OntoTag - A Linguistic and Ontological Annotation Model Suitable for the Semantic Web

OntoTag - A Linguistic and Ontological Annotation Model Suitable for the Semantic Web 1. INTRODUCTION. LINGUISTIC TOOLS AND ANNOTATIONS: THEIR LIGHTS AND SHADOWS Computational Linguistics is already a consolidated research area. It builds upon the results of other two major ones, namely Linguistics and Computer Science and Engineering, and it aims at developing computational models of human language (or natural language, as it is termed in this area). Possibly, its most well-known applications are the different tools developed so far for processing human language, such as machine translation systems and speech recognizers or dictation programs. These tools for processing human language are commonly referred to as linguistic tools. Apart from the examples mentioned above, there are also other types of linguistic tools that perhaps are not so well-known, but on which most of the other applications of Computational Linguistics are built. These other types of linguistic tools comprise POS taggers, natural language parsers and semantic taggers, amongst others. All of them can be termed linguistic annotation tools. Linguistic annotation tools are important assets. In fact, POS and semantic taggers (and, to a lesser extent, also natural language parsers) have become critical resources for the computer applications that process natural language. Hence, any computer application that has to analyse a text automatically and ‘intelligently’ will include at least a module for POS tagging. The more an application needs to ‘understand’ the meaning of the text it processes, the more linguistic tools and/or modules it will incorporate and integrate. However, linguistic annotation tools have still some limitations, which can be summarised as follows: 1. Normally, they perform annotations only at a certain linguistic level (that is, Morphology, Syntax, Semantics, etc.). 2. They usually introduce a certain rate of errors and ambiguities when tagging. This error rate ranges from 10 percent up to 50 percent of the units annotated for unrestricted, general texts. 3. Their annotations are most frequently formulated in terms of an annotation schema designed and implemented ad hoc. A priori, it seems that the interoperation and the integration of several linguistic tools into an appropriate software architecture could most likely solve the limitations stated in (1). Besides, integrating several linguistic annotation tools and making them interoperate could also minimise the limitation stated in (2). Nevertheless, in the latter case, all these tools should produce annotations for a common level, which would have to be combined in order to correct their corresponding errors and inaccuracies. Yet, the limitation stated in (3) prevents both types of integration and interoperation from being easily achieved. In addition, most high-level annotation tools rely on other lower-level annotation tools and their outputs to generate their own ones. For example, sense-tagging tools (operating at the semantic level) often use POS taggers (operating at a lower level, i.e., the morphosyntactic) to identify the grammatical category of the word or lexical unit they are annotating. Accordingly, if a faulty or inaccurate low-level annotation tool is to be used by other higher-level one in its process, the errors and inaccuracies of the former should be minimised in advance. Otherwise, these errors and inaccuracies would be transferred to (and even magnified in) the annotations of the high-level annotation tool. Therefore, it would be quite useful to find a way to (i) correct or, at least, reduce the errors and the inaccuracies of lower-level linguistic tools; (ii) unify the annotation schemas of different linguistic annotation tools or, more generally speaking, make these tools (as well as their annotations) interoperate. Clearly, solving (i) and (ii) should ease the automatic annotation of web pages by means of linguistic tools, and their transformation into Semantic Web pages (Berners-Lee, Hendler and Lassila, 2001). Yet, as stated above, (ii) is a type of interoperability problem. There again, ontologies (Gruber, 1993; Borst, 1997) have been successfully applied thus far to solve several interoperability problems. Hence, ontologies should help solve also the problems and limitations of linguistic annotation tools aforementioned. Thus, to summarise, the main aim of the present work was to combine somehow these separated approaches, mechanisms and tools for annotation from Linguistics and Ontological Engineering (and the Semantic Web) in a sort of hybrid (linguistic and ontological) annotation model, suitable for both areas. This hybrid (semantic) annotation model should (a) benefit from the advances, models, techniques, mechanisms and tools of these two areas; (b) minimise (and even solve, when possible) some of the problems found in each of them; and (c) be suitable for the Semantic Web. The concrete goals that helped attain this aim are presented in the following section. 