Hala Skaf-Molli

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Hala Skaf-Molli is an author.

Publications

Only those publications related to wikis are shown here.
Title Keyword(s) Published in Language DateThis property is a special property in this wiki. Abstract R C
BlueFinder: Recommending wikipedia links using DBpedia properties DBpedia
Recommendation
Wikipedia
Proceedings of the 3rd Annual ACM Web Science Conference, WebSci 2013 English 2013 DBpedia knowledge base has been built from data extracted from Wikipedia. However, many existing relations among resources in DBpedia are missing links among articles from Wikipedia. In some cases, adding these links into Wikipedia will enrich Wikipedia content and therefore will enable better navigation. In previous work, we proposed PIA algorithm that predicts the best link to connect two articles in Wikipedia corresponding to those related by a semantic property in DB-pedia and respecting the Wikipedia convention. PIA calculates this link as a path query. After introducing PIA results in Wikipedia, most of them were accepted by the Wikipedia community. However, some were rejected because PIA predicts path queries that are too general. In this paper, we report the BlueFinder collaborative filtering algorithm that fixes PIA miscalculation. It is sensible to the specificity of the resource types. According to the conducted experimentation we found out that BlueFinder is a better solution than PIA because it solves more cases with a better recall. Copyright 2013 ACM. 0 0
Collecting interaction traces in distributed semantic wikis Distributed semantic wikis
Interaction traces
Model of trace
Trace collection process
Trace-based reasoning
User assistance
ACM International Conference Proceeding Series English 2013 In the Kolow project, our general objective is to develop an assistance engine suitable for distributed applications. In order to provide contextualized and relevant assistance, we feed the assistance engine with interaction traces. Interaction traces record events occurring while users are interacting with applications. These traces become containers of valuable knowledge to providing assistance. Collecting interaction traces is a challenging issue that has been thoroughly studied in the context of local applications. In contrast, few approaches focus on collecting interaction traces in distributed applications. Yet, when applications are distributed, collecting interaction traces is even more challenging because new difficulties arise, such as data synchronization and multi-synchronous collaboration. In this paper, we propose a model and a tool for collecting traces in a distributed environment. The originality of the model is that it is tailored to fit distributed applications. We implemented the model in Collectra, a tool to collect interaction traces in distributed web applications. Collectra collects interaction traces and stores them in a dedicated trace-base management system. We report on the experiments we have conducted in order to evaluate performances of Collectra (both response time and memory space). Results of the experiments show that Collectra performs well and that it can be used to support the assistance tasks carried out by the assistance engine. Copyright 0 0
From DBpedia to Wikipedia: Filling the gap by discovering Wikipedia conventions DBpedia
Wikipedia
Wikipedia Conventions
Proceedings - 2012 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2012 English 2012 Many relations existing in DBpedia are missing in Wikipedia yielding up an information gap between the semantic web and the social web. Inserting these missing relations requires to automatically discover Wikipedia conventions. From pairs linked by a property p in DBpedia, we find path queries that link the same pairs in Wikipedia. We make the hypothesis that the shortest path query with maximal containment captures the Wikipedia convention for p. We computed missing links and conventions for different DBpedia queries. Next, we inserted some missing links according to computed conventions in Wikipedia and evaluated Wikipedians feedback. Nearly all contributions has been accepted. In this paper, we detail the path indexing algorithms, the results of evaluations and give some details about social feedback. 0 0
Improving wikipedia with DBpedia DBpedia
Path query
Wikipedia
WWW'12 - Proceedings of the 21st Annual Conference on World Wide Web Companion English 2012 DBpedia is the semantic mirror of Wikipedia. DBpedia extracts information from Wikipedia and stores it in a semantic knowledge base. This semantic feature allows complex semantic queries, which could infer new relations that are missing in Wikipedia. This is an interesting source of knowledge to increase Wikipedia content. But, what is the best way to add these new relations following the Wikipedia conventions? In this paper, we propose a path indexing algorithm (PIA) which takes the resulting set of a DBPedia query and discovers the best representative path in Wikipedia. We evaluate the algorithm with real data sets from DBpedia. Copyright is held by the International World Wide Web Conference Committee (IW3C2). 0 0
Knowledge continuous integration process (K-CIP) Continuous integration process
Knowledge management
Ontology
Semantic wiki
