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In recent years, the development of legal ontologies has increased significantly with the diversity of their applications known as complicated due to the complexity of their domain. In the preliminary part of this paper, we introduce the major steps in the learning process, then we present some works interested in Arabic ontology learning. The rest of the paper serves to propose our approach for ontology...
Structured knowledge bases are an increasingly important way for storing and retrieving information. Within such knowledge bases, an important search task is finding similar entities based on one or more example entities. We present QBEES, a novel framework for defining entity similarity based only on structural features, so-called aspects, of the entities, that naturally model potential interest...
SemioTag is an approach towards tagging that utilizes the semiotic sign categories icon, index, and symbol as classification structures to be used by users during the annotation and search of images within social media-oriented repositories. We compared the influence of this approach on the tagging and querying behaviour of users, with respect to usability, efficiency, and user experience, between...
As the number of environmental sensors grows, it becomes increasingly difficult to manage, store and process all these sources of information. Several context representation schemes try to standardize this information, however none of them have been widely adopted. Instead of proposing yet another context representation scheme, we discuss efficient ways to deal with this diversity of representation...
We present a method for the automatic classification of text documents into a dynamically defined set of topics of interest. The proposed approach requires only a domain ontology and a set of user-defined classification topics, specified as contexts in the ontology. Our method is based on measuring the semantic similarity of the thematic graph created from a text document and the ontology sub-graphs...
In this paper, we represent a dynamic context-dependent weighting method for vector space model. A meaning is relatively decided by a context dynamically. A vector space model, including latent semantic indexing (LSI), etc. relatively measures correlations of each target thing that represents in each vector. However, the vectors of each target thing in almost method of the vector space models are...
Music documents retrieval system in most websites are useful for users who want to search sheet music which consists of chords, notes, or lyrics in a printable sheet format. With the growth of music repositories, music classification based on musical similarity can help users to find the same kind of songs. One important aspect to define music similarity measure is chord progression. In this paper,...
With the development of ICT the need for automated question-answering systems is becoming increasingly important. Question-answering systems are still under development and experimentation. This paper is an overview of the research area that deals with question-answering systems; it explains the concept of question-answering systems and points out the problems that occur during their development....
In this paper we present a framework for automatic exploitation of news in stock trading strategies. Events are extracted from news messages presented in free text without annotations. We test the introduced framework by deriving trading strategies based on technical indicators and impacts of the extracted events. The strategies take the form of rules that combine technical trading indicators with...
With the growing needs of dimension reduction for term selection and recommendation and the up to date trends in natural language processing modules integrated in existing architectures and multiple semantic web system such as search engine. The existence of multiples tokenization techniques of the same text represents a persistent problem in current semantic search engine practice and create a non-trivial...
Most information seeking and retrieval systems are designed for individual use, and prototype collaborative systems are too limited to support use in heterogeneous environments. Easy Access to Digital Libraries (ezDL) attempts to bridge this gap by integrating familiar information sharing and management functions with communication tools into a flexible, scalable network in which individuals and groups...
This paper gives a introduction about several theoretical models of information behavior and information seeking behavior. These representative models in Western countries include Dervin's theory and model of sense-making which is accepted in information studies as the metatheory to investigate information behavior, Ellis' model of information seeking behavior, Kuhlthau's model of information seeking...
This paper conceptually proposes a context-aware recommendation system that gives/recommends optimal information for users based on 1) the content of an image using content-based image retrieval engines, 2) the contextual information of its similar images on the Web, and 3) user context, namely users' situations such as their location, we are aiming to extract the detailed information to the text-unpresentable...
Existing similar software variants, developed by ad-hoc reuse technique such as left clone-and-own right, represent a starting point to build a software product line (SPL) core assets. To re-engineer such legacy software variants into an SPL for systematic reuse, it is important to be able to identify a mapping between features and their implementing source code elements in different variants. Information...
Information Technology brought many applications of Information Retrieval as simple as possible through Web and other Digital Information Access Environment. There is a demand in building Applications of IR in Local languages, which allows common people with minimal knowledge in at least one language to avail the information services. Word mismatch is a common problem in IR System Applications. The...
In this paper we present an incremental framework aimed at extracting field information from administrative document images in the context of a Digital Mail-room scenario. Given a single training sample in which the user has marked which fields have to be extracted from a particular document class, a document model representing structural relationships among words is built. This model is incrementally...
The ineffectiveness of information retrieval systems is mostly caused by the inaccurate query formed by a few keywords that reflect actual user information need. One well known technique to overcome this limitation is Automatic Query Expansion (AQE), whereby the user's original query is improved by adding new features with a related meaning. It has long been accepted that capturing term associations...
The representation of texts in the current methods of information extraction, and TextMining in general, does not always reflect the dependencies between descriptors. In the vector representation, for example, descriptors related are often considered to be either totally independent or totally similar. This type of approach can be considered as a coarse resolution of the document. We propose in this...
To access the knowledge contained in developer communication, such as forum posts, it is useful to determine automatically the code elements referred to in the discussions. We propose a novel traceability recovery approach to extract the code elements contained in various documents. As opposed to previous work, our approach does not require an index of code elements to find links, which makes it particularly...
The literature reports that source code lexicon plays a paramount role in program comprehension, especially when software documentation is scarce, outdated or simply not available. In source code, a significant proportion of vocabulary can be either acronyms and-or abbreviations or concatenation of terms that can not be identified using consistent mechanisms such as naming conventions. It is, therefore,...
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