2. GOALS OF THE PRESENT WORK As mentioned above, the main goal of this work was to specify a hybrid (that is, linguistically-motivated and ontology-based) model of annotation suitable for the Semantic Web (i.e. it had to produce a semantic annotation of web page contents). This entailed that the tags included in the annotations of the model had to (1) represent linguistic concepts (or linguistic categories, as they are termed in ISO/DCR (2008)), in order for this model to be linguistically-motivated; (2) be ontological terms (i.e., use an ontological vocabulary), in order for the model to be ontology-based; and (3) be structured (linked) as a collection of ontology-based triples, as in the usual Semantic Web languages (namely RDF(S) and OWL), in order for the model to be considered suitable for the Semantic Web. Besides, to be useful for the Semantic Web, this model should provide a way to automate the annotation of web pages. As for the present work, this requirement involved reusing the linguistic annotation tools purchased by the OEG research group (http://www.oeg-upm.net), but solving beforehand (or, at least, minimising) some of their limitations. Therefore, this model had to minimise these limitations by means of the integration of several linguistic annotation tools into a common architecture. Since this integration required the interoperation of tools and their annotations, ontologies were proposed as the main technological component to make them effectively interoperate. From the very beginning, it seemed that the formalisation of the elements and the knowledge underlying linguistic annotations within an appropriate set of ontologies would be a great step forward towards the formulation of such a model (henceforth referred to as OntoTag). Obviously, first, to combine the results of the linguistic annotation tools that operated at the same level, their annotation schemas had to be unified (or, preferably, standardised) in advance. This entailed the unification (id. standardisation) of their tags (both their representation and their meaning), and their format or syntax. Second, to merge the results of the linguistic annotation tools operating at different levels, their respective annotation schemas had to be (a) made interoperable and (b) integrated. And third, in order for the resulting annotations to suit the Semantic Web, they had to be specified by means of an ontology-based vocabulary, and structured by means of ontology-based triples, as hinted above. Therefore, a new annotation scheme had to be devised, based both on ontologies and on this type of triples, which allowed for the combination and the integration of the annotations of any set of linguistic annotation tools. This annotation scheme was considered a fundamental part of the model proposed here, and its development was, accordingly, another major objective of the present work. All these goals, aims and objectives could be re-stated more clearly as follows: Goal 1: Development of a set of ontologies for the formalisation of the linguistic knowledge relating linguistic annotation. Sub-goal 1.1: Ontological formalisation of the EAGLES (1996a; 1996b) de facto standards for morphosyntactic and syntactic annotation, in a way that helps respect the triple structure recommended for annotations in these works (which is isomorphic to the triple structures used in the context of the Semantic Web). Sub-goal 1.2: Incorporation into this preliminary ontological formalisation of other existing standards and standard proposals relating the levels mentioned above, such as those currently under development within ISO/TC 37 (the ISO Technical Committee dealing with Terminology, which deals also with linguistic resources and annotations). Sub-goal 1.3: Generalisation and extension of the recommendations in EAGLES (1996a; 1996b) and ISO/TC 37 to the semantic level, for which no ISO/TC 37 standards have been developed yet. Sub-goal 1.4: Ontological formalisation of the generalisations and/or extensions obtained in the previous sub-goal as generalisations and/or extensions of the corresponding ontology (or ontologies). Sub-goal 1.5: Ontological formalisation of the knowledge required to link, combine and unite the knowledge represented in the previously developed ontology (or ontologies). Goal 2: Development of OntoTag’s annotation scheme, a standard-based abstract scheme for the hybrid (linguistically-motivated and ontological-based) annotation of texts. Sub-goal 2.1: Development of the standard-based morphosyntactic annotation level of OntoTag’s scheme. This level should include, and possibly extend, the recommendations of EAGLES (1996a) and also the recommendations included in the ISO/MAF (2008) standard draft. Sub-goal 2.2: Development of the standard-based syntactic annotation level of the hybrid abstract scheme. This level should include, and possibly extend, the recommendations of EAGLES (1996b) and the ISO/SynAF (2010) standard draft. Sub-goal 2.3: Development of the standard-based semantic annotation level of OntoTag’s (abstract) scheme. Sub-goal 2.4: Development of the mechanisms for a convenient integration of the three annotation levels already mentioned. These mechanisms should take into account the recommendations included in the ISO/LAF (2009) standard draft. Goal 3: Design of OntoTag’s (abstract) annotation architecture, an abstract architecture for the hybrid (semantic) annotation of texts (i) that facilitates the integration and interoperation of