Semantic annotation of the web documents is the only way to make the Semantic Web vision a reality. Considering the scale and dynamics of worldwide web, the largest knowledge base ever built, it becomes clear that we cannot afford to... more
Semantic annotation of the web documents is the only way to make the Semantic Web vision a reality. Considering the scale and dynamics of worldwide web, the largest knowledge base ever built, it becomes clear that we cannot afford to annotate web documents manually. In this work we propose a generic domain-independent architecture for semi-automatic semantic annotation, basing on the lightweight and robust techniques, proven effective in source code processing for software analysis field. We demonstrate feasibility of our method applying it for annotation of the documents for Tourism domain. The results of this experiment are validated using a three-stage evaluation scheme.
Abstract. This paper presents the general objectives of the ONTOTEXT project (From Text to Knowledge for the Semantic Web), and the activities carried out during the first year of its development cycle. First, the task of annotating huge... more
Abstract. This paper presents the general objectives of the ONTOTEXT project (From Text to Knowledge for the Semantic Web), and the activities carried out during the first year of its development cycle. First, the task of annotating huge amounts of textual data (eg those available on the Web or in local document collections) will be introduced, focusing on its importance in order to enhance the interoperability of such data through ontology-based reasoning. Then, the main issues related to the annotation task will be discussed. These ...
We describe here a methodology to combine two different techniques for Semantic Relation Extraction from texts. On the one hand, generic lexico- syntactic patterns are applied to the linguistically analyzed corpus to detect a first set of... more
We describe here a methodology to combine two different techniques for Semantic Relation Extraction from texts. On the one hand, generic lexico- syntactic patterns are applied to the linguistically analyzed corpus to detect a first set of pairs of co-occurring words, possibly involved in "syntagmatic" relations. On the other hand, a statistical unsupervised association system is used to obtain a second set of pairs of "distribution ally similar" terms, that appear to occur in similar contexts, thus possibly involved in "paradigmatic " relations. The approach aims at learning ontological information by filtering the candidate relations obtained through generic lexico-syntactic patterns and by labelling the anonymous relations obtained through the statistical system. The resulting set of relations can be used to enrich existing ontologies and for semantic annotation of documents or web pages.
Satellite manufacturers and customers continue to trend toward higher power, duty cycle-driven components (high powered amplifiers) to get the most capability out of each small/CubeSat put in orbit. The result is more waste heat to... more
Satellite manufacturers and customers continue to trend toward higher power, duty cycle-driven components (high powered amplifiers) to get the most capability out of each small/CubeSat put in orbit. The result is more waste heat to manage, requiring engineers to develop a means of transferring or storing the energy without causing a substantial increase in thermal management system mass. Phase Change Material (PCM) heat sinks are being utilized by the industry as a solution to this challenge due to their fully passive operation and ability to reduce the mass of the thermal management system. PCM heat sinks for duty cycle applications are intended to absorb waste heat during operation, then utilize the dormant period of the orbit to fully dissipate the energy stored. This time-averaged dissipation allows the radiator panel to be designed for the average heat load rather than the peak value, resulting in significant surface area reduction in most applications. PCM heat sinks can also ...
This paper presents an integrated approach to textual resource retrieval, which combines logical inference services with user profiles, in which a structured representation of the user interests is maintained. Learning is performed on... more
This paper presents an integrated approach to textual resource retrieval, which combines logical inference services with user profiles, in which a structured representation of the user interests is maintained. Learning is performed on documents which have been disambiguated by exploiting the WordNet lexical database, in an attempt to discover concepts describing user interests. The proposed approach relies on several additional features compared to classical lexical knowledge systems, including: structured user recommendation, numeric value management, definition of strict and negotiable constraints and keywords to retrieve potential interesting resources w.r.t. both user request and profile.
Abstract—One of the main strength of the web is that it realizes the goal of allowing any party of its global community to share information with any other party. This has been achieved by making use of a unique and uniform mechanism of... more
Abstract—One of the main strength of the web is that it realizes the goal of allowing any party of its global community to share information with any other party. This has been achieved by making use of a unique and uniform mechanism of identification, the URI (Universal Resource Identifiers). Web applications such as search engines have been built up on this mechanism. Although URIs succeed when used for retrieving resources on the web, their suitability as a way for identifying any kind of things, for example resources that are not on ...
