Document-Centered Collaboration for Scholars in the Humanities – The COLLATE System

Frommholz, Ingo; Brocks, Holger; Thiel, Ulrich; Neuhold, Erich J.; Iannone, Luigi; Semeraro, Giovanni; Berardi, Margherita; Ceci, Michelangelo

doi:10.1007/978-3-540-45175-4_40

Cited by 29 publications

(33 citation statements)

References 11 publications

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“…They are digitised and stored in the system repository. COLLATE supports the work between film scientists in different locations by establishing a collaboration cycle (Frommholz et al, 2003): users can react to other users' contribution, and so the cycle continues. Users have the option of manually assigning keywords to the digitised documents as well as cataloguing them according to a pre-defined schema.…”

Section: An Example: Annotation-based Scientific Discussion In Collatementioning

confidence: 99%

A probabilistic framework for information modelling and retrieval based on user annotations on digital objects

Frommholz

2009

SIGIR Forum

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Annotations are a means to make critical remarks, to explain and comment things, to add notes and give opinions, and to relate objects. Nowadays, they can be found in digital libraries and collaboratories, for example as a building block for scientific discussion on the one hand or as private notes on the other. We further find them in product reviews, scientific databases and many "Web 2.0" applications; even well-established concepts like emails can be regarded as annotations in a certain sense. Digital annotations can be (textual) comments, markings (i.e. highlighted parts) and references to other documents or document parts. Since annotations convey information which is potentially important to satisfy a user's information need, this thesis tries to answer the question of how to exploit annotations for information retrieval. It gives a first answer to the question if retrieval effectiveness can be improved with annotations.A survey of the "annotation universe" reveals some facets of annotations; for example, they can be content level annotations (extending the content of the annotation object) or meta level ones (saying something about the annotated object). Besides the annotations themselves, other objects created during the process of annotation can be interesting for retrieval, these being the annotated fragments. These objects are integrated into an object-oriented model comprising digital objects such as structured documents and annotations as well as fragments. In this model, the different relationships among the various objects are reflected. From this model, the basic data structure for annotation-based retrieval, the structured annotation hypertext, is derived.In order to thoroughly exploit the information contained in structured annotation hypertexts, a probabilistic, object-oriented logical framework called POLAR is introduced. In PO-LAR, structured annotation hypertexts can be modelled by means of probabilistic propositions and four-valued logics. POLAR allows for specifying several relationships among annotations and annotated (sub)parts or fragments. Queries can be posed to extract the knowledge contained in structured annotation hypertexts. POLAR supports annotation-based retrieval, i.e. document and discussion search, by applying an augmentation strategy (knowledge augmentation, propagating propositions from subcontexts like annotations, or relevance augmentation, where retrieval status values are propagated) in conjunction with probabilistic inference, where P (d → q), the probability that a document d implies a query q, is estimated. POLAR's semantics is based on possible worlds and accessibility relations. It is implemented on top of four-valued probabilistic Datalog.POLAR's core retrieval functionality, knowledge augmentation with probabilistic inference, is evaluated for discussion and document search. The experiments show that all relevant POLAR objects, merged annotation targets, fragments and content annotations, are able to increase retrieval effectiveness when used as a cont...

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Section: An Example: Annotation-based Scientific Discussion In Collatementioning

confidence: 99%

A probabilistic framework for information modelling and retrieval based on user annotations on digital objects

Frommholz

2009

SIGIR Forum

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“…Annotation is an essential facility for collaboration, although successful collaboration requires more. Examples are Collate, a film collaboratory (Frommholz et al 2003) and IPSA, a collaboratory for the study of botanical illustrations (Agosti et al 2003) regions. References to spotlights can be embedded in external web pages.…”

Section: Collaboratoriesmentioning

confidence: 99%

Mesotext : Digitised Emblems, Modelled Annotations and Humanities Scholarship

Boot¹

2009

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“…Manual annotations range from personal to shared to public ones. They can include personal notes, e.g., for comprehension, and whole discussions about documents [13,14]. Annotations are building blocks for collaboration.…”

Section: Annotation Contextmentioning

confidence: 99%

“…Annotation-based retrieval methods [13] can employ the annotation context without the need to actually access other peers. Since annotations, being manually or automatically created, contain additional information about the document, we assert that annotation-based retrieval functions boost retrieval effectiveness.…”

Section: Annotation Contextmentioning

confidence: 99%

Supporting Information Access in Next Generation Digital Library Architectures

Knežević

Mehta

Niederée

et al. 2005

Peer-to-Peer, Grid, and Service-Orientation in Digital Library Architectures

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Abstract. Current developments on Service-oriented Architectures, Peer-to-Peer and Grid computing promise more open and flexible architectures for digital libraries. They will open DL technology to a wider clientele, allow faster adaptability and enable the usage of federative models on content and service provision. These technologies rise new challenges for the realization of DL functionalities, which are rooted in the increased heterogeneity of content, services and metadata, in the higher degree of distribution and dynamics, as well as in the omission of a central control instance. This paper discusses these opportunities and challenges for three central types of DL functionality revolving around information access: metadata management, retrieval functionality, and personalization services.

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Document-Centered Collaboration for Scholars in the Humanities – The COLLATE System

Cited by 29 publications

References 11 publications

A probabilistic framework for information modelling and retrieval based on user annotations on digital objects

A probabilistic framework for information modelling and retrieval based on user annotations on digital objects

Mesotext : Digitised Emblems, Modelled Annotations and Humanities Scholarship

Supporting Information Access in Next Generation Digital Library Architectures

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