different linguistic annotation tools, and (ii) whose results comply with OntoTag’s annotation scheme. Sub-goal 3.1: Specification of the decanting processes that allow for the classification and separation, according to their corresponding levels, of the results of the linguistic tools annotating at several different levels. Sub-goal 3.2: Specification of the standardisation processes that allow (a) complying with the standardisation requirements of OntoTag’s annotation scheme, as well as (b) combining the results of those linguistic tools that share some level of annotation. Sub-goal 3.3: Specification of the merging processes that allow for the combination of the output annotations and the interoperation of those linguistic tools that share some level of annotation. Sub-goal 3.4: Specification of the merge processes that allow for the integration of the results and the interoperation of those tools performing their annotations at different levels. Goal 4: Generation of OntoTagger’s schema, a concrete instance of OntoTag’s abstract scheme for a concrete set of linguistic annotations. These linguistic annotations result from the tools and the resources available in the research group, namely • Bitext’s DataLexica (http://www.bitext.com/EN/datalexica.asp), • LACELL’s (POS) tagger (http://www.um.es/grupos/grupo-lacell/quees.php), • Connexor’s FDG (http://www.connexor.eu/technology/machinese/glossary/fdg/), and • EuroWordNet (Vossen et al., 1998). This schema should help evaluate OntoTag’s underlying hypotheses, stated below. Consequently, it should implement, at least, those levels of the abstract scheme dealing with the annotations of the set of tools considered in this implementation. This includes the morphosyntactic, the syntactic and the semantic levels. Goal 5: Implementation of OntoTagger’s configuration, a concrete instance of OntoTag’s abstract architecture for this set of linguistic tools and annotations. This configuration (1) had to use the schema generated in the previous goal; and (2) should help support or refute the hypotheses of this work as well (see the next section). Sub-goal 5.1: Implementation of the decanting processes that facilitate the classification and separation of the results of those linguistic resources that provide annotations at several different levels (on the one hand, LACELL’s tagger operates at the morphosyntactic level and, minimally, also at the semantic level; on the other hand, FDG operates at the morphosyntactic and the syntactic levels and, minimally, at the semantic level as well). Sub-goal 5.2: Implementation of the standardisation processes that allow (i) specifying the results of those linguistic tools that share some level of annotation according to the requirements of OntoTagger’s schema, as well as (ii) combining these shared level results. In particular, all the tools selected perform morphosyntactic annotations and they had to be conveniently combined by means of these processes. Sub-goal 5.3: Implementation of the merging processes that allow for the combination (and possibly the improvement) of the annotations and the interoperation of the tools that share some level of annotation (in particular, those relating the morphosyntactic level, as in the previous sub-goal). Sub-goal 5.4: Implementation of the merging processes that allow for the integration of the different standardised and combined annotations aforementioned, relating all the levels considered. Sub-goal 5.5: Improvement of the semantic level of this configuration by adding a named entity recognition, (sub-)classification and annotation subsystem, which also uses the named entities annotated to populate a domain ontology, in order to provide a concrete application of the present work in the two areas involved (the Semantic Web and Corpus Linguistics). 3. MAIN RESULTS: ASSESSMENT OF ONTOTAG’S UNDERLYING HYPOTHESES The model developed in the present thesis tries to shed some light on (i) whether linguistic annotation tools can effectively interoperate; (ii) whether their results can be combined and integrated; and, if they can, (iii) how they can, respectively, interoperate and be combined and integrated. Accordingly, several hypotheses had to be supported (or rejected) by the development of the OntoTag model and OntoTagger (its implementation). The hypotheses underlying OntoTag are surveyed below. Only one of the hypotheses (H.6) was rejected; the other five could be confirmed. H.1 The annotations of different levels (or layers) can be integrated into a sort of overall, comprehensive, multilayer and multilevel annotation, so that their elements can complement and refer to each other. • CONFIRMED by the development of: o OntoTag’s annotation scheme, o OntoTag’s annotation architecture, o OntoTagger’s (XML, RDF, OWL) annotation schemas, o OntoTagger’s configuration. H.2 Tool-dependent annotations can be mapped onto a sort of tool-independent annotations and, thus, can be standardised. • CONFIRMED by means of the standardisation phase incorporated into OntoTag and OntoTagger for the annotations yielded by the tools. H.3 Standardisation should ease: H.3.1: The interoperation of linguistic tools. H.3.2: The comparison, combination (at the same level and layer) and integration (at different levels or layers) of