A semantic-based approach to attain reproducibility of computational environments in scientific workflows: a case study

Reproducible research in scientific workflows is often addressed by tracking the provenance of the produced results. While this approach allows inspecting intermediate and final results, improves understanding, and permits replaying a workflow execution, it does not ensure that the computational environment is available for subsequent executions to reproduce the experiment. In this work, we propose describing the resources involved in the execution of an experiment using a set of semantic vocabularies, so as to conserve the computational environment. We define a process for documenting the workflow application, management system, and their dependencies based on 4 domain ontologies. We then conduct an experimental evaluation using a real workflow application on an academic and a public Cloud platform. Results show that our approach can reproduce an equivalent execution environment of a predefined virtual machine image on both computing platforms.

A Focused Crawler in order to Get Semantic Web Resources (CSR)

This paper presents a Focused Crawler in order to Get Semantic Web Resources (CSR). Structured data web are available in formats such as Extensible Markup Language (XML), Resource Description Framework (RDF) and Ontology Web Language (OWL) that can be used for processing. One of the main challenges for performing a manual search and download semantic web resources is that this task consumes a lot of time. Our research work propose a focused crawler which allow to download these resources automatically and store them on disk in order to have a collection that will be used for data processing. CRS consists of three layers: (a) The User Interface Layer, (b) The Focus Crawler Layer and (c) The Base Crawler Layer. CSR uses as a selection policie the Shark-Search method. CSR was conducted with two experiments. The first one starts on December 15 2012 at 7:11 am and ends on December 16 2012 at 4:01 were obtained 448,123,537 bytes of data. The CSR ends by itself after to analyze 80,4375 seeds with an unlimited depth. CSR got 16,576 semantic resources files where the 89 % was RDF, the 10 % was XML and the 1% was OWL. The second one was based on the Web Data Commons work of the Research Group Data and Web Science at the University of Mannheim and the Institute AIFB at the Karlsruhe Institute of Technology. This began at 4:46 am of June 2 2013 and 1:37 am June 9 2013. After 162.51 hours of execution the result was 285,279 semantic resources where predominated the XML resources with 99 % and OWL and RDF with 1 % each one.

Analysis of the suitability of existing medical ontologies for building a scalable semantic interoperability solution supporting multi-site collaboration in oncology

Semantic interoperability is essential to facilitate efficient collaboration in heterogeneous multi-site healthcare environments. The deployment of a semantic interoperability solution has the potential to enable a wide range of informatics supported applications in clinical care and research both within as ingle healthcare organization and in a network of organizations. At the same time, building and deploying a semantic interoperability solution may require significant effort to carryout data transformation and to harmonize the semantics of the information in the different systems. Our approach to semantic interoperability leverages existing healthcare standards and ontologies, focusing first on specific clinical domains and key applications, and gradually expanding the solution when needed. An important objective of this work is to create a semantic link between clinical research and care environments to enable applications such as streamlining the execution of multi-centric clinical trials, including the identification of eligible patients for the trials. This paper presents an analysis of the suitability of several widely-used medical ontologies in the clinical domain: SNOMED-CT, LOINC, MedDRA, to capture the semantics of the clinical trial eligibility criteria, of the clinical trial data (e.g., Clinical Report Forms), and of the corresponding patient record data that would enable the automatic identification of eligible patients. Next to the coverage provided by the ontologies we evaluate and compare the sizes of the sets of relevant concepts and their relative frequency to estimate the cost of data transformation, of building the necessary semantic mappings, and of extending the solution to new domains. This analysis shows that our approach is both feasible and scalable.

