Fiches

Reconciling Expressivity and Usability in Information Access

Contenu

Titre

Reconciling Expressivity and Usability in Information Access

Date de soumission

12 février 2017, 06:40:00 +00:00

Créateur

Sébastien Ferré

Est référencé par

VWXSH82K

Résumé

In many domains where information access plays
a central role, there is a gap between expert users who can ask
complex questions through formal query languages (e.g., SQL), and
lay users who either are dependent on expert users, or must restrict
themselves to ask simpler questions (e.g., keyword search). Because
of the formal nature of those languages, there seems to be an
unescapable trade-off between expressivity and usability in
information systems. The objective of this thesis is to present a
number of results and perspectives that show that the expressivity
of formal languages can be reconciled with the usability of
widespread information systems (e.g., browsing, Faceted Search
(FS)). The final aim of this work is to empower people with the
capability to produce, explore, and analyze their data in a powerful
way.

We have proposed a number of theories and implementations to better
reconcile expressivity and usability, and applied them to a number
of contexts going from file systems to the Semantic Web. In this
thesis, we introduce an unifying framework inspired by Formal
Concept Analysis (FCA) to factor out the main ideas of all those
results: Abstract Conceptual Navigation (ACN). The principle of ACN
is to guide users by letting them navigate in a conceptual
space where places are concepts connected by navigation
links. Concepts are characterized by a formal query, and are made of
two parts: an extension and an intension. The extension
is made of query results while the intension is made of the query
itself and an index of query increments over results. Finally,
navigation links are formally defined as query transformations. The
conceptual space is not static but is induced by concrete data, and
evolves with it. ACN therefore combines the expressivity of
formal query languages with the guidance of conceptual
navigation. The readability of queries is improved by
verbalizing them to (or parsing them from) a Controlled Natural
Language (CNL). Readability and guidance together support usability
by speaking user's language, and by providing a systematic
assistance.

Type

Habilitation à diriger des recherches

Date

November 2014

uri

https://hal.inria.fr/tel-01100292

Source

HAL Archives Ouvertes

is compiled by

Lucky Semiosis

is in semantic relation with

expressivity

usability

accès à l'information

information access

Complexité

244

Date de modification

8 septembre 2023, 06:53:06 +00:00

Détails de la complexité

Physique,1,,,,,15,15

Physique,2,,,,,21,42

Actant,2,,,,,2,4

Concept,1,,,,,14,14

Concept,2,,,,,25,50

Rapport,1,1,Physique,Concept,properties,14,14

Rapport,1,1,Physique,Physique,values,14,14

Rapport,1,1,Physique,Actant,dcterms:creator,1,1

Rapport,2,2,Actant,Concept,properties,9,18

Rapport,2,2,Actant,Physique,values,9,18

Rapport,1,1,Physique,Actant,cito:isCompiledBy,1,1

Rapport,1,1,Physique,Concept,skos:semanticRelation,4,4

Rapport,2,2,Concept,Concept,properties,12,24

Rapport,2,2,Concept,Physique,values,12,24

Rapport,1,1,Physique,Physique,uri,1,1

Totaux de la complexité

Physique,2,1,2,36,57

Actant,1,2,2,2,4

Concept,2,1,2,39,64

Rapport,10,1,2,77,119

Existence,15,1,2,154,244

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