annotations. • H.3 was CONFIRMED by means of the development of OntoTagger’s ontology-based configuration: o Interoperation, comparison, combination and integration of the annotations of three different linguistic tools (Connexor’s FDG, Bitext’s DataLexica and LACELL’s tagger); o Integration of EuroWordNet-based, domain-ontology-based and named entity annotations at the semantic level. o Integration of morphosyntactic, syntactic and semantic annotations. H.4 Ontologies and Semantic Web technologies (can) play a crucial role in the standardisation of linguistic annotations, by providing consensual vocabularies and standardised formats for annotation (e.g., RDF triples). • CONFIRMED by means of the development of OntoTagger’s RDF-triple-based annotation schemas. H.5 The rate of errors introduced by a linguistic tool at a given level, when annotating, can be reduced automatically by contrasting and combining its results with the ones coming from other tools, operating at the same level. However, these other tools might be built following a different technological (stochastic vs. rule-based, for example) or theoretical (dependency vs. HPS-grammar-based, for instance) approach. • CONFIRMED by the results yielded by the evaluation of OntoTagger. H.6 Each linguistic level can be managed and annotated independently. • REJECTED: OntoTagger’s experiments and the dependencies observed among the morphosyntactic annotations, and between them and the syntactic annotations. In fact, Hypothesis H.6 was already rejected when OntoTag’s ontologies were developed. We observed then that several linguistic units stand on an interface between levels, belonging thereby to both of them (such as morphosyntactic units, which belong to both the morphological level and the syntactic level). Therefore, the annotations of these levels overlap and cannot be handled independently when merged into a unique multileveled annotation. 4. OTHER MAIN RESULTS AND CONTRIBUTIONS First, interoperability is a hot topic for both the linguistic annotation community and the whole Computer Science field. The specification (and implementation) of OntoTag’s architecture for the combination and integration of linguistic (annotation) tools and annotations by means of ontologies shows a way to make these different linguistic annotation tools and annotations interoperate in practice. Second, as mentioned above, the elements involved in linguistic annotation were formalised in a set (or network) of ontologies (OntoTag’s linguistic ontologies). • On the one hand, OntoTag’s network of ontologies consists of − The Linguistic Unit Ontology (LUO), which includes a mostly hierarchical formalisation of the different types of linguistic elements (i.e., units) identifiable in a written text; − The Linguistic Attribute Ontology (LAO), which includes also a mostly hierarchical formalisation of the different types of features that characterise the linguistic units included in the LUO; − The Linguistic Value Ontology (LVO), which includes the corresponding formalisation of the different values that the attributes in the LAO can take; − The OIO (OntoTag’s Integration Ontology), which  Includes the knowledge required to link, combine and unite the knowledge represented in the LUO, the LAO and the LVO;  Can be viewed as a knowledge representation ontology that describes the most elementary vocabulary used in the area of annotation. • On the other hand, OntoTag’s ontologies incorporate the knowledge included in the different standards and recommendations for linguistic annotation released so far, such as those developed within the EAGLES and the SIMPLE European projects or by the ISO/TC 37 committee: − As far as morphosyntactic annotations are concerned, OntoTag’s ontologies formalise the terms in the EAGLES (1996a) recommendations and their corresponding terms within the ISO Morphosyntactic Annotation Framework (ISO/MAF, 2008) standard; − As for syntactic annotations, OntoTag’s ontologies incorporate the terms in the EAGLES (1996b) recommendations and their corresponding terms within the ISO Syntactic Annotation Framework (ISO/SynAF, 2010) standard draft; − Regarding semantic annotations, OntoTag’s ontologies generalise and extend the recommendations in EAGLES (1996a; 1996b) and, since no stable standards or standard drafts have been released for semantic annotation by ISO/TC 37 yet, they incorporate the terms in SIMPLE (2000) instead; − The terms coming from all these recommendations and standards were supplemented by those within the ISO Data Category Registry (ISO/DCR, 2008) and also of the ISO Linguistic Annotation Framework (ISO/LAF, 2009) standard draft when developing OntoTag’s ontologies. Third, we showed that the combination of the results of tools annotating at the same level can yield better results (both in precision and in recall) than each tool separately. In particular, 1. OntoTagger clearly outperformed two of the tools integrated into its configuration, namely DataLexica and FDG in all the combination sub-phases in which they overlapped (i.e. POS tagging, lemma annotation and morphological feature annotation). As far as the remaining tool is concerned, i.e. LACELL’s tagger, it was also outperformed by OntoTagger in POS tagging and lemma annotation, and it did not behave better than OntoTagger in the morphological feature annotation layer. 