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Bootstrapping Domain-Specific Content Discovery on the Web

Kien Pham, Aecio Santos, Juliana Freire
2019 The World Wide Web Conference on - WWW '19  
The ability to continuously discover domain-specific content from the Web is critical for many applications.  ...  In this paper, we propose DISCO, an approach designed to bootstrap domain-specific search. Given a small set of websites, DISCO aims to discover a large collection of relevant websites.  ...  RELATED WORK Several techniques have been proposed to discover domain-specific web content.  ... 
doi:10.1145/3308558.3313709 dblp:conf/www/PhamSF19 fatcat:effkmmyq2bdopacc4ygaoakgoe

Ontology learning: state of the art and open issues

Lina Zhou
2007 Journal of Special Topics in Information Technology and Management  
Ontology learning, which seeks to discover ontological knowledge from various forms of data automatically or semi-automatically, can overcome the bottleneck of ontology acquisition in ontology development  ...  In light of the impact of domain on choosing ontology learning approaches, we summarize domain characteristics that can facilitate future ontology learning effort.  ...  / or a specific learning approach is applied to an unsuitable domain.  ... 
doi:10.1007/s10799-007-0019-5 fatcat:4hyq6hnxkncw7lrp2ll5l5r5im

Adaptive Focused Crawling Using Online Learning: A Study On Content Related To Islamic Extremism

Christos Iliou, Theodora Tsikrika, George Kalpakis, Stefanos Vrochidis, Ioannis Kompatsiaris
2018 Zenodo  
Focused crawlers aim to automatically discover online content resources relevant to a domain of interest by automatically navigating through the Web link structure and selecting which hyperlinks to follow  ...  to relevant content.  ...  and negative samples of online Web content on the domain of interest.  ... 
doi:10.5281/zenodo.1415482 fatcat:a4n2iwoqn5da7pp3c5qv3snyie

Domain model relations discovering in educational texts based on user created annotations

Vladimir Mihal, Maria Bielikova
2011 2011 14th International Conference on Interactive Collaborative Learning  
As annotations we use links to external educational resources related to educational texts. We integrate external resources into the learning course and analyze their content.  ...  Based on the content analysis we construct a graph consisting of educational content, external resources and existing concepts in the domain model and use graph algorithms to derive new relations.  ...  The authors wish to thank all members of the ALEF development team (members of Personalized Web group, pewe.fiit.stuba.sk) for their invaluable contribution to the ALEF framework realization and deployment  ... 
doi:10.1109/icl.2011.6059644 fatcat:nher72p6dnfy5oikoaed6oca5y

Research on discovering deep web entries

Ying Wang, Huilai Li, Wanli Zuo, Fengling He, Xin Wang, Kerui Chen
2011 Computer Science and Information Systems  
Ontology plays an important role in locating Domain-Specific Deep Web contents, therefore, this paper presents a novel framework WFF for efficiently locating Domain-Specific Deep Web databases based on  ...  Lastly, FCC identifies searchable forms that belong to a given domain in the semantic level, and stores these URLs of Domain-Specific searchable forms to a database.  ...  Therefore, a novel method of ontology-assisted FCC is proposed to identify Domain-Specific databases by analyzing Domain-Specific form content [31] [32] [33] . Definition9.  ... 
doi:10.2298/csis100322028w fatcat:vs5ll74p75dankfuszist3wpjq

Deep Web Crawling for Insights from Polar Data

Siri Jodha S. Khalsa, Chris A. Mattmann, Ruth Duerr
2017 Zenodo  
We use the Polar domain to motivate the problem and our proposed solution. However, our techniques are applicable and scalable to other domains.  ...  text and multimedia content.  ...  • GSEs lack domain knowledge and context; are agnostic to data content. • They lack basis for selectively crawling parts of a site that are specific to a particular domain of interest. • Are not specifically  ... 
doi:10.5281/zenodo.4659689 fatcat:xxnldvbd75fupfolyjhulzuh34

Adaptive Web-Based Courseware Development Using Metadata Standards and Ontologies [chapter]

Lydia Silva Muñoz, José Palazzo Moreira de Oliveira
2004 Lecture Notes in Computer Science  
Using the Web as the ubiquitous repository of educative content, standards for metadata to describe resources on the e-learning domain must be used in order to enable interoperability and reuse of learning  ...  To enable intelligent behavior in building complex learning objects "on demand" customized for an intended audience, ontologies can be used to represent the knowledge the system has on the domain to be  ...  An identified future work is to relate the top of each taxonomy used to classify learning objects by subject matter in the knowledge Space Model with the criteria of Discipline or Idea with a more general  ... 
doi:10.1007/978-3-540-25975-6_30 fatcat:ma6yr2lgunhufmlkiwbuxtrg5u

