• Aucun résultat trouvé

Towards Personalized Support for Ontology Selection

N/A
N/A
Protected

Academic year: 2022

Partager "Towards Personalized Support for Ontology Selection"

Copied!
6
0
0

Texte intégral

(1)

Marwa Abdelreheim

1

, Friederike Klan

2

, Taysir Soliman

1

1 Department of Information Systems, Faculty of Computer and Information Sciences, Assiut University, Egypt

{marwa.abdelrehem, taysser.soliman}@fci.aun.edu.eg

2 Institute of Computer Science, Friedrich-Schiller-University Jena, Germany

[email protected]

d

H.1.m

; H.3.1

— ; H.3.3

Keywords

1 2

.

,

.

no

(2)

.

1. Scope definition:

responsible for defining

2.

3. n,

do

4. Ontology assessment and verification:

outputted ontology is assessed and verified.

2.2

.

3,

4

,

.

. ff

3 4

coverage was the most widely used one, as it can filter out the specified keywords. Also, popularity of ontologie

,

extensibility and flexibility to change .

2.4

.

(3)

profiles are manually defined by users or automatically generated from other users’ data. The main limitation

2.5

their user's needs and requirements). They also don’t allow for

1. The tool is used for scientific purposes and includes

3. uppo

4. ff

5.

improve the results according to user’s preferences 1.

x x xx

x x x x

x x x x

x x x x

x x x x

x x x x

x x x x x

x x

x x x x

on

x x x x x x

x x x x x

x x x

(4)

.

on

(5)

3.2

two

1.

2.

x x

.

6

, pp. 9–34.

[2] Ding, L., Finin, T., Joshi, A., Pan, R., Cost, R. S., Peng, 2004.Swoogle : A

, pp. 10–1145.

WATSON :

125 140

, .

.

925.

.

(6)

2005

, 2016.

210.

61 76.

1043 1061.

Références

Documents relatifs

3.16 Total numbers of various species of Carabidae collected in rutabaga undersown with clover or bare between July 17 and October 30. 63 3.17 Mean number of Ptero,{tichlls

We focus on estimating a research area of a researcher/user by finding a unique identity in digital libraries and social networks and by analyse of public metadata of their

For each group, the following data are calculated: the similarity percentage between the choices of the leader and the group final decision (Leader); the sim- ilarity percentage

This paper explores how a model of user characteristics could be utilized to tailor information graphics to individual users, thus enabling users with varying degrees of skill

WEAPON is a WfMS that proposes how a workflow designer must define, on one hand, the taxonomy of relevant data of the domain and the taxonomy of users which can participate in

The users are given access to the generated personas through system UIs where they can interact with the personas, including selecting each persona and viewing their information

According to the literature of AP task in social media, the methods that build high level features based on relationships among groups of authors have been useful for boosting

As shown in Figure 4, the NS-M answers the query about the context by exploiting a set-wise primitive which returns all the supersets of the selected division, whereas the INS-M does