2. As an immediate result, this implies that a) This type of combination architecture configurations can be applied in order to improve significantly the accuracy of linguistic annotations; and b) Concerning the morphosyntactic level, this could be regarded as a way of constructing more robust and more accurate POS tagging systems. Fourth, Semantic Web annotations are usually performed by humans or else by machine learning systems. Both of them leave much to be desired: the former, with respect to their annotation rate; the latter, with respect to their (average) precision and recall. In this work, we showed how linguistic tools can be wrapped in order to annotate automatically Semantic Web pages using ontologies. This entails their fast, robust and accurate semantic annotation. As a way of example, as mentioned in Sub-goal 5.5, we developed a particular OntoTagger module for the recognition, classification and labelling of named entities, according to the MUC and ACE tagsets (Chinchor, 1997; Doddington et al., 2004). These tagsets were further specified by means of a domain ontology, namely the Cinema Named Entities Ontology (CNEO). This module was applied to the automatic annotation of ten different web pages containing cinema reviews (that is, around 5000 words). In addition, the named entities annotated with this module were also labelled as instances (or individuals) of the classes included in the CNEO and, then, were used to populate this domain ontology. • The statistical results obtained from the evaluation of this particular module of OntoTagger can be summarised as follows. On the one hand, as far as recall (R) is concerned, (R.1) the lowest value was 76,40% (for file 7); (R.2) the highest value was 97, 50% (for file 3); and (R.3) the average value was 88,73%. On the other hand, as far as the precision rate (P) is concerned, (P.1) its minimum was 93,75% (for file 4); (R.2) its maximum was 100% (for files 1, 5, 7, 8, 9, and 10); and (R.3) its average value was 98,99%. • These results, which apply to the tasks of named entity annotation and ontology population, are extraordinary good for both of them. They can be explained on the basis of the high accuracy of the annotations provided by OntoTagger at the lower levels (mainly at the morphosyntactic level). However, they should be conveniently qualified, since they might be too domain- and/or language-dependent. It should be further experimented how our approach works in a different domain or a different language, such as French, English, or German. • In any case, the results of this application of Human Language Technologies to Ontology Population (and, accordingly, to Ontological Engineering) seem very promising and encouraging in order for these two areas to collaborate and complement each other in the area of semantic annotation. Fifth, as shown in the State of the Art of this work, there are different approaches and models for the semantic annotation of texts, but all of them focus on a particular view of the semantic level. Clearly, all these approaches and models should be integrated in order to bear a coherent and joint semantic annotation level. OntoTag shows how (i) these semantic annotation layers could be integrated together; and (ii) they could be integrated with the annotations associated to other annotation levels. Sixth, we identified some recommendations, best practices and lessons learned for annotation standardisation, interoperation and merge. They show how standardisation (via ontologies, in this case) enables the combination, integration and interoperation of different linguistic tools and their annotations into a multilayered (or multileveled) linguistic annotation, which is one of the hot topics in the area of Linguistic Annotation. And last but not least, OntoTag’s annotation scheme and OntoTagger’s annotation schemas show a way to formalise and annotate coherently and uniformly the different units and features associated to the different levels and layers of linguistic annotation. This is a great scientific step ahead towards the global standardisation of this area, which is the aim of ISO/TC 37 (in particular, Subcommittee 4, dealing with the standardisation of linguistic annotations and resources).

La Península Ibérica en el transporte masivo de mercancías entre Europa y África : futuras autopistas del mar

La competitividad del transporte de mercancías depende del estado y funcionamiento de las redes existentes y de sus infraestructuras, no del modo de transporte. En concreto, la rentabilidad o la reducción de los costes de producción del transporte marítimo se vería incrementado con el uso de buques de mayor capacidad y con el desarrollo de plataformas portuarias de distribución o puertos secos, ya que el 90% del comercio entre la Unión Europea y terceros países se realiza a través de sus puertos a un promedio de 3,2 billones de toneladas de mercancías manipuladas cada año y el 40% del tráfico intraeuropeo utiliza el transporte marítimo de corta distancia. A pesar de que los puertos europeos acogen anualmente a más de 400 millones de pasajeros, los grandes desarrollos se han producido en los puertos del norte de Europa (Róterdam, Amberes, Ámsterdam). Los