A Semantic Approach to Problem-Based Learning with Conceptual Models

El aprendizaje basado en problemas se lleva aplicando con éxito durante las últimas tres décadas en un amplio rango de entornos de aprendizaje. Este enfoque educacional consiste en proponer problemas a los estudiantes de forma que puedan aprender sobre un dominio particular mediante el desarrollo de soluciones a dichos problemas. Si esto se aplica al modelado de conocimiento, y en particular al basado en Razonamiento Cualitativo, las soluciones a los problemas pasan a ser modelos que representan el compotamiento del sistema dinámico propuesto. Por lo tanto, la tarea del estudiante en este caso es acercar su modelo inicial (su primer intento de representar el sistema) a los modelos objetivo que proporcionan soluciones al problema, a la vez que adquieren conocimiento sobre el dominio durante el proceso. En esta tesis proponemos KaiSem, un método que usa tecnologías y recursos semánticos para guiar a los estudiantes durante el proceso de modelado, ayudándoles a adquirir tanto conocimiento como sea posible sin la directa supervisión de un profesor. Dado que tanto estudiantes como profesores crean sus modelos de forma independiente, estos tendrán diferentes terminologías y estructuras, dando lugar a un conjunto de modelos altamente heterogéneo. Para lidiar con tal heterogeneidad, proporcionamos una técnica de anclaje semántico para determinar, de forma automática, enlaces entre la terminología libre usada por los estudiantes y algunos vocabularios disponibles en la Web de Datos, facilitando con ello la interoperabilidad y posterior alineación de modelos. Por último, proporcionamos una técnica de feedback semántico para comparar los modelos ya alineados y generar feedback basado en las posibles discrepancias entre ellos. Este feedback es comunicado en forma de sugerencias individualizadas que el estudiante puede utilizar para acercar su modelo a los modelos objetivos en cuanto a su terminología y estructura se refiere. ABSTRACT Problem-based learning has been successfully applied over the last three decades to a diverse range of learning environments. This educational approach consists of posing problems to learners, so they can learn about a particular domain by developing solutions to them. When applied to conceptual modeling, and particularly to Qualitative Reasoning, the solutions to problems are models that represent the behavior of a dynamic system. Therefore, the learner's task is to move from their initial model, as their first attempt to represent the system, to the target models that provide solutions to that problem while acquiring domain knowledge in the process. In this thesis we propose KaiSem, a method for using semantic technologies and resources to scaffold the modeling process, helping the learners to acquire as much domain knowledge as possible without direct supervision from the teacher. Since learners and experts create their models independently, these will have different terminologies and structure, giving rise to a pool of models highly heterogeneous. To deal with such heterogeneity, we provide a semantic grounding technique to automatically determine links between the unrestricted terminology used by learners and some online vocabularies of the Web of Data, thus facilitating the interoperability and later alignment of the models. Lastly, we provide a semantic-based feedback technique to compare the aligned models and generate feedback based on the possible discrepancies. This feedback is communicated in the form of individualized suggestions, which can be used by the learner to bring their model closer in terminology and structure to the target models.

Onyx: A Linked Data approach to emotion representation

Extracting opinions and emotions from text is becoming increasingly important, especially since the advent of micro-blogging and social networking. Opinion mining is particularly popular and now gathers many public services, datasets and lexical resources. Unfortunately, there are few available lexical and semantic resources for emotion recognition that could foster the development of new emotion aware services and applications. The diversity of theories of emotion and the absence of a common vocabulary are two of the main barriers to the development of such resources. This situation motivated the creation of Onyx, a semantic vocabulary of emotions with a focus on lexical resources and emotion analysis services. It follows a linguistic Linked Data approach, it is aligned with the Provenance Ontology, and it has been integrated with the Lexicon Model for Ontologies (lemon), a popular RDF model for representing lexical entries. This approach also means a new and interesting way to work with different theories of emotion. As part of this work, Onyx has been aligned with EmotionML and WordNet-Affect.