WWW'12 - Proceedings of the 21st Annual Conference on World Wide Web Companion English 2012 Social semantic web creates read/write spaces where users and smart agents collaborate to produce knowledge readable by humans and machines. An important issue concerns the ontology evolution and evaluation in man-machine collaboration. How to perform a change on ontologies in a social semantic space that currently uses these ontologies through requests ? In this paper, we propose to implement a continuous knowledge integration process named K-CIP. We take advantage of man-machine collaboration to transform feedback of people into tests. This paper presents how K-CIP can be deployed to allow fruitful man-machine collaboration in the context of the WikiTaaable system. Copyright is held by the International World Wide Web Conference Committee (IW3C2). 0 0
User assistance for collaborative knowledge construction Distributed semantic wikis
Traces
User assistance
WWW'12 - Proceedings of the 21st Annual Conference on World Wide Web Companion English 2012 In this paper, we study tools for providing assistance to users in distributed spaces. More precisely, we focus on the activity of collaborative construction of knowledge, supported by a network of distributed semantic wikis. Assisting the users in such an activity is made necessary mainly by two factors: the inherent complexity of the tools supporting that activity, and the collaborative nature of the activity, involving many interactions between users. In this paper we focus on the second aspect. For this, we propose to build an assistance tool based on users interaction traces. This tool will provide a contextualized assistance by leveraging the valuable knowledge contained in traces. We discuss the issue of assistance in our context and we show the different types of assistance that we intend to provide through three scenarios. We highlight research questions raised by this preliminary study. Copyright is held by the International World Wide Web Conference Committee (IW3C2). 0 0
DSMW: Distributed Semantic MediaWiki Lecture Notes in Computer Science English 2010 DSMW is an extension to Semantic Mediawiki (SMW), it allows to create a network of SMW servers that share common semantic wiki pages. DSMW users can create communication channels between servers and use a publish-subscribe approach to manage the change propagation. DSMW synchronizes concurrent updates of shared semantic pages to ensure their consistency. It offers new collaboration modes to semantic wiki users and supports dataflow-oriented processes. 0 0
Human computer collaboration to improve annotations in semantic wikis Automatic annotation
Recommender system
Semantic wiki
WEBIST 2010 - Proceedings of the 6th International Conference on Web Information Systems and Technology English 2010 Semantic wikis are promising tools for producing structured and unstructured data. However, they suffer from a lack of user provided semantic annotations, resulting in a loss of efficiency, despite of their high potential. We propose a system that suggests automatically computed annotations to users in peer to peer semantic wikis. Users only have to validate, complete, modify, refuse or ignore these suggested annotations. Therefore, the annotation task becomes easier, more users will provide annotations. The system is based on collaborative filtering recommender systems, it does not exploit the content of the pages but the usage made on these pages by the users. The resulting semantic wikis contain several kinds of annotations with different status: human, computer or human-computed provided annotations. 0 0
Human-machine collaboration for enriching semantic wikis using formal concept analysis Formal concept analysis
Human-machine collaboration
Semantic wiki
CEUR Workshop Proceedings English 2010 Semantic wikis are new generation of collaborative tools. They allow to embed semantic annotations in the wiki content. These annotations allow to better organize and structure the wiki contents. It is then possible for users to build knowledge understandable by humans and computers. By this way, machines are allowed to produce or update semantic wiki pages as humans can do. In this paper, we propose a new smart agent based on Formal Concept Analysis. This smart agent can compute automatically category trees based on defined semantic properties. In order to reduce human-machine collaboration problems, humans just validate changes proposed by the smart agent. A distributed version of wiki is used to ensure consistency of the content during the validation process. 0 0
Using DSMW to build a network of semantic mediawiki servers CEUR Workshop Proceedings English 2010 DSMW is an extension to Semantic Mediawiki (SMW), it allows to create a network of SMW servers that share common semantic wiki pages. DSMW users can create communication channels between servers and use a publish-subscribe approach to manage the change propagation. DSMW synchronizes concurrent updates of shared semantic pages to ensure their consistency. It offers new collaboration modes to semantic wiki users and supports dataflow-oriented processes. 0 0