países del Sur de Europa deben buscar nuevas fórmulas para ser más competitivos, ya sea mediante creación de nuevas infraestructuras o mediante refuerzo de las existentes, ofreciendo los costes de los puertos del Norte. El fomento del transporte marítimo y fluvial como alternativa al transporte por carretera, especialmente el transporte marítimo de corta distancia, ha sido impulsado por la Comisión Europea (CE) desde 2003 a través de programas de apoyo comunitario de aplicación directa a las Autopistas del Mar, a modo de ejemplo, cabría citar los programas Marco Polo I y II, los cuales contaron con una dotación presupuestaria total de 855 millones de euros para el período 2003 – 2013; en ese período de tiempo se establecieron objetivos de reducción de congestión vial y mejora del comportamiento medio ambiental del sistema de transporte de mercancías dentro de la comunidad y la potenciación de la intermodalidad. El concepto de Autopista del Mar surge en el Libro Blanco de Transportes de la Comisión Europea “La política europea de transportes de cara al 2010: La hora de la verdad” del 12 de diciembre de 2001, en el marco de una política europea para fomento y desarrollo de sistemas de transportes sostenibles. Las Autopistas del Mar consisten en rutas marítimas de corta distancia entre dos puntos, de menor distancia que por vía terrestre, en las que a través del transporte intermodal mejoran significativamente los tiempos y costes de la cadena logística, contribuyen a la reducción de accidentes, ruidos y emisiones de CO2 a la atmósfera, permite que los conductores pierdan horas de trabajo al volante y evita el deterioro de las infraestructuras terrestres, con el consiguiente ahorro en mantenimiento. La viabilidad de una Autopista del Mar depende tanto de factores de ubicación geográficos, como de características propias del puerto, pasando por los diferentes requerimientos del mercado en cada momento (energéticos, medio ambientales y tecnológicos). Existe un elemento nuevo creado por la Comisión Europea: la red transeuropea de transportes (RTE-T). En el caso de España, con sus dos accesos por los Pirineos (La Junquera e Irún) como únicos pasos terrestres de comunicación con el continente y con importantes limitaciones ferroviarias debido a los tres anchos de vía distintos, le resta competitividad frente al conjunto europeo; por el contrario, España es el país europeo con más kilómetros de costa (con más de 8.000 km) y con un emplazamiento geográfico estratégico, lo que le convierte en una plataforma logística para todo el sur de Europa, por lo que las Autopistas del Mar tendrán un papel importante y casi obligado para el desarrollo de los grandes corredores marítimos que promueve Europa. De hecho, Gijón y Vigo lo han hecho muy bien con sus respectivas líneas definidas como Autopistas del Mar y que conectan con el puerto francés de Nantes-Saint Nazaire, ya que desde ahí los camiones pueden coger rutas hacia el Norte. Paralelamente, la Unión Europea ha iniciado los pasos para el impulso de la primera Autopista del Mar que conectará España con el mercado de Reino Unido, concretamente los Puertos de Bilbao y Tilbury. Además, España e Italia sellaron un acuerdo internacional para desarrollar Autopistas del Mar entre ambos países, comprometiéndose a impulsar una docena de rutas entre puertos del litoral mediterráneo español y el italiano. Actualmente, están en funcionando los trayectos como Barcelona-Génova, Valencia-Civitavecchia y Alicante- Nápoles, notablemente más cortos por mar que por carretera. Bruselas identificó cuatro grandes corredores marítimos que podrían concentrar una alta densidad de tráfico de buques, y en dos de ellos España ya tenía desde un principio un papel crucial. La Comisión diseñó el 14 de abril de 2004, a través del proyecto West-Mos, una red de tráfico marítimo que tiene como vías fundamentales la denominada Autopista del Báltico (que enlaza Europa central y occidental con los países bálticos), la Autopista de Europa suroriental (que une el Adriático con el Jónico y el Mediterráneo más oriental) y también la Autopista de Europa occidental y la Autopista de Europa suroccidental (que enlazan España con Reino Unido y la Francia atlántica y con la Francia mediterránea e Italia, respectivamente). Para poder establecer Autopistas del Mar entre la Península Ibérica y el Norte de Europa primará especialmente la retirada de camiones en la frontera pirenaica, donde el tráfico pesado tiene actualmente una intensidad media diaria de 8.000 unidades, actuando sobre los puntos de mayor congestión, como por ejemplo los Alpes, los Pirineos, el Canal de la Mancha, las carreteras fronterizas de Francia y Euskadi, y proponiendo el traslado de las mercancías en barcos o en trenes. Por su parte, para contar con los subsidios y apoyos europeos las rutas seleccionadas como Autopistas del Mar deben mantener una serie de criterios de calidad relacionados con la frecuencia, coste “plataforma logística a plataforma logística”, simplicidad en procedimientos administrativos y participación de varios países, entre otros. Los estudios consideran inicialmente viables los tramos marítimos superiores a 450 millas, con un volumen de unas 15.000 plataformas al año y que dispongan de eficientes comunicaciones desde el puerto a las