SemQuaRE - An extension of the SQuaRE quality model for the evaluation of semantic technologies

To correctly evaluate semantic technologies and to obtain results that can be easily integrated, we need to put evaluations under the scope of a unique software quality model. This paper presents SemQuaRE, a quality model for semantic technologies. SemQuaRE is based on the SQuaRE standard and describes a set of quality characteristics specific to semantic technologies and the quality measures that can be used for their measurement. It also provides detailed formulas for the calculation of such measures. The paper shows that SemQuaRE is complete with respect to current evaluation trends and that it has been successfully applied in practice.

Un estudio del adjetivo en un corpus de textos escritos en inglés y español pertenecientes al discurso de especialidad de las Tecnologías de la Información y las Comunicaciones

Esta investigación se enmarca dentro de los denominados lenguajes de especialidad que para esta tesis será el de las Tecnologías de la Información y la Comunicación (TIC). De todos los aspectos relacionados con el estudio de estos lenguajes que pudieran tener interés lingüístico ha primado el análisis del componente terminológico. Tradicionalmente la conceptualización de un campo del saber se representaba mayoritariamente a través del elemento nominal, así lo defiende la Teoría General de la Terminología (Wüster, 1968). Tanto la lexicología como la lexicografía han aportado importantes contribuciones a los estudios terminológicos para la identificación del componente léxico a través del cual se transmite la información especializada. No obstante esos primeros estudios terminológicos que apuntaban al sustantivo como elmentos denominativo-conceptual, otras teorías más recientes, entre las que destacamos la Teoría Comunicativa de la Terminología (Cabré, 1999) identifican otras estructuras morfosintácticas integradas por otros elementos no nominales portadores igualmente de esa carga conceptual. A partir de esta consideración, hemos seleccionado para este estudio el adjetivo relacional en tanto que representa otra categoría gramatical distinta al sustantivo y mantiene un vínculo con éste debido a su procedencia. Todo lo cual puede suscitar cierto interés terminológico. A través de esta investigación, nos hemos propuesto demostrar las siguientes hipótesis: 1. El adjetivo relacional aporta contenido especializado en su asociación con el componente nominal. 2. El adjetivo relacional es portador de un valor semántico que hace posible identificar con más precisión la relación conceptual de los elementos -adjetivo y sustantivo - de la combinación léxica resultante, especialmente en algunas formaciones ambiguas. 3. El adjetivo relacional, como modificador natural del sustantivo al que acompaña, podría imponer cierta restricción en sus combinaciones y, por tanto, hacer una selección discriminada de los integrantes de la combinación léxica especializada. Teniendo en cuenta las anteriores hipótesis, esta investigación ha delimitado y caracterizado el segmento léxico objeto de estudio: la ‘combinación léxica especializada (CLE)’ formalmente representada por la estructura sintáctica [adjR+n], en donde adjR es el adjetivo y n el sustantivo al que acompaña. De igual forma hemos descrito el marco teórico desde el que abordar nuestro análisis. Se trata de la teoría del Lexicón Generatvio (LG) y de la representación semántica (Pustojovsky, 1995) que propone como explicación de la generación de significados. Hemos analizado las distintas estructuras de representación léxica y en especial la estructura qualia a través de la cual hemos identificado la relación semántica que mantienen los dos ítems léxicos [adjR+n] de la estructura sintáctica de nuestro estudio. El estudio semántico de las dos piezas léxicas ha permitido, además, comprobar el valor denominativo del adjetivo en la combinación. Ha sido necesario elaborar un corpus de textos escritos en inglés y español pertenecientes al discurso de especialidad de las TIC. Este material ha sido procesado para nuestros fines utilizando distintas herramientas electrónicas. Se ha hecho uso de lexicones electrónicos, diccionarios online generales y