@article {231,
	title = {Rule based autonomous citation mining with tierl},
	journal = {Journal of Digital Information Management},
	volume = {8},
	year = {2010},
	note = {Cited By (since 1996):9Export Date: 10 July 2014},
	month = {2010},
	pages = {196 - 204},
	abstract = {Citations management is an important task in managing digital libraries. Citations provide valuable information e.g., used in evaluating an author{\textquoteright}s influences or scholarly quality (the impact factor of research journals). But although a reliable and effective autonomous citation management is essential, manual citation management can be extremely costly. Automatic citation mining on the other hand is a non-trivial task mainly due to non-conforming citation styles, spelling errors and the difficulty of reliably extracting text from PDF documents. In this paper we propose a novel rule-based autonomous citation mining technique, to address this important task. We define a set of common heuristics that together allow to improve the state of the art in automatic citation mining. Moreover, by first disambiguating citations based on venues, our technique significantly enhances the correct discovery of citations. Our experiments show that the proposed approach is indeed able to overcome limitations of current leading citation indexes such as ISI Web of Knowledge, Citeseer and Google Scholar.},
	keywords = {Citation index, Citation mining, Digital libraries, Information extraction},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-79951786283\&partnerID=40\&md5=4fbea6129a6c4c727c3c0618ccbe6087},
	author = {Afzal, M.T. and Maurer, H. and Balke, W.-T. and Kulathuramaiyer, N.}
}
@article {118,
	title = {Web information extraction using web-specific features},
	journal = {Journal of Digital Information Management},
	volume = {6},
	year = {2008},
	note = {Cited By (since 1996):1Export Date: 10 July 2014},
	month = {2008},
	pages = {235 - 243},
	abstract = {Several problems exist with traditional HMM based approaches for Web information extraction (IE) due to the lack of consideration on Web-specific features. To address this Issue we present a Generalized Hidden Markov Model (GHMM) that extends HMMs by making use of Web-specific Information for Web IE. In GHMMbased approach, Web content blocks instead of terms are used as basic extraction unit. Besides, instead of using the traditional sequential state transition order, GHMM decides the state transition order based on layout structure of the corresponding web page. Furthermore, GHMM uses multiple emission features derived from Web information instead of single emission feature. Experimental study shows that GHMM based approach can effectively improve Web IE comparing to traditional HMM based approaches.},
	keywords = {Hidden, Information extraction, Markov model},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-70350728184\&partnerID=40\&md5=f0b7ac3e808f4c890768399e96e15bca},
	author = {Chen, J. and Zhong, P.}
}
@article {35,
	title = {The designing of web services to deliver web documents associated with historical links},
	journal = {Journal of Digital Information Management},
	volume = {4},
	year = {2006},
	note = {Export Date: 10 July 2014},
	month = {2006},
	pages = {11 - 15},
	abstract = {The historical links of a web site include the URLs invalidated due to web site reorganization, document removal, renaming or relocation, or links to document snapshots, which are defined as the document{\textquoteright}s contents as of a specific point in time. Tracking historical links will allow users to use out-of-date URLs, retrieve removed documents and document snapshots. This paper presents a logging and archiving scheme to track a source document{\textquoteright}s history of changes, and designs web services to deliver the source document associated with a historical link.},
	keywords = {Concept mapping, Hyper space, Information extraction, Knowledge discovery, Semantic web, Web knowledge discovery, Web navigation},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-33748275472\&partnerID=40\&md5=8f950d21d3b688c9a0c1bb1159d7a54d},
	author = {Chao, D. and Gill, S.}
}
@article {24,
	title = {HyperMap: A system to map the web},
	journal = {Journal of Digital Information Management},
	volume = {4},
	year = {2006},
	note = {Export Date: 10 July 2014},
	month = {2006},
	pages = {4 - 10},
	abstract = {This paper presents the HyperMap system which dynamically structures information on the Web. The system is based on a framework resulting from multidisciplinary research, which is briefly discussed. This paper focuses work done to develop a new generation of computational tools able to support the extraction and the discovery of useful information on the Web, becoming agents of innovation and development.},
	keywords = {Concept mapping, Hyper space, Information extraction, Knowledge discovery, Semantic web, Web knowledge discovery, Web navigation},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-33748283744\&partnerID=40\&md5=0ae6894b5de7bbb54ba63e4ce6b1f95c},
	author = {Ralha, C.G. and Ralha, J.C.L.}
}