redes transeuropeas de autopistas y ferrocarril. Otro objetivo de las Autopistas del Mar es desarrollar las capacidades portuarias de forma que se puedan conectar mejor las regiones periféricas a escala del continente europeo. En lo que a Puertos se refiere, las terminales en los muelles deben contar con una línea de atraque de 250 m., un calado superior a 8 m., una rampa “ro-ro” de doble calzada, grúas portainer, y garantizar operatividad para un mínimo de dos frecuencias de carga semanales. El 28 de marzo de 2011 se publicó el segundo Libro Blanco sobre el futuro del transporte en Europa “Hoja de ruta hacia un espacio único europeo de transporte: por una política de transportes competitiva y sostenible”, donde se definió el marco general de las acciones a emprender en los próximos diez años en el ámbito de las infraestructuras de transporte, la legislación del mercado interior, la reducción de la dependencia del carbono, la tecnología para la gestión del tráfico y los vehículos limpios, así como la estandarización de los distintos mercados. Entre los principales desafíos se encuentran la eliminación de los cuellos de botella y obstáculos diversos de nuestra red europea de transporte, minimizar la dependencia del petróleo, reducir las emisiones de GEI en un 60% para 2050 con respecto a los niveles de 1990 y la inversión en nuevas tecnologías e infraestructuras que reduzcan estas emisiones de transporte en la UE. La conexión entre la UE y el norte de África provoca elevados niveles de congestión en los puntos más críticos del trayecto: frontera hispano-francesa, corredor del Mediterráneo y el paso del estrecho. A esto se le añade el hecho de que el sector del transporte por carretera está sujeto a una creciente competencia de mercado motivada por la eliminación de las barreras europeas, mayores exigencias de los cargadores, mayores restricciones a los conductores y aumento del precio del gasóleo. Por otro lado, el mercado potencial de pasajeros tiene una clara diferenciación en tipos de flujos: los flujos en el período extraordinario de la Operación Paso del Estrecho (OPE), enfocado principalmente a marroquíes que vuelven a su país de vacaciones; y los flujos en el período ordinario, enfocado a la movilidad global de la población. Por tanto, lo que se pretende conseguir con este estudio es analizar la situación actual del tráfico de mercancías y pasajeros con origen o destino la península ibérica y sus causas, así como la investigación de las ventajas de la creación de una conexión marítima (Autopista del Mar) con el Norte de África, basándose en los condicionantes técnicos, administrativos, económicos, políticos, sociales y medio ambientales. The competitiveness of freight transport depends on the condition and operation of existing networks and infrastructure, not the mode of transport. In particular, profitability could be increased or production costs of maritime transport could be reduced by using vessels with greater capacity and developing port distribution platforms or dry ports, seeing as 90% of trade between the European Union and third countries happens through its ports. On average 3,2 billion tonnes of freight are handled annualy and 40% of intra-European traffic uses Short Sea Shipping. In spite of European ports annually hosting more than 400 million passengers, there have been major developments in the northern European ports (Rotterdam, Antwerp, Amsterdam). Southern European countries need to find new ways to be more competitive, either by building new infrastructure or by strengthening existing infrastructure, offering costs northern ports. The use of maritime and river transport as an alternative to road transport, especially Short Sea Shipping, has been driven by the European Commission (EC) from 2003 through community support programs for the Motorways of the Sea. These programs include, for example, the Marco Polo I and II programs, which had a total budget of 855 million euros for the period 2003-2013. During this time objectives were set for reducing road congestion, improving the environmental performance of the freight transport system within the community and enhancing intermodal transport. The “Motorway of the Sea” concept arises in the European Commission’s Transport White Paper "European transport policy for 2010: time to decide" on 12 December 2001, as part of a European policy for the development and promotion of sustainable transport systems. A Motorway of the Sea is defined as a short sea route between two points, covering less distance than by road, which provides a significant improvement in intermodal transport times and to the cost supply chain. It contributes to reducing accidents, noise and CO2 emissions, allows drivers to shorten their driving time and prevents the deterioration of land infrastructure thereby saving on maintenance costs. The viability of a Motorway of the Sea depends as much on geographical location factors as on characteristics of the port, taking into account the different market requirements at all times (energy, environmental and technological). There is a new element created by the European Commission: the trans-European transport network (TEN-T). In the case of Spain, with its two access points in the Pyrenees (La Junquera and Irun) as the only land