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Pattern based browsing in document collections [chapter]

Ronen Feldman, Willi Klösgen, Yaniv Ben-Yehuda, Gil Kedar, Vladimir Reznikov
1997 Lecture Notes in Computer Science  
We present Document Explorer, a data mining system searching for patterns in document collections. These patterns provide knowledge on the application domain that is represented by the collection.  ...  A pattern can also be seen as a query that retrieves a set of documents. Thus the data mining tools can be used to identify interesting queries which can be used to browse the collection.  ...  Additionally, they supply new browsing possibilities, because inter-document information is contained in the patterns.  ... 
doi:10.1007/3-540-63223-9_111 fatcat:rxkij37a4jeyldub6ldrvqllee

Browsing Hierarchy Construction by Minimum Evolution

Hui Yang
2015 ACM Transactions on Information Systems  
Hierarchies serve as browsing tools to access information in document collections.  ...  The proposed algorithm is not constrained to a given type of collection. It can be applied either to an entire document collection, or to just a number of documents that show up in search results.  ...  Jamie Callan for in-depth discussions and editors and anonymous reviewers for their valuable comments.  ... 
doi:10.1145/2714574 fatcat:yveksypedjht3hdrjyiljkq434

Adding SOMLib Capabilities to the Greenstone Digital Library System [chapter]

Rudolf Mayer, Andreas Rauber
2006 Lecture Notes in Computer Science  
The SOMLib system, which is based on using Self-Organizing Maps (SOMs), has been used to automatically organize documents of a digital library by their content.  ...  In this paper, we present an integration of this system into the popular open-source digital library system Greenstone, combining searching and explorative browsing through the thematically organized content  ...  Browsing: Browsing offers an (ordered) list of the documents in the collection, built on meta-data.  ... 
doi:10.1007/11931584_54 fatcat:zvwmoxai2bgi5nwqe7tu7ntpyi

Find-similar

Mark D. Smucker, James Allan
2006 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '06  
Our investigation focused on find-similar's document-to-document similarity, the reexamination of documents during a search, and the user's browsing pattern.  ...  Find-similar with a query-biased similarity, avoiding the reexamination of documents, and a breadth-like browsing pattern achieved a 23% increase in the arithmetic mean average precision and a 66% increase  ...  In many systems, users can browse documents via hyperlinks. If a collection lacks hyperlinks, they can be automatically generated [2] .  ... 
doi:10.1145/1148170.1148250 dblp:conf/sigir/SmuckerA06 fatcat:i2sfyqkptrgzphsznpkienewci

Language preference in a bi-language digital library

Te Taka Keegan, Sally Jo Cunningham
2005 Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries - JCDL '05  
The majority of collection documents are in Māori, and the interface is available in both Māori and English.  ...  This paper examines user choice of interface language in a bilanguage digital library (English and Māori, the language of the indigenous people of New Zealand).  ...  INTRODUCTION As digital libraries increase in number, content, and potential user base, interest has grown in 'multilingual' or 'multi-language' collections-that is, digital libraries in which the collection  ... 
doi:10.1145/1065385.1065427 dblp:conf/jcdl/KeeganC05 fatcat:nhym5ncx3bexpmuyueadl6f5aa

Browsing by phrases

Anselmo Peñas, Julio Gonzalo, Felisa Verdejo
2001 Proceedings of the first ACM/IEEE-CS joint conference on Digital libraries - JCDL '01  
This paper present an interactive search engine (Website Term Browser) which makes use of phrasal information to process queries and suggest relevant topics in a fully multilingual setting.  ...  The detection of the phrases in the collection is based on syntactic patterns (figure 1) applied over the tagged documents.  ...  Browsing by phrases. The next sections explain each part of the system in greater detail. TERMINOLOGY-BASED INDEXING The collection is processed to obtain a large list of terminological phrases.  ... 
doi:10.1145/379437.379670 dblp:conf/jcdl/PenasGV01 fatcat:5icy7ffvpngaffinaari4ayd4y

On using data mining for browsing log analysis in learning environments [chapter]

F. Wang
2006 Data Mining in E-Learning  
The effectiveness of these methods is investigated on a real database collected from web-based courses.  ...  For example, teachers can investigate the model to identify some interesting or unexpected learning patterns in student's browsing behavior, which might therefore provide knowledge for teachers to reorganize  ...  Specifically, a set of browsing models to describe useful browsing patterns are proposed, and analysis tools based on web mining technique [12] to discover those patterns from the historical browsing  ... 
doi:10.2495/1-84564-152-3/04 fatcat:rbmr3w3uyncppg23b7kapbdm6u

Page 8 of Electronic Publishing Vol. 4, Issue 2 [page]

1991 Electronic Publishing  
Moreover, such a hypertext provides a group intellect— a collective information consciousness—for its reader base.  ...  In hyperdocuments, the browsing semantics of the author’s intent make the interaction inherent in browsing the primary manner of information presentation.  ... 

