On the Diversity and Availability of Temporal Information in Linked Open Data

Rula, Anisa; Palmonari, Matteo; Harth, Andreas; Stadtmüller, Steffen; Maurino, Andrea

doi:10.1007/978-3-642-35176-1_31

Cited by 36 publications

(34 citation statements)

References 21 publications

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“…We see it as a metadata applied to a triple through its predicate. Therefore, we provide a model for the representation of uncertainty by adapting the ''reification'' method described in [30] and originally targeted at time-stamping temporal triples. For a more compact representation, we also integrate the RDF concept of ''blank nodes'', also known as ''anonymous resources'' [31].…”

Section: Semantic Model For Uncertainty Integrationmentioning

confidence: 99%

Uncertainty handling in semantic reasoning for accurate context understanding

Aloulou

Mokhtari

Tiberghien

et al. 2015

Knowledge-Based Systems

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Section: Semantic Model For Uncertainty Integrationmentioning

confidence: 99%

Uncertainty handling in semantic reasoning for accurate context understanding

Aloulou

Mokhtari

Tiberghien

et al. 2015

Knowledge-Based Systems

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“…In this step we adopt an approach that was used in previous work [18]. We add to this set of extracted dates a date representing the current time.…”

Section: Extraction Of Temporal Information From Rdf Documentsmentioning

confidence: 99%

“…This is partly due to the sophisticated meta-modeling strategies needed to represent temporal annotations in RDF [18]. As a consequence, several knowledge bases contain volatile facts without explicitly annotating the triples with information about their temporal scope.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Acquisition of Temporal Scopes for RDF Data

Rula

Palmonari

Ngomo

et al. 2014

Lecture Notes in Computer Science

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Abstract. Information on the temporal interval of validity for facts described by RDF triples plays an important role in a large number of applications. Yet, most of the knowledge bases available on the Web of Data do not provide such information in an explicit manner. In this paper, we present a generic approach which addresses this drawback by inserting temporal information into knowledge bases. Our approach combines two types of information to associate RDF triples with time intervals. First, it relies on temporal information gathered from the document Web by an extension of the fact validation framework DeFacto. Second, it harnesses the time information contained in knowledge bases. This knowledge is combined within a three-step approach which comprises the steps matching, selection and merging. We evaluate our approach against a corpus of facts gathered from Yago2 by using DBpedia and Freebase as input and different parameter settings for the underlying algorithms. Our results suggest that we can detect temporal information for facts from DBpedia with an F-measure of up to 70%.

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“…While there is still no consensus and temporal aspects are largely neglected in practice [35], this section provides an overview of existing proposals.…”

Section: Time In Knowledge Representationmentioning

confidence: 99%

Linked Data and Time – Modeling Researcher Life Lines by Events

Trame

Keβler

Kuhn

2013

Spatial Information Theory

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Abstract. Most datasets on the Linked Data Web impose a static view on the represented entities and relations between them, neglecting temporal aspects of the reality they represent. In this paper, we address the representation of resources in their spatial, temporal and thematic context. We review the controversial proposals for the representation of time-dependent relations on the Linked Data Web. We argue that representing and using such relations is made hard through the direct encoding of inadequate conceptualizations, rather than through inherent limitations of the representation language RDF. Using the example of researcher life lines extracted from curricula vitae, we show how to model sequences of activities in terms of events. We build upon the event participation pattern from the DOLCE Ultralite+DnS Ontology and show how places and social roles that people play during their careers relate to events. Furthermore, we demonstrate how scientific achievements can be related to events in a career trajectory by means of temporal reasoning.

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On the Diversity and Availability of Temporal Information in Linked Open Data

Cited by 36 publications

References 21 publications

Uncertainty handling in semantic reasoning for accurate context understanding

Uncertainty handling in semantic reasoning for accurate context understanding

Hybrid Acquisition of Temporal Scopes for RDF Data

Linked Data and Time – Modeling Researcher Life Lines by Events

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