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290
B.-J.: Research on linked data and co-reference resolution
, 2009
"... This project report details work carried out in collaboration between the University of Southampton and the Korea Institute of Science and Technology Information, focussing on an RDF dataset of academic authors and publications. Activities included the conversion of the dataset to produce Linked Dat ..."
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Cited by 6 (0 self)
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Data, the identification of co-references in and between datasets, and the development of an ontology mapping service to facilitate the integration of the dataset with an
Managing co-reference on the semantic web
- In WWW2009 Workshop: Linked Data on the Web (LDOW2009
, 2009
"... Co-reference resolution, or the determination of ‘equivalent’ URIs referring to the same concept or entity, is a significant hurdle to overcome in the realisation of large scale Semantic Web applications. However, it has only recently gained the attention of research communities in the Semantic Web ..."
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Cited by 38 (3 self)
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and experiences in using the Coreference Resolution Service (CRS) to facilitate rigorous management of URI co-reference data, and enable interoperation between multiple Linked Open Data sources. Comparisons are made throughout the paper contrasting the differences in the way the CRS manages multiple URIs
A modular approach to learning Dutch co-reference resolution
- In Proceedings of WAR I
, 2007
"... This paper presents the first machine learning approach to the resolution of co-referential relations between nominal constituents in Dutch. Based on the hypothesis that different types of information sources contribute to a correct resolution of different types (pronominal, proper noun and common n ..."
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Cited by 1 (0 self)
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. In addition, we show that by postprocessing the resulting co-reference chains by means of a string-edit distance correction mechanism, we can avoid some unlikely local chainings and thereby improve precision. Lacking comparative results for Dutch, we also report results on the English MUC-6 and MUC-7 data
A Corpus for Cross-Document Co-Reference
"... This paper describes a newly created text corpus of news articles that has been annotated for cross-document co-reference. Being able to robustly resolve references to entities across document boundaries will provide a useful capability for a variety of tasks, ranging from practical information retr ..."
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to be searched for likely co-referring entity mentions. This corpus of 257K words links mentions of co-referent people, locations and organizations (subject to some additional constraints). Each of the documents had already been annotated for within-document coreference by the LDC as part of the ACE series
Cross-Document Co-reference Resolution using Latent Features
"... Abstract. Over the last years, entity detection approaches which com-bine named entity recognition and entity linking have been used to detect mentions of RDF resources from a given reference knowledge base in un-structured data. In this paper, we address the problem of assigning a single URI to nam ..."
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to named entities which stand for the same real-object across documents but are not yet available in the reference knowledge base. This task is known as cross-document co-reference resolution and has been addressed by manifold approaches in the past. We present a pre-liminary study of a novel take
URI Disambiguation in the Context of Linked Data
"... The Linked Data initiative has given rise to an increasing number of RDF datasets, many of which are freely accessible online. These resources often arise as a result of database exports; however sufficient consideration may not be given to the unseen implications caused when they are used in the wi ..."
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Cited by 14 (2 self)
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in the wider context of the Semantic Web. This paper investigates two popular resources, DBLP and DBpedia, and discusses whether the issues regarding identity management and co-reference resolution have been suitably addressed. We find that a large percentage of authors in DBLP have been conflated
CoNLL Shared Task 2010 Proposal: Reference Resolution to Wikipedia
"... A fundamental problem in natural language processing involves mapping textual strings to their referant entries in an external knolwedge base. Wikipedia has rapidly become the canonical knowledge base for this task, due to its unprecedented breadth. We refer to the task of unambiguously identifying ..."
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disambiguation [10, 4], cross-document coreference resolution [5, 9], and other tasks [11, 8]. Excitement about RRW has resulted in a variety of distinct approaches, developed by numerous research groups. Due to differences in the specific task formulation and annotated corpora employed, the approaches
Materials for an exploratory theory of the network society.
- The British Journal of Sociology
, 2000
"... ABSTRACT This article aims at proposing some elements for a grounded theor y of the network society. The network society is the social structure characteristic of the Information Age, as tentatively identi ed by empirical, cross-cultural investigation. It permeates most societies in the world, in v ..."
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Cited by 122 (0 self)
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as the project is nished. Major corporations work in a strategy of changing alliances and partnerships, speci c to a given product, process, time, and space. Furthermore, these co-operations are based increasingly on sharing of information. These are information networks, which, in the limit, link up suppliers
IOS Press Five Stars of Linked Data Vocabulary Use Editorial
"... Abstract. In 2010 Tim Berners-Lee introduced a 5 star rating to his Linked Data design issues page to encourage data publishers along the road to good Linked Data. What makes the star rating so effective is its simplicity, clarity, and a pinch of psychology – is your data 5 star? While there is an a ..."
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there is an abundance of 5 star Linked Data available today, finding, querying, and integrating/interlinking these data is, to say the least, difficult. While the literature has largely focused on describing datasets, e.g., by adding provenance information, or interlinking them, e.g., by co-reference resolution tools
Using background knowledge to support coreference resolution
- In Proceedings of ECAI
, 2010
"... Abstract. Systems based on statistical and machine learning meth-ods have been shown to be extremely effective and scalable for the analysis of large amount of textual data. However, in the recent years, it becomes evident that one of the most important direction of improvement in natural language p ..."
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Cited by 10 (1 self)
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processing (NLP) tasks, like word sense disambiguation, coreference resolution, relation extrac-tion, and other tasks related to knowledge extraction, is by exploit-ing semantics. While in the past, the unavailability of rich and com-plete semantic descriptions constituted a serious limitation
Results 1 - 10
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