نتایج جستجو برای: semantic search

تعداد نتایج: 391290  

Journal: :International Journal of Computational Intelligence Research 2017

2005
Carole A. Goble

The Semantic Grid is an extension of the current Grid in which information and services are given well defined and explicitly represented meaning, better enabling computers and people to work in cooperation [1]. Existing Grid Services deal with knowledge in the form of metadata and its associated semantics in an implicit fashion, providing no way to share this knowledge with other Grid componen...

2008
Wang Wei Payam M. Barnaghi Andrzej Bargiela

Research on semantic search aims to improve conventional information search and retrieval methods, and facilitate information acquisition, processing, storage and retrieval on the semantic web. The past ten years have seen a number of implemented semantic search systems and various proposed frameworks. A comprehensive survey is needed to gain an overall view of current research trends in this f...

2010
Sein Lin Jun-Ping Ng Shreyasee S. Pradhan Jatin Shah Ricardo Pietrobon Min-Yen Kan

We explore the use of conditional random fields (CRFs) to automatically extract important metadata from clinical research articles. These metadata fields include formulaic metadata about the authors, extracted from the title page, as well as free text fields concerning the study’s critical parameters, such as longitudinal variables and medical intervention methods, extracted from the body text ...

2010
Aidan Hogan Andreas Harth Jürgen Umbrich Sheila Kinsella Axel Polleres Stefan Decker

In this report, we discuss the architecture and implementation of the Semantic Web Search Engine (SWSE). Following traditional search engine architecture, SWSE consists of crawling, data enhancing, indexing and a user interface for search, browsing and retrieval of information; unlike traditional search engines, SWSE operates over RDF Web data (loosely also known as Linked Data) which implies u...

2006
Andreas Harth Sebastian Ryszard Kruk Stefan Decker

We present a system that enables users to query data from the Semantic Web. The system combines methods from the areas of Semantic Web, Information Retrieval, and Social Network Analysis. The system enables users to navigate data from disparate sources in an integrated fashion. We present a prototype implementation. Vast information sources like the Internet are very hard to browse or search, a...

Journal: :Foundations and Trends in Information Retrieval 2014
Hang Li Jun Xu

In this talk, we will give a high level introduction to our book entitled “Semantic Matching in Search”, which was published recently in Foundations and Trends in Information Retrieval [1]. We will start our talk by pointing out the importance of semantic matching for natural language processing and information retrieval. Most of the tasks in natural language processing and information retrieva...

Journal: :International Journal on Semantic Web and Information Systems 2018

Journal: :CAAI Transactions on Intelligence Technology 2016

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