Multi-synchronous collaborative semantic wikis Lecture Notes in Computer Science English 2009 Semantic wikis have opened an interesting way to mix Web 2.0 advantages with the Semantic Web approach. However, compared to other collaborative tools, wikis do not support all collaborative editing mode such as offline work or multi-synchronous editing. The lack of multi-synchronous supports in wikis is a problematic, especially, when working with semantic wikis. In these systems, it is often important to change multiple pages simultaneous in order to refactor the semantic wiki structure. In this paper, we present a new model of semantic wiki called Multi-Synchronous Semantic Wiki (MS2W). This model extends semantic wikis with multi-synchronous support that allows to create a P2P network of semantic wikis. Semantic wiki pages can be replicated on several semantic servers. The MS2W ensures CCI consistency on these pages relying on the Logoot algorithm. 0 0
Peer-to-Peer Semantic Wikis DEXA English 2009 0 0
Personal navigation in semantic wikis CEUR Workshop Proceedings English 2009 In this paper, we propose a personal navigation approach to Semantic Wikis. In semantic wikis, wikis pages are annotated with semantic data to facilitate research and navigation. The navigation is collaborative designed and shared by every user. However, individuals involved in a collaborative knowledge building activity need to customize the navigation according to her personal needs. In order to overcome this, we extend semantic wikis with personal annotations facilities to support personal navigation. This approach differs from other adaptive navigation approaches, because of the personalization is carried out by the user herself. We have implemented and validated these ideas on the top of a P2P semantic wiki. 0 0
Supporting personal semantic annotations in P2P semantic wikis Lecture Notes in Computer Science English 2009 In this paper, we propose to extend Peer-to-Peer Semantic Wikis with personal semantic annotations. Semantic Wikis are one of the most successful Semantic Web applications. In semantic wikis, wikis pages are annotated with semantic data to facilitate the navigation, information retrieving and ontology emerging. Semantic data represents the shared knowledge base which describes the common understanding of the community. However, in a collaborative knowledge building process the knowledge is basically created by individuals who are involved in a social process. Therefore, it is fundamental to support personal knowledge building in a differentiated way. Currently there are no available semantic wikis that support both personal and shared understandings. In order to overcome this problem, we propose a P2P collaborative knowledge building process and extend semantic wikis with personal annotations facilities to express personal understanding. In this paper, we detail the personal semantic annotation model and show its implementation in P2P semantic wikis. We also detail an evaluation study which shows that personal annotations demand less cognitive efforts than semantic data and are very useful to enrich the shared knowledge base. 0 0
Undo in peer-to-peer semantic wikis CEUR Workshop Proceedings English 2009 The undo mechanism is an essential feature in collaborative editing systems. Most popular semantic wikis support a revert feature, some provide an undo feature to remove any modification at any time. However this undo feature does not always succeed. Supporting the undo mechanism for P2P semantic wikis has never been tackled. In this paper, we present an undo approach for Swooki, the first P2P semantic wiki.We identify the problems to resolve in order to achieve such mechanism for P2P semantic wikis.We give the definition of the undo and the properties that must ensure. This approach allows both a revert and a permanent successful undo. 0 0
WIKITAAABLE: A semantic wiki as a blackboard for a textual case-based reasoning system CEUR Workshop Proceedings English 2009 Semantic wikis enable a community of users to produce formalized knowledge readable and usable by machines. To take one step further, one can use a semantic wiki as a blackboard allowing humans and machines to interact in order to build knowledge that is useful for both humans and machines. In this paper, we present a case study of the use of a semantic wiki (Semantic Media Wiki) as a blackboard to manage culinary data and knowledge. This case study is performed within the context of the TAAABLE application, a case-based reasoning web system aiming at solving cooking problems on the basis of existing recipes. With WIKITAAABLE, an evolution of TAAABLE based on a semantic wiki, we show how a semantic wiki assists users in their knowledge management tasks by taking into account user feedback. The issues related to the integration of several knowledge management mechanisms in a single application are discussed at the end of the paper. 0 0
SWOOKI: A peer-to-peer semantic wiki CEUR Workshop Proceedings English 2008 In this paper, we propose to combine the advantages of semantic wikis and P2P wikis in order to design a peer-to-peer semantic wiki. The main challenge is how to merge wiki pages that embed semantic annotations. Merging algorithms used in P2P wiki systems have been designed for linear text and not for semantic data. In this paper, we evaluate two optimistic replication algorithms to build a P2P semantic wiki. 0 0