NDLI: Roller: a novel approach to Web information extraction

Content Provider	Springer Nature Link
Author	Jiménez, Patricia Corchuelo, Rafael
Copyright Year	2016
Abstract	The research regarding Web information extraction focuses on learning rules to extract some selected information from Web documents. Many proposals are ad hoc and cannot benefit from the advances in machine learning; furthermore, they are likely to fade away as the Web evolves, and their intrinsic assumptions are not satisfied. Some authors have explored transforming Web documents into relational data and then using techniques that got inspiration from inductive logic programming. In theory, such proposals should be easier to adapt as the Web evolves because they build on catalogues of features that can be adapted without changing the proposals themselves. Unfortunately, they are difficult to scale as the number of documents or features increases. In the general field of machine learning, there are propositio-relational proposals that attempt to provide effective and efficient means to learn from relational data using propositional techniques, but they have seldom been explored regarding Web information extraction. In this article, we present a new proposal called Roller: it relies on a search procedure that uses a dynamic flattening technique to explore the context of the nodes that provide the information to be extracted; it is configured with an open catalogue of features, so that it can adapt to the evolution of the Web; it also requires a base learner and a rule scorer, which helps it benefit from the continuous advances in machine learning. Our experiments confirm that it outperforms other state-of-the-art proposals in terms of effectiveness and that it is very competitive in terms of efficiency; we have also confirmed that our conclusions are solid from a statistical point of view.
Starting Page	197
Ending Page	241
Page Count	45
File Format	PDF
ISSN	02191377
Journal	Knowledge and Information Systems
Volume Number	49
Issue Number	1
e-ISSN	02193116
Language	English
Publisher	Springer London
Publisher Date	2016-03-10
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Web information extraction Knowledge and data engineering Software information systems Propositio-relational learning Dynamic flattening Information Systems and Communication Service IT in Business
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Information Systems Human-Computer Interaction Hardware and Architecture Software

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Self-supervised relation extraction from the Web

A Linguistic Approach to Extracting Acronym Expansions from Text

A formal framework to represent spatial knowledge

Web data extraction based on structural similarity

Schema-based Web wrapping

Distribution-free bounds for relational classification

Markov logic networks for adverse drug event extraction from text

Content annotation for the semantic web: an automatic web-based approach

Architecture for knowledge discovery and knowledge management

Roller: a novel approach to Web information extraction

Similar Documents

Self-supervised relation extraction from the Web

A Linguistic Approach to Extracting Acronym Expansions from Text

A formal framework to represent spatial knowledge

Web data extraction based on structural similarity

Schema-based Web wrapping

Distribution-free bounds for relational classification

Markov logic networks for adverse drug event extraction from text

Content annotation for the semantic web: an automatic web-based approach

Architecture for knowledge discovery and knowledge management

Roller: a novel approach to Web information extraction