Exploring the Information Space of Cultural Collections Using Formal Concept Analysis

Wray, Tim; Eklund, Peter

doi:10.1007/978-3-642-20514-9_19

Cited by 7 publications

(6 citation statements)

References 12 publications

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“…For the time being, this functionality is provided by the structured approach thanks to the structure it builds on the top of the collection, and not by the semantic approach [6]. Structuring the collection has the advantage of pre-computing the answers to all the satisfiable queries, either elementary or relational, which allows to find approximate answers to users' queries and discover new knowledge, relying on the strategy of [11] without extra calculation. Some exploration facilities are given in Figure 6.…”

Section: Exploration Facilitiesmentioning

confidence: 99%

“…which are annotated with a subset of its attributes. This corresponds to the function of search by example [11] where the user has initially a sample, one document or a set of documents, and looks for similar ones (typically the case of a municipal clerk having to draft a local act and who starts by looking for similar ones in neighboring municipalities). We can at this stage (without navigation interface) present directly to the user the similar objects, by performing a simple search (elementary query with the attributes of C164) on the initial conceptual structure of conventions.…”

Section: Knowledge Discovery: Examplesmentioning

confidence: 99%

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Answering Complex Queries on Legal Networks: A Direct and a Structured IR Approaches

Mimouni

Nazarenko

Salotti

2018

Lecture Notes in Computer Science

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This paper highlights the benefit of semantic information retrieval in legal networks. User queries get more complex when they combine constraints on semantic content and intertextual links between documents. Comparing two methods of search in legal collection networks, we present new functionalities of search and browsing. Relying on a structured representation of the collection graph, the first approach allows for approximate answers and knowledge discovery. The second one supports richer semantics and scalability but offers fewer search functionalities. We indicate how those approaches could be combined to get the best of both.

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Section: Exploration Facilitiesmentioning

confidence: 99%

Section: Knowledge Discovery: Examplesmentioning

confidence: 99%

Answering Complex Queries on Legal Networks: A Direct and a Structured IR Approaches

Mimouni

Nazarenko

Salotti

2018

Lecture Notes in Computer Science

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“…ECFD for product selection Conceptual structures are good candidates for free datasets navigation, as shown in [11,6]. In [11,6], the conceptual structures contain both objects and properties, while the ECFD only contains the properties (here features).…”

Section: Study Of Pcms Variability Structurementioning

confidence: 99%

“…In [11,6], the conceptual structures contain both objects and properties, while the ECFD only contains the properties (here features). However, the ECFD still is a navigation structure, constrained by the groups, which allows to select products and, while doing this selection, be able to switch to close products, more easily than in a tree structure, by using the AC-poset relationships, especially in complex cases like PCMs 24, 29.…”

Section: Study Of Pcms Variability Structurementioning

confidence: 99%

Analyzing Variability in Product Families through Canonical Feature Diagrams

Carbonnel¹,

Huchard²,

Nebut³

2017

International Conferences on Software Engineering and Knowledge Engineering

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Product line engineering aims to reduce the cost and effort to develop new related softwares, while increasing the software quality and the software scope. Variability analysis and modeling is a key issue in this approach. Several representations were proposed, including feature models (FMs) and product comparison matrices (PCMs). While PCMs are useful for presenting products in a tabular form, for their understanding and manipulation, it helps to switch to a graphical view. FMs are graphical views, but they are not canonical (i.e., several equivalent FMs can represent a same PCM) and user intervention is necessary to ensure the extraction of a meaningful FM from PCMs. In this paper, we investigate the benefits of a new structure, which captures variability in a canonical graphical representation. We outline its construction and we give insights about its shape and use when it is used as an alternative representation of wikipedia PCMs in the domain of software.

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“…An Object can be extended to incorporate additional metadata fields. For instance, in the applications A Place for Art [8] and The Brooklyn Museum Canvas [7], we store museum metadata using instances of APlaceForArtObject and a Brook-lynMuseumObject -both of which inherit from Object. It is possible to create many descendant classes of Objects in a single application, allowing a single app to display and process metadata from multiple sources.…”

Section: Introductionmentioning

confidence: 99%

Context and Natural Language in Formal Concept Analysis

Wray

Eklund

2017

Modeling and Using Context

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Formal Concept Analysis is an unsupervised clustering technique that accepts as inputs a set of objects with their corresponding attributes (called a formal context) and produces a mathematical lattice containing sets of objects and attributes at each position in the lattice. Each point in the lattice is called a formal concept representing the set of objects sharing the same values for a certain set of attributes; each sub-concept in the lattice is a subset of the objects of the concepts above it and a super-set of the attributes above it. This paper concerns generating meaningful natural language fragments from the list of attributes of a formal concept using a predicate map. It therefore address the important problem of determining natural language context in formal concept analysis.

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Exploring the Information Space of Cultural Collections Using Formal Concept Analysis

Cited by 7 publications

References 12 publications

Answering Complex Queries on Legal Networks: A Direct and a Structured IR Approaches

Answering Complex Queries on Legal Networks: A Direct and a Structured IR Approaches

Analyzing Variability in Product Families through Canonical Feature Diagrams

Context and Natural Language in Formal Concept Analysis

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