Abstract—This paper presents an integrated approach to textual resource retrieval, which combines logical inference services with user profiles, in which a structured representation of the user interests is maintained. Learning is... more
Abstract—This paper presents an integrated approach to textual resource retrieval, which combines logical inference services with user profiles, in which a structured representation of the user interests is maintained. Learning is performed on documents which have been disambiguated by exploiting the WordNet lexical database, in an attempt to discover concepts describing user interests. The proposed approach relies on several additional features compared to classical lexical knowledge systems, including: structured user ...
The JUMP project aims at bringing together the knowledge stored in dierent information systems in order to satisfy information and training needs in knowledge-intensive organisations. Electronic Per- formance Support Systems provide help,... more
The JUMP project aims at bringing together the knowledge stored in dierent information systems in order to satisfy information and training needs in knowledge-intensive organisations. Electronic Per- formance Support Systems provide help, advices, demonstrations, or any other informative support that a user needs to the accomplish- ment of job tasks in her day-to-day working environment. The paper describes the JUMP
This paper describes the results of the first step in the development of a comprehensive project aimed at re- alizing a portal and a set of advanced services supporting the sharing of knowledge about Prehistory and Protohistory in the... more
This paper describes the results of the first step in the development of a comprehensive project aimed at re- alizing a portal and a set of advanced services supporting the sharing of knowledge about Prehistory and Protohistory in the Italian context. In particular, one of these services is represented by a digital library, whose entries (i.e. bibliographic descriptions of publications)
In this paper we are presenting ongoing work on a software library for on-the-fly browsing of Semantic Web content that forms the informational context around an entity. This library is targeted to be integrated into user applications, to... more
In this paper we are presenting ongoing work on a software library for on-the-fly browsing of Semantic Web content that forms the informational context around an entity. This library is targeted to be integrated into user applications, to extend their range of functionalities in an easy-to-handle and unobtrusive way. We illustrate an application, give details on the implementation of a first prototype, and evaluate its feasibility.
In this paper we are presenting ongoing work on a software library for on-the-fly browsing of Semantic Web content that forms the informational context around an entity. This library is targeted to be integrated into user applications, to... more
In this paper we are presenting ongoing work on a software library for on-the-fly browsing of Semantic Web content that forms the informational context around an entity. This library is targeted to be integrated into user applications, to extend their range of functionalities in an easy-to-handle and unobtrusive way. We illustrate an application, give details on the implementation of a first prototype, and evaluate its feasibility.
According to the Singapore Framework, any development of a Dublin Core Application Profile (DCAP) has to include the creation of a domain model. DC Scholarly Works Application Profile (SWAP) was the first one explicitly using the... more
According to the Singapore Framework, any development of a Dublin Core Application Profile (DCAP) has to include the creation of a domain model. DC Scholarly Works Application Profile (SWAP) was the first one explicitly using the Functional Requirements for Bibliographic Records (FRBR) model in creating its domain model. FRBR has recently been extended with Functional Requirements for Authority Data (FRAD) and Functional Requirements for Subject Authority Data (FRSAD) thus forming the so-called FRBR family. This paper first further develops the SWAP domain model to incorporate the FRBR family models. Then a generalized FRBR-family-based DCAP domain model is presented to be used as the basis for specific domain application profiles.
In order to evaluate soil water content and water uptake by corn plant roots (Single cross 260) under different soil moisture and water salinity stresses using the agrohydrological Soil-Water-Atmosphere-Plant (SWAP) model, an experiment... more
In order to evaluate soil water content and water uptake by corn plant roots (Single cross 260) under different soil moisture and water salinity stresses using the agrohydrological Soil-Water-Atmosphere-Plant (SWAP) model, an experiment was conducted in 2015 at the green house of the Agriculture Research Center of Shahrood, Iran. The statistical model employed was a split plot based on a randomized complete block design with three replications. The main plots consisted of three levels of irrigation; 50 (I 1) (full irrigation as the control), 75 (I 2) and 100% (I 3) of Total Available Water (TAW) depletion while the sub-plots consisted of three levels of salinity of irrigation water; 2 (S 1), 4 (S 2) and 6 (S 3) ds.m-1. The results showed a good correspondence between the simulated soil moisture, water uptake and measured values. The normalized root mean square error (nRMSE) and the root mean square error (RMSE) values of the predicted soil moisture were 4.58 and 24.96 and for the water uptake by the roots were 23.37 and 35.48, respectively. The R 2 of coefficient of simulation for water uptake by roots in different treatments were 0.38 to 0.8. The dataset of the predicted and measured values were close to the 1:1 scale line for both soil moisture and water uptake. This study indicated that the SWAP model can be used as a powerful tool to simulate field water cycle and evaluate irrigation practices. Accordingly, taking into account the existing conditions of the region such as weather and soil type and preparing scenarios based on possible management options, management strategies can be optimized according to the results achieved for the SWAP model simulation.
