journey by choosing or searching for an artist (fig. \ref{fig:front_page}). The application offers youtube videos, audio streams, photographs and album covers, as well as the artist's biography (fig. \ref{fig:ella_page}) The page also includes many box widgets with links to artists who are related to the current artist in different, and sometimes unexpected and surprising ways\ref{fig:ella_links}). The user can then click on any of these artists and the search commences again, exploring a web of artists further and further.
+MusicWeb provides a browsing experience using connections that are either extra-musical or tangential to music, such as the artists' political affiliation or social influence, or intra-musical, such as the artists' main instrument or most favoured musical keys. It does this by pulling data from several different web knowledge content resources and presenting them for the user to navigate in a faceted manner\cite{Marchioni2006}. The listener can begin his journey by choosing or searching for an artist (fig. \ref{fig:front_page}). The application offers youtube videos, audio streams, photographs and album covers, as well as the artist's biography (fig. \ref{fig:ella_page}) The page also includes many box widgets with links to artists who are related to the current artist in different, and sometimes unexpected and surprising ways\ref{fig:ella_links}). The user can then click on any of these artists and the search commences again, exploring a web of artists further and further.
 
 \begin{figure}
   \centering
 %%     \begin{minipage}[b]{.48\textwidth}
 %%   \includegraphics[height=8cm]{graphics/front_page.png}

 %% - Architecture (with a nice diagram) [Alo, can you make this in Omnigraffle? I can then adjust/refine]
 %% - More details about individual components we use (Yago, musicbrainz, sameas, dbpedia etc.)
 %% - Brief intro to components we developed for artist similarity (just to bridge to Section 4)
 
 \section{Artist similarity}
-
-\begin{enumerate}
-\item Socio-cultural linkage (using linked data)
-\item Artist similarity by NLP [needs a better subtitle] : MUSIC (picture of interface)
+%% 4. Artist similarity 
+%% 4.1 Socio-cultiral linkage (using linked data)
+%% 4.2 Artist similarity by NLP [needs a better subtitle]
+%% 4.3 Artist similarity by features [i can write this part]
+Music does not lend itself easily to categorisation. There are many ways in which artist can be, and in fact are, considered to be related. Similarity may refer to whether artists' songs sound similar, or are considered to be in the same style or genre. But it may also mean that they are followed by people from similar social backgrounds or political inclinations, or similar ages; or perhaps they are similar because they have played together, or participated in the same event, or their songs touch on similar themes. Linked data facilitates faceted searching and displaying of information\cite{Oren2006}: an artist may be similar to many other artists in one of the ways just mentioned, and to a completely different plethora of artists in other senses, all of which might contribute to music discovery. Semantic web technologies can help us gather different facets of data and shape them into representations of knowledge. MusicWeb does this by searching similarities in three different domains: socio-cultural, research and journalistic literature and content-based linkage.
+\subsection{Socio-cultural linkage}
+NOTE: not sure about this. Do we consider the dbpedia queries to be socio-cultural? or the collaborates-with in musicbrainz?
+
+\subsection{Similarity in the literature}
 
 \begin{itemize}
 \item Semantic analysis\cite{Landauer1998}
 \item Topic modeling\cite{Blei2012}
 \item Entity recognition
 \item Hierarchical bayesian modeling
 \item Authors, journals, keywords, tags
 
 \end{itemize}
 
-\item Artist similarity by features [i can write this part]
-\end{enumerate}
-
-\section{Content-based information retrieval}\label{sec:mir}
+
+\subsection{Content-based information retrieval}\label{sec:mir}
 
 \section{Discussion}\label{sec:discussion}
 
 \section{Conclusions}\label{sec:conclusions}
 

 		\newblock The music ontology.
 		\newblock In {\em Proceedings of the 8th International Conference on Music
 			Information Retrieval, ISMIR 2007, Vienna, Austria, September 23-27}, 2007.
 
 		\bibitem{Suchanek:WWW:2007}
-		F.~Suchanek, G.~Kasneci, and G.~Weikum.
+		F.~Suchanek, G.~Kasneci, and G.~Weikum
 		\newblock YAGO: A Core of Semantic Knowledge Unifying WordNet and Wikipedia.
 		\newblock In {\em Proceedings of the 16th international World Wide Web conference, May 8–12, 2007, Banff, Alberta, Canada.}, 2007.
 
+              \bibitem{Oren2006}
+                E.~Oren, R.~ Delbru, and S.~Decker
+                \newblock Extending faceted navigation for rdf data.
+                \newblock In {\em ISWC, 559–572}, 2006
               \bibitem{Landauer1998}
                   T.~Landauer, P.~Folt, and D.~Laham.
                  \newblock An introduction to latent semantic analysis
                  \newblock In {\em Discourse processes, 25}, 1998