Journal ArticleDOI
Semantic annotation for knowledge management: Requirements and a survey of the state of the art
Victoria Uren,Philipp Cimiano,José Iria,Siegfried Handschuh,Maria Vargas-Vera,Enrico Motta,Fabio Ciravegna +6 more
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TLDR
This analysis shows that, while there is still some way to go before semantic annotation tools will be able to address fully all the knowledge management needs, research in the area is active and making good progress.About:
This article is published in Journal of Web Semantics.The article was published on 2006-01-01. It has received 605 citations till now. The article focuses on the topics: Semantic Web Stack & Semantic computing.read more
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Information Extraction
TL;DR: A taxonomy of the field is created along various dimensions derived from the nature of the extraction task, the techniques used for extraction, the variety of input resources exploited, and the type of output produced to survey techniques for optimizing the various steps in an information extraction pipeline.
Journal ArticleDOI
Semantically enhanced Information Retrieval: An ontology-based approach
TL;DR: The major contribution of this work is an innovative, comprehensive semantic search model, which extends the classic IR model, addresses the challenges of the massive and heterogeneous Web environment, and integrates the benefits of both keyword and semantic-based search.
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Semantic turkey: a browser-integrated environment for knowledge acquisition and management
TL;DR: The semantic bookmarking and annotation facilities of Semantic Turkey are now supporting just a part of a whole methodology where different actors can cooperate in developing, building and populating ontologies while navigating the Web.
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Named Entity Recognition: Fallacies, challenges and opportunities
TL;DR: It is argued that the Named Entity Recognition task is actually far from solved and the consequences for the development and evaluation of tools are shown.
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Information extraction meets the semantic web: a survey
TL;DR: Millennium Institute for Foundational Research on Data (IMFD) Comision Nacional de Investigacion Cientifica y Tecnologica (CONICYT), CONICyT FONDECYT: 1181896
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OWL Web ontology language overview
TL;DR: This document provides an introduction to OWL by informally describing the features of each of the sublanguages of OWL, the Web Ontology Language by providing additional vocabulary along with a formal semantics.
Journal ArticleDOI
Unsupervised named-entity extraction from the Web: An experimental study
Oren Etzioni,Michael Cafarella,Doug Downey,Ana-Maria Popescu,Tal Shaked,Stephen Soderland,Daniel S. Weld,Alexander Yates +7 more
TL;DR: An overview of KnowItAll's novel architecture and design principles is presented, emphasizing its distinctive ability to extract information without any hand-labeled training examples, and three distinct ways to address this challenge are presented and evaluated.
Proceedings Article
Wrapper induction for information extraction
TL;DR: This work introduces wrapper induction, a method for automatically constructing wrappers, and identifies hlrt, a wrapper class that is e ciently learnable, yet expressive enough to handle 48% of a recently surveyed sample of Internet resources.
Proceedings ArticleDOI
Annotea: an open RDF infrastructure for shared Web annotations
José Kahan,Marja-Ritta Koivunen +1 more
TL;DR: The paper presents the overall design of Annotea and describes some of the issues the project faced and how it has solved them, including combining RDF with XPointer, XLink, and HTTP.
Proceedings Article
Visual Web Information Extraction with Lixto
TL;DR: Lixto, of which a working prototype has been implemented, assists the user to semi-automatically create wrapper programs by providing a fully visual and interactive user interface that helps to create very expressive extraction programs.