FaceTag is a working prototype of a semantic collaborative tagging tool conceived for bookmarking information architecture resources. It aims to show how the widespread homogeneous and flat keywords' space created by users while... more
FaceTag is a working prototype of a semantic collaborative tagging tool conceived for bookmarking information architecture resources. It aims to show how the widespread homogeneous and flat keywords' space created by users while tagging can be effectively mixed with a richer faceted classification scheme to improve the “information scent” and “berrypicking” capabilities of the system. The additional semantic structure is aggregated both implicitly observing user behaviour and explicitly introducing a compelling user experience that facilitates the end-user creation of relationships between tags. To evaluate the real benefits introduced by this approach, preliminary user research on the initial prototype is outlined. Extensive evaluation and results will be discussed in a future paper.
Abstract. This paper presents the general objectives of the ONTOTEXT project (From Text to Knowledge for the Semantic Web), and the activities carried out during the first year of its development cycle. First, the task of annotating huge... more
Abstract. This paper presents the general objectives of the ONTOTEXT project (From Text to Knowledge for the Semantic Web), and the activities carried out during the first year of its development cycle. First, the task of annotating huge amounts of textual data (eg those available on the Web or in local document collections) will be introduced, focusing on its importance in order to enhance the interoperability of such data through ontology-based reasoning. Then, the main issues related to the annotation task will be discussed. These ...
The development of the Dublin Core Application Profiles (DCAPs) has been closely focussed on the construction of metadata standards targeted at specific resource types, on the implicit assumption that such a metadata solution would be... more
The development of the Dublin Core Application Profiles (DCAPs) has been closely focussed on the construction of metadata standards targeted at specific resource types, on the implicit assumption that such a metadata solution would be immediately and usefully ...
Abstract. This work presents a dissimilarity measure for an expressive Description Logic endowed with the principal constructors employed in the standard representations for ontological knowledge. In particular, the focus is on the... more
Abstract. This work presents a dissimilarity measure for an expressive Description Logic endowed with the principal constructors employed in the standard representations for ontological knowledge. In particular, the focus is on the definition of a dissimilarity measure for the ALC description logic based both on the syntax and on the semantics of the descriptions. The measure is shown to be applicable to assess the dissimilarity for cases involving individuals.
We present ontologydesignpatterns.org (ODP), a semantic web por- tal based on semantic wiki technology, that supports the community around best practices of ontology design. ODP provides services for ontology design pattern evaluation,... more
We present ontologydesignpatterns.org (ODP), a semantic web por- tal based on semantic wiki technology, that supports the community around best practices of ontology design. ODP provides services for ontology design pattern evaluation, training on ontology design, and a repository of reusable OWL ontolo- gies. We also present Evaluation WikiFlow, a (Semantic) MediaWiki extension that we have developed starting from the ODP requirement for pattern evaluation and certification support.
Abstract. From its first introduction in this same conference, the original prototype of the Semantic Bookmarking tool Semantic Turkey has undergone a deep and extensive revision process, breaking the boundaries of its original intents... more
Abstract. From its first introduction in this same conference, the original prototype of the Semantic Bookmarking tool Semantic Turkey has undergone a deep and extensive revision process, breaking the boundaries of its original intents and going more and more towards an extensible platform for Knowledge Management and Acquisition based on Semantic Web technologies. Following its recent official release, we discuss here the main innovations of this system, its potential applications and future plans for its improvement