de especialidad y corpus de referencia online, estos últimos para poder eventualmente validad nuetros datos. Asimismo se han utilizado motores de búsqueda, entre ellos WordNet Search 3.1, para obtener la información semántica de nuestros elementos léxicos. Nuestras conclusiones han corroborado las hipótesis que se planteaban en esta tesis, en especial la referente al valor denominativo-conceptual del adjetivo relacional el cual, junto con el sustantivo al que acompaña, forma parte de la representación cognitiva del lenguaje de especialidad de las TIC. Como continuación a este estudio se proponen sugerencias sobre líneas futuras de investigación así como el diseño de herramientas informáticas que pudieran incorporar estos datos semánticos como complemento de los ítems léxicos dotados de valor denominativo-conceptual. ABSTRACT This research falls within the field of the so-called Specialized Languages which for the purpose of this study is the Information and Communication Technology (ICT) discourse. Considering their several distinguishing features terminology concentrates our interest from the point of view of linguistics. It is broadly assumed that terms represent concepts of a subject field. For the classical view of terminology (Wüster, 1968) these terms are formally represented by nouns. Both lexicology and terminology have made significant contributions to the study of terms. Later research as well as other theories on Terminology such as the Communicative Theory of Terminology (Cabré, 1993) have shown that other lexical units can also represent knowledge organization. On these bases, we have focused our research on the relational adjective which represents a functional unit different from a noun while still connected to the noun by means of its nominal root. This may have a potential terminological interest. Therefore the present research is based on the next hypotheses: 1. The relational adjective conveys specialized information when combined with the noun. 2. The relational adjective has a semantic meaning which helps understand the conceptual relationship between the adjective and the noun being modified and disambiguate certain senses of the resulting lexical combination. 3. The relational adjective may impose some restrictions when choosing the nouns it modifies. Considering the above hypotheses, this study has identified and described a multi-word lexical unit pattern [Radj+n] referred to as a Specialized Lexical Combination (SLC) linguistically realized by a relational adjective, Radj, and a noun, n. The analysis of such a syntactic pattern is addressed from the framework of the Generative Lexicon (Pustojovsky, 1995). Such theory provides several levels of semantic description which help lexical decomposition performed generatively. These levels of semantic representation are connected through generative operations or generative devices which account for the compositional interpretation of any linguistic utterance in a given context. This study analyses these different levels and focuses on one of them, i.e. the qualia structure since it may encode the conceptual meaning of the syntactic pattern [Radj+n]. The semantic study of these two lexical items has ultimately confirmed the conceptual meaning of the relational adjective. A corpus made of online ICT articles from magazines written in English and Spanish – some being their translations - has been used for the word extraction. For this purpose some word processing software packages have been employed. Moreover online general language and specialized language dictionaries have been consulted. Search engines, namely WordNet Search 3.1, have been also exploited to find the semantic information of our lexical units. Online reference corpora in English and Spanish have been used for a contrastive analysis of our data. Finally our conclusions have confirmed our initial hypotheses, i.e. relational adjectives are specialized lexical units which together with the nouns are part of the knowledge representation of the ICT subject field. Proposals for new research have been made together with some other suggestions for the design of computer applications to visually show the conceptual meaning of certain lexical units.

