Maricela Bravo

Onto Design Graphics (ODG): A Graphical Notation to Standardize Ontology Design

Ontology design is a complex task that requires the use of some graphical tools to assist the ontology developer. Although there have been great advances in ontology engineering research, a standard graphical notation has not been adopted yet. In this paper we propose a graphical notation for ontology design aiming at facilitating to share and reuse ontology designs between ontology users. Some authors propose the mapping of ontology elements with Unified Modeling Language (UML) components. However, a direct association between UML elements and ontology design issues does not exist. OntoDesign Graphics is an easy to learn graphical notation that it is used for displaying visually the elements of the ontology design, facilitating the design and integration of other designs clearly and efficiently.

Natural Language Processing Techniques for the Extraction of Semantic Information in Web Services

With the increase in the number of Web services and the value they are taking, discovery of services that meet the criteria of users becomes a major challenge. Currently the discovery process lacks of well-defined semantics, therefore it is difficult to obtain the non explicit meaning of services, such as functionality. In order to provide an accurate solution to the problem described above, in this paper we evaluate two natural language processing (NLP) techniques to extract semantic information from textual descriptions of Web services: linguistic patterns and extraction rules. Both techniques are implemented and compared in order to select the best alternative to our problem. This information will be useful for enhancing semantically the discovery process of services. We implemented a simulation environment for experimentation, and designed a set of experiments to show the applicability of our solution approach. Results of the tests show that the linguistic patterns are better than extraction rules.

Ontology to represent similarity relations between public web services

Currently Internet is largely populated with Web services offered by different providers and published in various Web repositories. However, public available Web services still suffer from problems that have been widely discussed, such as the lack of functional semantics. This lack of semantics makes very difficult the automatic discovery and invocation of public Web services, even when the system integrator can obtain a copy of the WSDL file. This paper describes an ontological approach for discovering similarity relations between public Web services. The objective of this work is to extract relevant data that is coded into service descriptions, calculate similarity measures between them, represent discovered similarities in an ontological form, and execute inference. Experimental results show that the overall process towards the automation of public Web services discovery based on ontology population and structural similarity measures is feasible.

Entity-based Opinion Mining from Spanish Tweets.

Networking service has grown in the last years and therefore, users generate large amounts of data about entities, where they can express opinions about them. This paper presents an approach for opinion mining based on entities, which belong to banks, musicians and automobiles. Our approach uses machine learning techniques in order to classify Spanish tweets into three categories positives, negatives and neutral. A Support Vector Machine (SVM) and the bag of word model is used to obtain the corresponding class given a tweet. Our experimentation shows promising results and they validate that entity-based opinion mining is

Techno Neuro Pedagogy System: An Instructional Design Methodology for Customized Online Courses (Virtual Customized Environment Learning)

The Techno Neuro Pedagogy System (TNPS) is a systemic process with interrelated activities that allows you to create environments that facilitate the mediation processes on knowledge construction in virtual environments. Similarly to life cycle in software development, it consists of eight phases: analysis, design, development, testing, implementation, documentation, maintenance, and evaluation. TNPS incorporates a life cycle model of incremental and iterative software development that is an essential part of software engineering. TNPS integrates Education, Neuroscience and Technological dimensions, which facilitate the development of cognitive profile of student thinking in order to customize his/her learning activities. In our experiments, an increment in the weights of thinking style used by the students on a Structured Programming course was observed.

Phrase-Based Semantic Textual Similarity for Linking Researchers

Researchers need to establish networks with colleagues that work similar topics, frequently, they are looking similar works by exploring free text in scientific publications in order to update them with the recent state of the art. They read the abstracts and decide whether or not it is a related and relevant work. Therefore, this paper presents an approach for linking researchers based on measuring the similarity between the abstracts of their scientific publications in English. Our approach discovers ontological relationships between free text scientific publications using statistical and semantic similarity measures. An evaluation of a gold standard data set is presented, it has shown an average of 0.6399 for Pearson product-moment correlation coefficient.