crossings connected to the mainland and major railway limitations due to the three different gauges, it appears less competitive compared to Europe as a whole. However, Spain is the European country with the most kilometers of coastline (over 8,000 km) and a strategic geographical location, which makes it a logistics platform for the all of Southern Europe. This is why the Motorways of the Sea will have an important role, and an almost necessary one to develop major maritime corridors that Europe supports. In fact, Gijon and Vigo have done very well with their respective sea lanes defined as Motorways of the Sea and which connect with the French port of Nantes-Saint Nazaire, as from there trucks can use nort-heading routes. In parallel, the European Union has taken the first steps to boost the first Motorway of the Sea linking Spain to the UK market, specifically the ports of Bilbao and Tilbury. Furthermore, Spain and Italy sealed an international agreement to develop Motorways of the Sea between both countries, pledging to develop a dozen routes between ports on the Spanish and Italian Mediterranean coasts. Currently, there are sea lanes already in use such as Barcelona-Genova, Valencia-Civitavecchia and Alicante-Naples, these are significantly shorter routes by sea than by road. Brussels identified four major maritime corridors that could hold heavy concentrate shipping traffic, and Spain had a crucial role in two of these from the beginning. On 14 April 2004 the Commission planned through the West-Mos project, a network of maritime traffic which includes the essential sea passages the so-called Baltic Motorway (linking Central and Western Europe with the Baltic countries), the southeast Europe Motorway (linking the Adriatic to the Ionian and eastern Mediterranean Sea), the Western Europe Motorway and southwestern Europe Motorway (that links Spain with Britain and the Atlantic coast of France and with the French Mediterranean coast and Italy, respectively). In order to establish Motorways of the Sea between the Iberian Peninsula and Northern Europe especially, it is necessary to remove trucks from the Pyrenean border, where sees heavy traffic (on average 8000 trucks per day) and addressing the points of greatest congestion, such as the Alps, the Pyrenees, the English Channel, the border roads of France and Euskadi, and proposing the transfer of freight on ships or trains. For its part, in order to receive subsidies and support from the European Commission, the routes selected as Motorways of the Sea should maintain a series of quality criteria related to frequency, costs "from logistics platform to logistics platform," simplicity in administrative procedures and participation of several countries, among others. To begin with, studies consider viable a maritime stretch of at least 450 miles with a volume of about 15,000 platforms per year and that have efficient connections from port to trans-European motorways and rail networks. Another objective of the Motorways of the Sea is to develop port capacity so that they can better connect peripheral regions across the European continent. Referring ports, the terminals at the docks must have a berthing line of 250 m., a draft greater than 8 m, a dual carriageway "ro-ro" ramp, portainer cranes, and ensure operability for a minimum of two loads per week. On 28 March 2011 the second White Paper about the future of transport in Europe "Roadmap to a Single European Transport Area – Towards a competitive and resource efficient transport system" was published. In this Paper the general framework of actions to be undertaken in the next ten years in the field of transport infrastructure was defined, including internal market legislation, reduction of carbon dependency, traffic management technology and clean vehicles, as well as the standardization of different markets. The main challenges are how to eliminate bottlenecks and various obstacles in our European transport network, minimize dependence on oil, reduce GHG emissions by 60% by 2050 compared to 1990 levels and encourage investment in new technologies and infrastructure that reduce EU transport emissions. The connection between the EU and North Africa causes high levels of congestion on the most critical points of the journey: the Spanish-French border, the Mediterranean corridor and Gibraltar Strait. In addition to this, the road transport sector is subject to increased market competition motivated by the elimination of European barriers, greater demands of shippers, greater restrictions on drivers and an increase in the price of diesel. On the other hand, the potential passenger market has a clear differentiation in type of flows: flows in the special period of the Crossing the Straits Operation (CSO), mainly focused on Moroccans who return home on vacation; and flows in the regular session, focused on the global mobile population. Therefore, what I want to achieve with this study is present an analysis of the current situation of freight and passengers to or from the Iberian Peninsula and their causes, as well as present research on the advantages of creating a maritime connection (Motorways of the Sea) with North Africa, based on the technical, administrative, economic, political, social and environmental conditions.