Search Engines & Research Tools

Magazine articles on search engines, research tools, libraries, and museums.

Old Articles: <Older 6581-6590 Newer>

D-Lib Nov/Dec 2014 Knoth et al.	Guest Editorial A significant proportion of the new approaches presented in this issue address a wide range of problems in extracting structured information, and even detailed semantics, from research papers.
D-Lib Nov/Dec 2014 Beel et al.	The Architecture and Datasets of Docear's Research Paper Recommender System In this paper, we introduce the architecture of the recommender system and four datasets.
D-Lib Nov/Dec 2014 Brook et al.	The Social, Political and Legal Aspects of Text and Data Mining There is a vast literature describing research into, and applications of text and data mining, as well as the technical challenges. Relatively little has been written on the political, social and legal barriers involved.
D-Lib Nov/Dec 2014 Fedoryszak & Bolikowski	Efficient Blocking Method for a Large Scale Citation Matching In this paper, we will focus on citation matching task, i.e. creating links between a bibliography entry and the referenced publication record in a database.
D-Lib Nov/Dec 2014 Giannakopoulos et al.	Discovering and Visualizing Interdisciplinary Content Classes in Scientific Publications In this paper, we focus on visualizing funding-specific scientific corpora in a supervised context and discovering interclass similarities which indicate the existence of inter-disciplinary research.
D-Lib Nov/Dec 2014 Holub et al.	Annota: Towards Enriching Scientific Publications with Semantics and User Annotations In this paper we present Annota -- a collaborative tool enabling the researchers to annotate and organize the scientific publications on the Web and to share them with their colleagues.
D-Lib Nov/Dec 2014 Jahja et al.	Experiments on Rating Conferences with CORE and DBLP In this paper, we present a preliminary investigation on the possibility of systematic unbiased and automatic conference rating algorithms.
D-Lib Nov/Dec 2014 Klampfl et al.	A Comparison of Two Unsupervised Table Recognition Methods from Digital Scientific Articles In this paper we present two table recognition methods based on unsupervised learning techniques and heuristics which automatically detect both the location and the structure of tables within a article stored as PDF.
D-Lib Nov/Dec 2014 Knoth & Herrmannova	Towards Semantometrics: A New Semantic Similarity Based Measure for Assessing a Research Publication's Contribution We propose Semantometrics, a new class of metrics for evaluating research.
D-Lib Nov/Dec 2014 Kristianto et al.	Extracting Textual Descriptions of Mathematical Expressions in Scientific Papers We provide guidelines for annotating and detecting natural language descriptions of mathematical expressions, enabling the semantic enrichment of mathematical information in scientific papers.
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