In the last few years, several works in the literature have addressed the problem of data extraction from Web pages. The importance of this problem derives from the fact that, once extracted, the data can be handled in a way similar to instances of a traditional database. The approaches proposed in the literature to address the problem of Web data extraction use techniques borrowed from areas such as natu. ral language processing, languages and grammars, machine learning, information retrieval, databases, and ontologies. As a consequence, they present very distinct features and capabilities which make a direct comparison difficult to be done. In this paper, we propose a taxonomy for characterizing Web data extraction fools, briefly survey major Web data extraction tools described in the literature, and provide a qualitative analysis of them. Hopefully, this work will stimulate other studies aimed at a more comprehensive analysis of data extraction approaches and tools for Web data.

Name ambiguity in the context of bibliographic citation records is a hard problem that affects the quality of services and content in digital libraries and similar systems. The challenges of dealing with author name ambiguity have led to a myriad of disambiguation methods. Generally speaking, the proposed methods usually attempt to group citation records of a same author by finding some similarity among them or try to directly assign them to their respective authors. Both approaches may either exploit supervised or unsupervised techniques. In this article, we propose a taxonomy for characterizing the current author name disambiguation methods described in the literature, present a brief survey of the most representative ones and discuss several open challenges. 1 http://dblp.uni-trier.de 2 http://citeseer.ist.psu.edu 3 www.ncbi.nlm.nih.gov/pubmed 4 http://www.lbd.dcc.ufmg.br/bdbcomp 5 We use the terms "citation" and "citation record" interchangeably.

Name ambiguity in the context of bibliographic citations is a difficult problem which, despite the many efforts from the research community, still has a lot of room for improvement. In this article, we present a heuristic-based hierarchical clustering method to deal with this problem. The method successively fuses clusters of citations of similar author names based on several heuristics and similarity measures on the components of the citations (e.g., coauthor names, work title, and publication venue title). During the disambiguation task, the information about fused clusters is aggregated providing more information for the next round of fusion. In order to demonstrate the effectiveness of our method, we ran a series of experiments in two different collections extracted from real-world digital libraries and compared it, under two metrics, with four representative methods described in the literature. We present comparisons of results using each considered attribute separately (i.e., coauthor names, work title, and publication venue title) with the author name attribute and using all attributes together. These results show that our unsupervised method, when using all attributes, performs competitively against all other methods, under both metrics, loosing only in one case against a supervised method, whose result was very close to ours. Moreover, such results are achieved without the burden of any training and without using any privileged information such as knowing a priori the correct number of clusters.

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'GIB SIE WIEDER' is a series of two political compositions, dedicated to exceptional 1 performers Garth Knox (viola d'amore) and Rhodri Davies (harp). In this project the central focus is on resonance in both a musical and wider socio-cultural sense. Finding the term closely correlated to the construction of gender, I direct my inner ear to the hidden background noises of the organisation of society. As a woman and composer, I perceive aural patterns of individual and political significance. In this work my aim is to to deconstruct engrained structures of resonance and assumptions of gender, and redefine them from a personal perspective as the basis for a new compositional identity. In this article, I identify my political perspective as an artist, and describe how this affects and stimulates my creative process. I discuss the compositional approach taken in the two compositions making up 'GIB SIE WIEDER' and their public performances in 2014.

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