New PDF release: Knowledge Engineering and Knowledge Management: 20th

By Eva Blomqvist, Paolo Ciancarini, Francesco Poggi, Fabio Vitali

This booklet constitutes the refereed lawsuits of the 20 th InternationalConference on wisdom Engineering and data administration, EKAW 2016,held in Bologna, Italy, in November 2016.
The fifty one complete papers awarded have been conscientiously reviewed and chosen from 171 submissions. The papers disguise all facets of eliciting, buying, modeling, and coping with wisdom, the development of knowledge-intensive structures and providers for the Semantic internet, wisdom administration, e-business, normal language processing,intelligent details integration, own electronic suggestions platforms, and quite a few different similar issues. a different concentration was once on "evolving knowledge", i.e., the effect of area and time on wisdom illustration, pertaining to all elements of the administration and acquisition of information illustration of evolving, contextual, and native models.

Show description

Read or Download Knowledge Engineering and Knowledge Management: 20th International Conference, EKAW 2016, Bologna, Italy, November 19-23, 2016, Proceedings PDF

Best engineering books

Get The Works: Anatomy of a City PDF

How a lot do you actually learn about the platforms that maintain a urban alive? The Works: Anatomy of a urban comprises every thing you ever desired to learn about what makes big apple urban run. in case you flick in your mild change the sunshine is going on--how? in the event you positioned out your rubbish, the place does it cross? if you happen to flush your rest room, what occurs to the waste?

Ion Boldea, Syed A. Nasar's The induction machine handbook PDF

Known as the workhorse of undefined, the appearance of strength electronics and advances in electronic keep watch over are reworking the induction motor into the racehorse of commercial movement regulate. Now, the vintage texts on induction machines are approximately 3 many years previous, whereas newer books on electrical vehicles lack the mandatory intensity and aspect on induction machines.

Download e-book for iPad: Computational Intelligence: for Engineering and by D. T. Pham, P. T. N. Pham, M. S. Packianather, A. A. Afify

Not like conventional computing, Computational Intelligence is tolerant of obscure details, partial fact and uncertainty. This booklet offers a specific choice of contributions on a centred therapy of significant components of CI, targeted on its key aspect: studying. the entire members of this quantity have direct bearing with this factor.

Additional info for Knowledge Engineering and Knowledge Management: 20th International Conference, EKAW 2016, Bologna, Italy, November 19-23, 2016, Proceedings

Sample text

Knowl. de Abstract. The paper presents an approach to extract knowledge from large text corpora, in particular knowledge that facilitates object manipulation by embodied intelligent systems that need to act in the world. As a first step, our goal is to extract the prototypical location of given objects from text corpora. We approach this task by calculating relatedness scores for objects and locations using techniques from distributional semantics. We empirically compare different methods for representing locations and objects as vectors in some geometric space, and we evaluate them with respect to a crowd-sourced gold standard in which human subjects had to rate the prototypicality of a location given an object.

In all proposed approaches, the use of background knowledge was a complementary solution to traditional automatic approaches. In this paper, we propose a novel approach to align ontologies using only a background knowledge built from heterogeneous mappings, the main idea is to combine the knowledge formalized in mappings produced manually by human experts, to mappings produced automatically by simple lexical matching to discover new mappings between the ontologies to be aligned. The main contributions of this paper are: – A novel approach to align ontologies using a background knowledge graph automatically built from existing mappings – A novel measure called Path Confidence Measure to select the most accurate from several candidates mappings derived from the previously built background knowledge graph.

For examples, WordNet is used in [20], DOLCE in [17]. The manual selection does not guarantee the enhancement of a given task of alignment, and requires a wide range of knowledge. For this purpose, several automatic approaches have been defined to select the appropriate BK as those described in [18,19]. The most similar work to this paper is done in [12]. Their approach consists in aligning the source and the target ontologies with each ontology in a set of intermediate ontologies. Then, compose the different produced alignments to derive mappings between source and target ontologies.

Download PDF sample

Rated 4.54 of 5 – based on 37 votes

About admin