WEBI 2013 Abstracts


Full Papers
Paper Nr: 3
Title:

Indexing Multimedia Content for Textual Querying: A Multimodal Approach

Authors:

Abdesalam Amrane, Hakima Mellah, Youssef Amghar and Rachid Aliradi

Abstract: Multimedia retrieval approaches are classified into three categories: those using textual information, and those using low-level information and those that combine different information extracted from multimedia. Each approach has its advantages and disadvantages as well to improving multimedia retrieval systems. The recent works are oriented towards multimodal approaches. It is in this context that we propose an approach that combines the surrounding text with the information extracted from the visual content of multimedia and represented in the same repository in order to allow querying multimedia content based on keywords or concepts. Each word contained in queries or in description of multimedia is disambiguated by using the WordNet in order to define its semantic concept.

Paper Nr: 4
Title:

Estimating Time Requirements for Web Input Elements

Authors:

Ludger Martin

Abstract: How do you know whether a website or Web application is usable? What you need is statistics about how the website is used. Such statistics usually include information about how much time a web user spends on a website. But to know whether those dwell times are acceptable you will need reference values. This paper provides such reference values based on a research study. After a detailed discussion of the study’s results, a table is presented, which provides reference values for any kind of HTML/HTML5 input elements. This table can be used to estimate the time it will take a user to fill in a form.

Paper Nr: 5
Title:

User Interest Extraction based on Weighted Tags

Authors:

Saida Kichou, Hakima Mellah, Imene Lasbeur and Imen Abdelouahid

Abstract: Collaborative tagging systems are based on assigning keywords freely chosen by users, which promotes ressources sharing and organization by the way and improves the information retrieval. The tags allocation by users is illustrated particularly in sites sharing photos or videos (Flickr, YouTube). As navigations and clicks, tags can be good indicators of the user's interests. In this paper, we examine the limitations of previous tag-based profile extraction. We believe that for a better result, tags of a resource must represent well its content. Existing systems consider ‘Popularity’ as the unique criterion to judge the tag effectiveness. But it does not always reflect its importance and representativeness to the resource. In this paper, we propose a novel approach based on tag strength to represent a user. In which we introduce weighted tags based on user expertise.

Paper Nr: 8
Title:

A Complex Network Approach for Evaluating Query Similarity Metrics

Authors:

Rushed Kanawati

Abstract: Query similarity is a core function in many information retrieval applications. A wide variety of similarity metrics can be defined, varying from simple term-based similarities to complex document (result) based similarities. However, no clear evaluation measurement of these different query similarity functions is yet provided. In this paper we show that effective similarity functions induce scale-free -similarity graphs.

Paper Nr: 9
Title:

Enhancing Query Expansion for Tag-based Social Image Retrieval

Authors:

Amel Ksibi, Anis Ben Ammar and Chokri Ben Amar

Abstract: Recently, extensive research efforts have been dedicated to tag-based social image search which enables users to formulate their queries using tags. However, tag queries are often ambiguous and typically short yielding to retrieve irrelevant images in top ranked list. To overcome this problem, an effective strategy is to produce diverse images in top ranking list covering various aspects of the query. In this context, we propose a Multi-view Concept-based Query Expansion (MVCQE) process, using a predefined list of semantic concepts and following three main steps. First, we harvest social knowledge to capture different contexts related to the query. Second, we perform a Multi-view Concepts weighting by applying concept-based query expansion for the initial query and for each of its contexts. Third, we select the most representative concepts using an adaptive threshold with respect to the dispersion of concept weights. Experiments using ambiguous queries over the NUS-WIDE dataset confirm the effectiveness of our process to improve the diversification compared to well known query expansion approaches . . .

Paper Nr: 12
Title:

Business Ontologies Modelling for Communities of Handicraft Women

Authors:

Valérie Monfort, Ikmel Hamdi, Rahma Dhaouadi and Achraf Ben Miled

Abstract: Social networks are websites or platforms which bring together users in various online communities. Social networking on the Internet capitalizes on the Web’s latent structure as a meta-network of social connections to boost computer-supported collaboration in conjunction with the use of Semantic Web metadata. The Semantic Web effort is in an ideal position to make Social Web sites interoperable. Applying Semantic Web frameworks including SIOC (Se-mantically Interlinked Online Communities) and FOAF (Friend-of-a-Friend) to the Social Web can lead to a Social Semantic Web, creating a network of inter-linked and semantically rich knowledge. Moreover, communities can be profes-sionals who want to share knowledge, to sell their production, to communicate and to collaborate. We are involved in a research project which aims to study the ability of handicraft women to use new technologies. In this paper, we show the manner we elicit and we model knowledge with several business ontologies.

Short Papers
Paper Nr: 6
Title:

Aggregated Search Techniques Usability

Authors:

Kamal Bal, Youssef Amghar, Adbessamed Réda Ghoamri and Hakima Mellah

Abstract: The complexity issued from information seeking requires providing end-users with tools in order to obtain relevant information from heterogeneous sources and organize these pieces of information in an understandable and a coherent way. Aggregated search is a new information retrieval paradigm that aims to gather information from different sources and present them in a single interface. In this paper, we study the different aggregation techniques used in this information retrieval context and attempt to determine suitable use situation for each aggregation technique.

Paper Nr: 7
Title:

Automatic Constructing OWL Ontology from Relational Database Schema

Authors:

Ines Fayech and Habib Ounalli

Abstract: In this paper we present a new tool, called DB_DOOWL, for creating domain ontology from relational database schema (RDBS). In contrast with existing transformation approaches, we propose a generic solution based on automatic instantiation of a specified meta-ontology. This later is an owl ontology which describes any database structure. A prototype of our proposed tool is im-plemented based on Jena in Java in order to demonstrate its feasibility.

Paper Nr: 10
Title:

Selecting Web Services “On the Fly” According to Dynamic Social Communities Creation

Authors:

Abdelmalek Metrouh and Valérie Monfort

Abstract: Service selection is a central challenge not only in the context of a Service Oriented Architecture and SaaS (Software as a Service) but also in social Web. Once functionally sufficient services have been selected, a further selection based on non-functional properties (NFPs) becomes essential in meeting the requirements and preferences expressed by users’ communities. Moreover, communities can dynamically be created and services can at run time be associ-ated. This paper aims to propose an overview of research works in (dynamic) services selection and focuses on social Web. Finally, it aims defining an ap-proach for service allocation “on the fly” according to dynamic creation of social Web communities.

Paper Nr: 11
Title:

Towards Ontology-based Context Aware Mobile Social Networks

Authors:

Maha Maalej, Achraf Mtibaa and Faïez Gargouri

Abstract: Due to the increasing progress of context-aware computing, we expose the importance of using context-aware mobile technologies to access social networks. Exploring knowledge in the social networks is a challenge caused by the exploding size of data in these networks. Thus, using ontologies better fits this challenge. We propose, in this paper, an approach to combine these technologies (context, mobile and ontology) together to have a contextualized ontology helping to assist a mobile user in his information retrieval from the social networks. We end up by giving emphasis to our future works.