Onomástica, ecología y territorio. La toponimia de La Rioja como indicador biogeográfico y de la dinámica del paisaje forestal

Se presenta un trabajo de investigación toponímica en La Rioja con enfoque geobotánico. La premisa de partida es que la toponimia relacionada con especies y agrupaciones vegetales, productos forestales y usos del suelo proporciona información valiosa sobre la corología y la dinámica de la vegetación al ser clasificada y analizada con criterios biogeográficos y ecológicos. Se ha elegido la región riojana como zona piloto, al concurrir distintos tipos fisonómicos de vegetación y un conjunto muy diverso de comunidades vegetales representativas del paisaje peninsular. Se añade una larga historia de usos agrícolas en la llanura del Ebro que contrasta con la predominante actividad forestal en las zonas montañosas, en particular la potenciación de los pastos para ganadería trashumante. La Rioja tiene carácter de encrucijada no sólo fitocorológica: es también tierra de fronteras políticas y transiciones lingüísticas. En el léxico y la toponimia conviven variantes puras del castellano, rasgos del romance navarro-aragonés, elementos genuinos de una variante medieval riojana, palabras mozárabes y un numeroso y significativo elenco de topónimos de origen vasco. El trabajo se inicia con unas consideraciones epistemológicas. Se establece un planteamiento de la Toponimia como ciencia interdisciplinar, la etiología de los nombres geográficos, así como su valor apelativo descriptor de los atributos del paisaje. Se enumeran los condicionantes metodológicos de la investigación toponímica y se desarrolla una reflexión sobre las particularidades de la toponimia geobotánica. Se dedica un epígrafe a reseñar estudios precedentes de toponimia botánica y ecológica y el estado actual de conocimientos sobre la toponimia de La Rioja. La delimitación superficial de los parajes designados por los nombres geográficos es clave para un análisis orientado a detectar la correspondencia entre los elementos aludidos por el topónimo y las especies y comunidades vegetales. Las áreas de distribución y presencia, así como las transformaciones del paisaje, quedan definidas en superficies acotadas territorialmente. La metodología seguida se basa en la revisión exhaustiva de fuentes toponímicas ya existentes; destacadamente, los datos procedentes de la cartografía del Castro de Rústica, adscritos a polígonos con dimensión espacial. Las denominaciones de las parcelas catastrales se han complementado con los nombres geográficos del Diccionario de Toponimia Actual de La Rioja (DTALR) (González Blanco, 1987), el nomenclátor NomGeo del IGN, y algunas recopilaciones toponímicas municipales. De la base de datos conjunta se han seleccionado los topónimos con significado geobotánico. Se propone una taxonomía de grupos semánticos basada en categorías de estructura (arbolado, matorral, cubiertas herbáceas y áreas de vegetación escasa o rala) y en la adscripción a tipos de vegetación potencialmente dominantes, ordenados según una escala de higrofilia decreciente). También se reseñan topónimos referentes a usos y aprovechamientos en el medio rural: dehesas, ganadería, productos forestales y algunos cultivos agrícolas. El trabajo reúne en un repertorio sistemático los datos toponímicos, acopiados por comarcas y términos municipales. Se incluye la relación de nombres geográficos encontrados por campos nocionales y se comentan los nombres vernáculos que les han dado origen y su etimología. Quedan señalados los topónimos georreferenciados y asignados a entidades superficiales en la cartografía digital catastral, que se ha superpuesto a mapas forestales a escalas 1:200.000 y 1:50.000, en cuya elaboración participamos. El análisis ha permitido definir “topónimo externo” como el recinto catastral en que la especie o agrupación aludida no tiene presencia en la vegetación actual, al menos como dominante. Los topónimos externos más significativos de cada grupo han sido analizados describiendo la cubierta vegetal actual correspondiente, lo que permite interpretar, junto con las características fisiográficas del paraje, las causas posibles de ausencia del elemento aludido, teniendo en cuenta criterios generales de mesología, de dinámica de la vegetación y de la historia de la acción humana. El trabajo se cierra con un capítulo de conclusiones generales, conceptuales y metodológicas, así como una relación de líneas de profundización de la investigación que quedan apuntadas. Se completa con una relación