A Comparative Study of Hidden Web Crawlers
English

Sonali Gupta, Komal Kumar Bhatia
2014 International Journal of Computer Trends and Technology  
Research on Hidden Web has emerged almost a decade ago with the main line being exploring ways to access the content in online databases that are usually hidden behind search forms.  ...  The efforts in the area mainly focus on designing hidden Web crawlers that focus on learning forms and filling them with meaningful values.  ...  domain-specific form classifier (DSFC) which checks whether the form belongs to the target domain.  ... 
doi:10.14445/22312803/ijctt-v12p122 fatcat:urimdozni5cc5atetum2cjmoka

Personalization of e-Learning Services using Web Mining and Semantic Web

Sandesh Jain, Dhanander K. Jain, Harihar Bhojak, Ankit Bhilwar, Mamatha J
2012 International Journal of Machine Learning and Computing  
The e-Learning has become matured learning paradigm with the advent of web based learning and content management tools, and shifted the focus of entire world from instructor centric learning paradigm to  ...  For providing the intelligence to evaluation system and other e-Learning services, various domains like data mining, web mining, semantic web etc. can be utilized intelligently.  ...  In e-learning domain, semantic web technology can guide and support developers, instructors, and learners to organize, personalize, and publish learning content and even to discover, generate, and compose  ... 
doi:10.7763/ijmlc.2012.v2.191 fatcat:cpvoz5tqofbevhn3kmbx5tbege

Focused Crawling for Educational Materials from the Web

K.R. Premlatha, T.V. Geetha
2011 International Journal of Computer Science and Informatics  
An enormous amount of learning material is needed for the e-learning content management system to be effective.  ...  This has led to the difficulty of locating suitable learning materials for a particular learning topic, creating the need for automatic exploration of good content within the learning context.  ...  The popularity of exchange and dissemination of content through the web has created a huge amount of educational resources and the challenge of locating suitable learning references specific to a learning  ... 
doi:10.47893/ijcsi.2011.1020 fatcat:psbw4cijojhghli6vxo2mwjdfu

Learning non-taxonomic relationships from web documents for domain ontology construction

David Sánchez, Antonio Moreno
2008 Data & Knowledge Engineering  
It is able to discover domain-related verbs, extract non-taxonomically related concepts and label relationships, using the Web as corpus.  ...  The method is able to discover relevant verbs for a domain, which are used as the knowledge base to learn and label non-taxonomic relationships automatically and unsupervisedly.  ...  As they will be used to learn non-taxonomic relations, this selection stage helps to focus the analysis in the truly domain-specific relationships.  ... 
doi:10.1016/j.datak.2007.10.001 fatcat:lhkdrvccfvg37hjty2z25omsmu

Guest editors' introduction: special section on mining and searching the web

Bing Liu, S. Chakrabarti
2004 IEEE Transactions on Knowledge and Data Engineering  
The main advantage of the proposed method is that it does not need to collect and index domain specific pages as most domain specific search engines do.  ...  Discovering and extracting novel and useful knowledge from Web sources call for innovative approaches that draw from a wide range of fields spanning data mining, machine learning, statistics, databases  ...  The main advantage of the proposed method is that it does not need to collect and index domain specific pages as most domain specific search engines do.  ... 
doi:10.1109/tkde.2004.1264817 fatcat:eghxc3zqenczlhdtjlkr2jtbse

Knowledge Harvesting for Business Intelligence [chapter]

Nesrine Ben Mustapha, Marie-Aude Aufaure
2013 Lecture Notes in Business Information Processing  
We will present the state of the art of ontology learning approaches from textual data and web environment and their integration in enterprise systems to perform personalized and incremental knowledge  ...  This led to mainly five categories of OL approaches: • Ontology learning based on web content mining (texts); • Ontology learning based on web structure mining; • Ontology learning from web dictionary;  ...  web content document).  ... 
doi:10.1007/978-3-642-36318-4_8 fatcat:rzo4x452orbgveortwrw5izgry

Improving adaptation in web-based educational hypermedia by means of knowledge discovery

Andrej Krištofič, Mária Bieliková
2005 Proceedings of the sixteenth ACM conference on Hypertext and hypermedia - HYPERTEXT '05  
This problem is more noticeable in educational adaptive hypermedia systems, where adaptation to individual learning style of a student is important for the student to effectively assess particular domain  ...  In this paper we present techniques for data mining, which can be used to discover knowledge about students' behavior during learning, as well as techniques, which take advantage of such knowledge to recommend  ...  learn the domain.  ... 
doi:10.1145/1083356.1083392 dblp:conf/ht/KristoficB05 fatcat:rai3lybbczbrpacrkll67utx7y

Deep Web Crawler: Exploring and Re-ranking of Web Forms

Rashmi K., Vijaya Kumar, H. S.
2016 International Journal of Computer Applications  
Given the dynamic nature of the web, where data sources are constantly changing, it is crucial to discover these resources.  ...  Deep web crawl is concerned with the problem of surfacing hidden content behind search interfaces on the web.  ...  They implemented a domain specific crawler that starts on indexable pages and detects forms relevant to a given domain.  ... 
doi:10.5120/ijca2016911448 fatcat:v7uwcz65i5bivcrgnwb532utly
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