Discovery of aggregate usage profiles based on clustering information needs

Azreen Azman, Iadh Ounis
2004 Proceedings of the 27th annual international conference on Research and development in information retrieval - SIGIR '04  
Information need is inferred from each browsing path by using the Ostensive Model[1]. The technique is evaluated in a document recommendation application.  ...  The technique is based on clustering information needs inferred from users' browsing paths. Browsing paths are extracted from users' access logs.  ...  A feature is a keyword in a Web collection. Documents are associated with weights, ORel, reflecting their age, i.e. the position in a browsing path.  ... 
doi:10.1145/1008992.1009075 dblp:conf/sigir/AzmanO04 fatcat:hnsldpaibnby7jesxtjrgmktde

An Exploration of ebook Selection Behavior in Academic Library Collections [chapter]

Dana McKay, Annika Hinze, Ralf Heese, Nicholas Vanderschantz, Claire Timpany, Sally Jo Cunningham
2012 Lecture Notes in Computer Science  
In this paper we seek to address that gap by analyzing ebook transaction logs for books in a university library.  ...  We acknowledge with thanks the kind support of Alison Morin and EBL in facilitating access to the EBL collection.  ...  What these patterns do show is consistency with the interaction patterns discovered in the same collection in [14] , and with the patterns seen in [13] , which examines digital reading of journal articles  ... 
doi:10.1007/978-3-642-33290-6_2 fatcat:k2l5xmhd3rhujcfv5gmzq3kp7i

CMedPort: An integrated approach to facilitating Chinese medical information seeking

Yilu Zhou, Jialun Qin, Hsinchun Chen
2006 Decision Support Systems  
Based on this approach, we developed CMedPort, a Chinese Web portal in the medical domain that not only allows users to search for Web pages from local collections and meta-search engines but also provides  ...  These encouraging outcomes suggest a promising future for applying our approach to Internet Accepted by Decision Support Systems (DSS), Forthcoming 2 searching and browsing in a multilingual world.  ...  Finally, we also want to thank the domain experts and all our subjects who took part in the evaluation study.  ... 
doi:10.1016/j.dss.2005.11.006 fatcat:hjui2ipuyfd55fjc3yjesi4bqm

Improving browsing in digital libraries with keyphrase indexes

Carl Gutwin, Gordon Paynter, Ian Witten, Craig Nevill-Manning, Eibe Frank
1999 Decision Support Systems  
As a result, users cannot easily determine what is in a collection, how well a particular topic is covered, or what kinds of queries will provide useful results.  ...  Conventional systems often operate at the wrong level, indexing words when people think in terms of topics, and returning documents when people want a broader view.  ...  In browsing, the user interacts with a collection and carries out searches, without having in mind a specific document or document set [5] .  ... 
doi:10.1016/s0167-9236(99)00038-x fatcat:kb6ixweypfa2dgtdhtyhhvll6u

Using HMM to learn user browsing patterns for focused Web crawling

Hongyu Liu, Jeannette Janssen, Evangelos Milios
2006 Data & Knowledge Engineering  
In particular, we first collect the Web pages visited during a user browsing session.  ...  The system consists of three stages: user data collection, user modelling via sequential pattern learning, and focused crawling.  ...  In order to represent the user browsing pattern, we construct a Web graph (Fig. 2b) .  ... 
doi:10.1016/j.datak.2006.01.012 fatcat:nzxokwzuqzhchecizg4gytx5b4

Keeping keywords fresh

Margarita Karkali, Vassilis Plachouras, Constantinos Stefanatos, Michalis Vazirgiannis
2012 Proceedings of the 2nd Temporal Web Analytics Workshop on - TempWeb '12  
Our experimental results show that BM25H achieves more than 70% in precision at 20 extracted keywords (based on human blind evaluation) and outperforms our baselines (TF and BM25 scoring functions), while  ...  For example, extracted keywords in contextual advertising are used to match advertisements with the web page currently browsed by a user.  ...  Vazirgiannis was partially financed by the DIGITEO grant LEVETONE in France.  ... 
doi:10.1145/2169095.2169099 dblp:conf/www/KarkaliPSV12 fatcat:eod4lyrkxbdgzn7abcbkem2xfu

Extracting and Modeling Historical Events to Enhance Searching and Browsing of Digital Cultural Heritage Collections [chapter]

Roxane Segers
2011 Lecture Notes in Computer Science  
-experiments with pattern-based events extraction (accepted abstract at CLIN'11) -prototype of Agora portal for event-based searching and browsing of cultural heritage collections (demo accepted at Museums  ...  Integrate results in Agora demonstrator. co-occurrancy based, both using Yahoo and Wikipedia and (3) lexical framing in news paper collections.  ... 
doi:10.1007/978-3-642-21064-8_43 fatcat:swt2cfmqmja73gcwbfs2bm6cnq
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