de fuentes y referencias bibliográficas fundamentales. ABSTRACT This paper presents a study of the toponymy of La Rioja with a specific focus on place names reflecting the region’s geobotany. Its underlying premise is that the toponymy associated with plant species and communities, forest products and land uses can provide valuable information about the chorology and vegetation dynamics when classified and analysed using biogeographical and ecological criteria. La Rioja has been chosen for this pilot study because it concentrates vegetation types of distinct physiognomy and a highly diverse set of plant communities that can be considered representative of the vegetation of the peninsula’s landscapes. This combines with a long history of different agricultural uses on the Ebro plain that contrast with the predominance of forestry activity in the more mountainous areas, in particular the promotion of pasture for livestock transhumance. Indeed, La Rioja is not only a crossroads in terms of its phytochorology, but it is also a land of political boundaries and language transitions. Coexisting in its lexicon and toponymy, we find pure Castilian variants, features from the Romance language of Navarro-Aragonese, genuine elements of the medieval variant of the Riojan dialect, words of Mozarabic and a large and significant list of place names of Basque origin. The paper begins by outlining a number of epistemological considerations and establishes an interdisciplinary approach to toponymy, the aetiology of geographical names, and their value in the descriptive naming of the features of a landscape. It continues by enumerating the methodological determinants of toponymic research and reflects on the specific characteristics of geobotanical toponyms. The next section is dedicated to examining previous studies of botanical and ecological place names and providing a state-of-the-art review of the toponymy of La Rioja. Delimiting the sites designated by the geographical names is essential to any analysis designed to detect the correspondence between the elements alluded to by the toponyms and plant species and communities. These areas of distribution and presence, as well as the landscape changes, are defined in terms of spatially delimited surface areas. The methodology adopted involves an exhaustive review of existing toponymic sources; in particular, data obtained from the maps of the Rustic Cadastre, assigned to spatial polygons. The names of these cadastral parcels are complemented by the geographical names taken from the Diccionario de Toponimia Actual de La Rioja (DTALR) (González Blanco, 1987); the gazetteer – NomGeo, published by Spain’s Instituto Geográfico Nacional; and, various municipal list of toponyms. Place names with a geobotanical meaning were then selected from this joint database. The paper proposes a taxonomy of semantic groups based on structural categories (namely wooded areas, brushland, grassy areas and areas of scanty or sparse vegetation) and assignment to the potentially dominant type of vegetation (ordered on a scale of decreasing hygrophilic trends). Place names referring to land uses and practices in rural areas – including, pasture, livestock, forest products and some agricultural crops – are also described. The study produces a systematic list of toponyms ordered by counties and municipalities. The geographical names are organised by notional fields and the vernacular names that have given rise to them and their etymology are discussed. The toponyms are georeferenced and assigned to surface elements on the digital cadastral map, superimposed on forest maps at scales of 1:200,000 and 1:50,000, in the production of which the authors participated. The analysis has allowed us to define “external toponyms” as those cadastral parcels in which the plant species or group alluded to is no longer present in the vegetation, at least as the dominant type. The most significant external toponyms in each group have been analysed by describing the corresponding, present-day vegetation cover, which allows us to interpret, along with the physiographic features of the site, the possible causes of the absence of the aforementioned element, bearing in mind general criteria of mesology, vegetation dynamics and the history of human action. The paper finishes by offering a number of general conceptual and methodological conclusions, and a list of areas that future research can usefully examine. The study is supplemented with a list of sources and key references.

