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Annotating documents by Wikipedia concepts ∗

by Peter Schönhofen
"... We present a technique which is able to reliably label words or phrases of an arbitrary document with Wikipedia articles (concepts) best describing their meaning. First it scans the document content, and when it finds a word sequence matching the title of a Wikipedia article, it attaches the article ..."
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We present a technique which is able to reliably label words or phrases of an arbitrary document with Wikipedia articles (concepts) best describing their meaning. First it scans the document content, and when it finds a word sequence matching the title of a Wikipedia article, it attaches

User Annotation Document Types

by Sean Boisen, Logos Bible Software
"... – Automated aggregation and reporting ..."
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– Automated aggregation and reporting

Latent Contextual Indexing of Annotated Documents

by Christian Sengstock, Michael Gertz , 2012
"... In this paper we propose a simple and flexible framework to index context-annotated documents, e.g., documents with timestamps or georeferences, by contextual topics. A contextual topic is a distribution over document features with a particular meaning in the context domain, such as a repetitive eve ..."
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In this paper we propose a simple and flexible framework to index context-annotated documents, e.g., documents with timestamps or georeferences, by contextual topics. A contextual topic is a distribution over document features with a particular meaning in the context domain, such as a repetitive

Topic Models for Semantically Annotated Document Collections

by Markus Bundschus, Volker Tresp, Hans-peter Kriegel
"... Increasingly, web document collections such as PubMed and DBPedia, but also social bookmarking systems, are annotated with semantic meta data. Given that the number of semantically annotated document collections is expected to increase in the near future, it is of interest to analyze if topic models ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
Increasingly, web document collections such as PubMed and DBPedia, but also social bookmarking systems, are annotated with semantic meta data. Given that the number of semantically annotated document collections is expected to increase in the near future, it is of interest to analyze if topic

P2P Views over Annotated Documents

by Konstantinos Karanasos, Ioana Manolescu
"... Abstract — We consider the efficient, scalable management of XML documents in structured peer-to-peer networks based on distributed hash table (DHT) indices and present an approach for answering queries by exploiting materialized views deployed in the DHT network independently by the peers. We descr ..."
Abstract - Cited by 2 (1 self) - Add to MetaCart
describe how our approach can be employed to also handle RDF-annotated documents and provide algorithms to index and materialize the views in the DHT, as well as rewrite the queries using such views. I.

An Ontology Based Approach for Automatically Annotating Document Segments

by Maryam Hazman, Samhaa R. El-beltagy, Ahmed Rafea
"... This paper presents an approach for automatically annotating document segments within information rich texts using a domain ontology. The work exploits the logical structure of input documents in order to achieve its task. The underlying assumption behind this work is that segments in such documents ..."
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This paper presents an approach for automatically annotating document segments within information rich texts using a domain ontology. The work exploits the logical structure of input documents in order to achieve its task. The underlying assumption behind this work is that segments

Automatically annotating documents with normalized gene lists

by Jeremiah Crim, Ryan Mcdonald, O Pereira - BMC Bioinformatics, 6 (Supplement I)(13 , 2005
"... Recently, researchers have begun to apply machinelearning-based information extraction techniques to biomedical text, most notably to identify gene and chemical compound mentions [5, 7, 8]. A related ..."
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Recently, researchers have begun to apply machinelearning-based information extraction techniques to biomedical text, most notably to identify gene and chemical compound mentions [5, 7, 8]. A related

Search Strategies for Finding Annotations and Annotated Documents: the FAST Service

by Maristella Agosti, Nicola Ferro - in Proc. 7th International Conference on Flexible Query Answering Systems (FQAS 2006 , 2006
"... Abstract. This paper discusses two kinds of search strategies supported by the Flexible Annotation Service Tool (FAST), an annotation ser-vice that can be used by different Digital Library Management Systems (DLMSs). The first strategy concerns the search and retrieval of annota-tions, considered as ..."
Abstract - Cited by 14 (6 self) - Add to MetaCart
as stand-alone documents; while, the second one regards how to exploit annotations in order to search and retrieve annotated documents which are relevant for a user query. This paper describes the proposed search strategies in the light of the architectural design choices needed to support them. 1

Using collaborative filtering to weave an information tapestry

by David Goldberg, David Nichols, Brian M. Oki, Douglas Terry - Communications of the ACM , 1992
"... predicated on the belief that information filtering can be more effective when humans are involved in the filtering process. Tapestry was designed to support both content-based filtering and collaborative filtering, which entails people collaborating to help each other perform filtering by recording ..."
Abstract - Cited by 953 (4 self) - Add to MetaCart
by recording their reactions to documents they read. The reactions are called annotations; they can be accessed by other people’s filters. Tapestry is intended to handle any incoming stream of electronic documents and serves both as a mail filter and repository; its components are the indexer, document store

The Semantic Annotated Documents- From HTML to the Semantic Web

by Jason C. Hung
"... Abstract:-The current circumstance of the Semantic Web is that there is not much of a Semantic Web due to the lack of annotated web pages. There is such a lack because annotating web pages currently does not provide much practical benefit. In this work an automated approach to semantics extraction a ..."
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Abstract:-The current circumstance of the Semantic Web is that there is not much of a Semantic Web due to the lack of annotated web pages. There is such a lack because annotating web pages currently does not provide much practical benefit. In this work an automated approach to semantics extraction
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