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Artequakt: Generating Tailored Biographies from Automatically Annotated Fragments from the Web

TLDR
An overview of the Artequakt system architecture is presented here and the three key components of that architecture are explained in detail, namely knowledge extraction, information management and biography construction.
Abstract
The Artequakt project seeks to automatically generate narrative biographies of artists from knowledge that has been extracted from the Web and maintained in a knowledge base. An overview of the system architecture is presented here and the three key components of that architecture are explained in detail, namely knowledge extraction, information management and biography construction. Conclusions are drawn from the initial experiences of the project and future progress is detailed.

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Journal ArticleDOI

Automatic ontology-based knowledge extraction from Web documents

TL;DR: The Artequakt project is considered, which links a knowledge extraction tool with an ontology to achieve continuous knowledge support and guide information extraction and is further enhanced using a lexicon-based term expansion mechanism that provides extended ontology terminology.
Book ChapterDOI

The Semantic Grid: A Future e‐Science Infrastructure

TL;DR: This paper presents a conceptual architecture for the Semantic Grid, a service-oriented perspective in which distinct stakeholders in the scientific process, represented as software agents, provide services to one another, under various service level agreements, in various forms of marketplace.
Journal ArticleDOI

The effects of transparency on trust in and acceptance of a content-based art recommender

TL;DR: Investigating the influence of transparency on user trust in and acceptance of content-based recommender systems in the cultural heritage domain shows that explaining to the user why a recommendation was made increased acceptance of the recommendations, but trust in the system itself was not improved by transparency.
Book ChapterDOI

Ontology population and enrichment: state of the art

TL;DR: This chapter presents a survey of the most relevant methods, techniques and tools used for the task of ontology learning, explaining how BOEMIE addresses problems observed in existing systems and contributes to issues that are not frequently considered by existing approaches.
Proceedings ArticleDOI

Statistical acquisition of content selection rules for natural language generation

TL;DR: This paper presents a method to acquire content selection rules automatically from a corpus of text and associated semantics and evaluated by comparing its output with information selected by human authors in unseen texts, where it was able to filter half the input data set without loss of recall.
References
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TL;DR: Standard alphabetical procedures for organizing lexical information put together words that are spelled alike and scatter words with similar or related meanings haphazardly through the list.
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Narratology: Introduction to the Theory of Narrative

TL;DR: Bal's Narratology as discussed by the authors is a systematic account of narrative techniques, methods, their transmission, and reception, in which Bal distills years of study of the ways in which we understand both literary and non-literary works.
Journal ArticleDOI

Learning and Revising User Profiles: The Identification ofInteresting Web Sites

TL;DR: The use of a naive Bayesian classifier is described, and it is demonstrated that it can incrementally learn profiles from user feedback on the interestingness of Web sites and may easily be extended to revise user provided profiles.
Book

Narratology: Introduction to the Theory of Narrative

Mieke Bal
TL;DR: Bal's Narratology as mentioned in this paper is a systematic account of narrative techniques, methods, their transmission, and reception, in which Bal distills years of study of the ways in which we understand both literary and non-literary works.

Ontologies and Knowledge Bases. Towards a Terminological Clarification

TL;DR: It is argued for the need of clear terminological choices regarding the technical use of terms like "ontology", "conceptualization" and "ontological commitment" in the current debate in AI, and the possible confusion between an ontology intended as a particular conceptual framework at the knowledge level and a concrete artifact at the symbol level.
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