Using WYSIWYM to Create an Open-ended Interface for the Semantic Grid

Publisher PDF

A Semantic Workflow Mechanism to Realize Experimental Goals and Constraints

Postprint

Semantic Support for Computational Land-Use Modelling

Postprint

Cultural universals: Measuring the semantic structure of emotion terms in English and Japanese

Research is presented on the semantic structure of 15 emotion terms as measured by judged-similarity tasks for monolingual English-speaking and monolingual and bilingual Japanese subjects. A major question is the relative explanatory power of a single shared model for English and Japanese versus culture-specific models for each language. The data support a shared model for the semantic structure of emotion terms even though some robust and significant differences are found between English and Japanese structures. The Japanese bilingual subjects use a model more like English when performing tasks in English than when performing the same task in Japanese.

Role of left inferior prefrontal cortex in retrieval of semantic knowledge: A reevaluation

A number of neuroimaging findings have been interpreted as evidence that the left inferior frontal gyrus (IFG) subserves retrieval of semantic knowledge. We provide a fundamentally different interpretation, that it is not retrieval of semantic knowledge per se that is associated with left IFG activity but rather selection of information among competing alternatives from semantic memory. Selection demands were varied across three semantic tasks in a single group of subjects. Functional magnetic resonance imaging signal in overlapping regions of left IFG was dependent on selection demands in all three tasks. In addition, the degree of semantic processing was varied independently of selection demands in one of the tasks. The absence of left IFG activity for this comparison counters the argument that the effects of selection can be attributed solely to variations in degree of semantic retrieval. Our findings suggest that it is selection, not retrieval, of semantic knowledge that drives activity in the left IFG.

Statistical methods for characterizing similarities and differences between semantic structures

This paper describes a variety of statistical methods for obtaining precise quantitative estimates of the similarities and differences in the structures of semantic domains in different languages. The methods include comparing mean correlations within and between groups, principal components analysis of interspeaker correlations, and analysis of variance of speaker by question data. Methods for graphical displays of the results are also presented. The methods give convergent results that are mutually supportive and equivalent under suitable interpretation. The methods are illustrated on the semantic domain of emotion terms in a comparison of the semantic structures of native English and native Japanese speaking subjects. We suggest that, in comparative studies concerning the extent to which semantic structures are universally shared or culture-specific, both similarities and differences should be measured and compared rather than placing total emphasis on one or the other polar position.

Neural basis of lexical-semantic processing and integration of symbolic gestures with words

Three studies investigated the relation between symbolic gestures and words, aiming at discover the neural basis and behavioural features of the lexical semantic processing and integration of the two communicative signals. The first study aimed at determining whether elaboration of communicative signals (symbolic gestures and words) is always accompanied by integration with each other and, if present, this integration can be considered in support of the existence of a same control mechanism. Experiment 1 aimed at determining whether and how gesture is integrated with word. Participants were administered with a semantic priming paradigm with a lexical decision task and pronounced a target word, which was preceded by a meaningful or meaningless prime gesture. When meaningful, the gesture could be either congruent or incongruent with word meaning. Duration of prime presentation (100, 250, 400 ms) randomly varied. Voice spectra, lip kinematics, and time to response were recorded and analyzed. Formant 1 of voice spectra, and mean velocity in lip kinematics increased when the prime was meaningful and congruent with the word, as compared to meaningless gesture. In other words, parameters of voice and movement were magnified by congruence, but this occurred only when prime duration was 250 ms. Time to response to meaningful gesture was shorter in the condition of congruence compared to incongruence. Experiment 2 aimed at determining whether the mechanism of integration of a prime word with a target word is similar to that of a prime gesture with a target word. Formant 1 of the target word increased when word prime was meaningful and congruent, as compared to meaningless congruent prime. Increase was, however, present for whatever prime word duration. In the second study, experiment 3 aimed at determining whether symbolic prime gesture comprehension makes use of motor simulation. Transcranial Magnetic Stimulation was delivered to left primary motor cortex 100, 250, 500 ms after prime gesture presentation. Motor Evoked Potential of First Dorsal Interosseus increased when stimulation occurred 100 ms post-stimulus. Thus, gesture was understood within 100ms and integrated with the target word within 250 ms. Experiment 4 excluded any hand motor simulation in order to comprehend prime word. The effect of the prior presentation of a symbolic gesture on congruent target word processing was investigated in study 3. In experiment 5, symbolic gestures were presented as primes, followed by semantically congruent target word or pseudowords. In this case, lexical-semantic decision was accompanied by a motor simulation at 100ms after the onset of the verbal stimuli. Summing up, the same type of integration with a word was present for both prime gesture and word. It was probably subsequent to understanding of the signal, which used motor simulation for gesture and direct access to semantics for words. However, gesture and words could be understood at the same motor level through simulation if words were preceded by an adequate gestural context. Results are discussed in the prospective of a continuum between transitive actions and emblems, in parallelism with language; the grounded/symbolic content of the different signals evidences relation between sensorimotor and linguistic systems, which could interact at different levels.