Narrative Query Graphs for Entity-Interaction-Aware Document Retrieval

Kroll, Hermann; Pirklbauer, Jan; Kalo, Jan-Christoph; Kunz, Morris; Ruthmann, Johannes; Balke, Wolf‐Tilo

doi:10.1007/978-3-030-91669-5_7

Cited by 9 publications

(7 citation statements)

References 18 publications

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“…We performed case studies to understand the benefits and limitations of narrative information access. In particular, we built on our publicly available narrative retrieval system called Narrative Query Graphs for Entity-Interaction Document Retrieval by [13]. We built a working document retrieval system that allows formulating information needs as graph patterns, i.e., entities and their corresponding interactions.…”

Section: Narrative Query Processing In Practice -Case Studiesmentioning

confidence: 99%

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What a Publication Tells You -- Benefits of Narrative Information Access in Digital Libraries

Kroll,

Plötzky,

Pirklbauer

et al. 2022

Preprint

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Knowledge bases allow effective access paths in digital libraries.Here users can specify their information need as graph patterns for precise searches and structured overviews (by allowing variables in queries). But especially when considering textual sources that contain narrative information, i.e., short stories of interest, harvesting statements from them to construct knowledge bases may be a serious threat to the statements' validity. A piece of information, originally stated in a coherent line of arguments, could be used in a knowledge base query processing without considering its vital context conditions. And this can lead to invalid results. That is why we argue to move towards narrative information access by considering contexts in the query processing step. In this way digital libraries can allow users to query for narrative information and supply them with valid answers. In this paper we define narrative information access, demonstrate its benefits for Covid 19 related questions, and argue on the generalizability for other domains such as political sciences.

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Section: Narrative Query Processing In Practice -Case Studiesmentioning

confidence: 99%

“…We then argue on contexts and how digital libraries can retain them. In addition, we perform two case studies on top of our narrative retrieval system, published last year [13]. We investigate COVID-19-related research questions in 1 https://www.ncbi.nlm.nih.gov/research/coronavirus/ cooperation with domain experts.…”

Section: Introductionmentioning

confidence: 99%

What a Publication Tells You -- Benefits of Narrative Information Access in Digital Libraries

Kroll,

Plötzky,

Pirklbauer

et al. 2022

Preprint

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“…PubPharm is currently using the PathIE extractions in their narrative retrieval service [13]. Here recall is essential to find a suitable number of results to answer queries.…”

Section: Pharmacy Treatsmentioning

confidence: 99%

“…Consider PubPharm for a good example: PathIE could enable a graph-based retrieval service with moderate costs [13]. Around nine sessions with experts and moderate development time were necessary to implement a workflow.…”

Section: Application and Costsmentioning

confidence: 99%

A Library Perspective on Nearly-Unsupervised Information Extraction Workflows in Digital Libraries

Kroll

Pirklbauer

Plötzky

et al. 2022

Proceedings of the 22nd ACM/IEEE Joint Conference on Digital Libraries

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Information extraction can support novel and effective access paths for digital libraries. Nevertheless, designing reliable extraction workflows can be cost-intensive in practice. On the one hand, suitable extraction methods rely on domain-specific training data. On the other hand, unsupervised and open extraction methods usually produce not-canonicalized extraction results. This paper tackles the question how digital libraries can handle such extractions and if their quality is sufficient in practice. We focus on unsupervised extraction workflows by analyzing them in case studies in the domains of encyclopedias (Wikipedia), pharmacy and political sciences. We report on opportunities and limitations. Finally we discuss best practices for unsupervised extraction workflows.

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“…Most works in this direction fall into one of two categories: First, the unsupervised extraction of narrative patterns, i.e., script learning [21] or inferring event chains [6,7]. Secondly, the top-down approach, i.e., modeling narrative structures and verify them against a (heterogeneous) knowledge repository [15,16]. Our work falls into the second category.…”

Section: Related Workmentioning

confidence: 99%

It's the Same Old Story! Enriching Event-Centric Knowledge Graphs by Narrative Aspects

Plötzky,

Balke

2022

Preprint

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Our lives are ruled by events of varying importance ranging from simple everyday occurrences to incidents of societal dimension. And a lot of effort is taken to exchange information and discuss about such events: generally speaking, stringent narratives are formed to reduce complexity. But when considering complex events like the current conflict between Russia and Ukraine it is easy to see that those events cannot be grasped by objective facts alone, like the start of the conflict or respective troop sizes. There are different viewpoints and assessments to consider, a different understanding of the roles taken by individual participants, etc. So how can such subjective and viewpoint-dependent information be effectively represented together with all objective information? Recently eventcentric knowledge graphs have been proposed for objective event representation in the otherwise primarily entity-centric domain of knowledge graphs. In this paper we introduce a novel and lightweight structure for event-centric knowledge graphs, which for the first time allows for queries incorporating viewpoint-dependent and narrative aspects. Our experiments prove the effective incorporation of subjective attributions for event participants and show the benefits of specifically tailored indexes for narrative query processing.

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Narrative Query Graphs for Entity-Interaction-Aware Document Retrieval

Cited by 9 publications

References 18 publications

What a Publication Tells You -- Benefits of Narrative Information Access in Digital Libraries

What a Publication Tells You -- Benefits of Narrative Information Access in Digital Libraries

A Library Perspective on Nearly-Unsupervised Information Extraction Workflows in Digital Libraries

It's the Same Old Story! Enriching Event-Centric Knowledge Graphs by Narrative Aspects

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