def __init__(self, xmlcompatibility='db09'):
self.seqwrapper = HTMLSequenceWrapper(childcoef=7.0,
headercoef=3.0,
mintextlen=30)
self.citaextractor = CitationEntityExtractor(
ALL, xmlcompatibility=xmlcompatibility)
self.ee = EntityExtractor()
self.mime = MIMEhandler()
self.crawler = Crawler()
self.bibtex = BibTeXParser()
self.xmlcompatibility = xmlcompatibility
self._xmlvalid = int(xmlcompatibility.lstrip('db'))
self._publ_list = []
def __init__(self, xmlcompatibility='db09'):
self.seqwrapper = HTMLSequenceWrapper(childcoef=7.0, headercoef=3.0, mintextlen=30)
self.citaextractor = CitationEntityExtractor(ALL, xmlcompatibility=xmlcompatibility)
self.ee = EntityExtractor()
self.mime = MIMEhandler()
self.crawler = Crawler()
self.bibtex = BibTeXParser()
self.xmlcompatibility = xmlcompatibility
self._xmlvalid = int(xmlcompatibility.lstrip('db'))
self._publ_list = []
class PublicationListExtractor(object):
"""
PublPageMetaExtractor handles harvests metadata from web pages containing
references (publication list). For parsing sequences in HTML dom we use
extractors.sequencewrapper.HTMLSequenceWrapper. For parsing citations
(records in data regions, which were found by sequencewrapper) we use
extractors.citationentityextractor.CitationEntityExtractor.
To improve accuracy of this system, we check headers wheather they contain some
keyword, which could help us to determine the correct type of publication.
From headers we also harvest keywords.
"""
entitydefstr = {
'216': 'O',
'217': 'U',
'214': 'O',
'197': 'A',
'198': 'E',
'210': 'O',
'211': 'O',
'195': 'A',
'194': 'A',
'196': 'A',
'193': 'A',
'192': 'A',
'251': 'u',
'252': 'u',
'238': 'i',
'239': 'i',
'235': 'e',
'234': 'e',
'212': 'O',
'236': 'e',
'237': 'i',
'230': 'e',
'231': 'c',
'232': 'e',
'213': 'O',
'224': 'a',
'249': 'u',
'253': 'y',
'248': 'o',
'243': 'o',
'255': 'y',
'250': 'u',
'233': 'e',
'201': 'E',
'200': 'E',
'203': 'E',
'202': 'E',
'205': 'I',
'204': 'I',
'207': 'I',
'206': 'I',
'242': 'o',
'220': 'U',
'245': 'o',
'244': 'o',
'246': 'o',
'241': 'n',
'218': 'U',
'229': 'a',
'228': 'a',
'227': 'a',
'226': 'a',
'225': 'a',
'219': 'U',
'221': 'Y',
# these are added
'248': 'r',
'185': 's',
'174': 'Z',
'232': 'c',
'200': 'C',
'169': 'S',
'190': 'z',
'199': 'C',
'amp': '&',
'nbsp': ' ',
'quot': '\"'
}
def __init__(self, xmlcompatibility='db09'):
self.seqwrapper = HTMLSequenceWrapper(childcoef=7.0,
headercoef=3.0,
mintextlen=30)
self.citaextractor = CitationEntityExtractor(
ALL, xmlcompatibility=xmlcompatibility)
self.ee = EntityExtractor()
self.mime = MIMEhandler()
self.crawler = Crawler()
self.bibtex = BibTeXParser()
self.xmlcompatibility = xmlcompatibility
self._xmlvalid = int(xmlcompatibility.lstrip('db'))
self._publ_list = []
def _set_new_topic(self, publ, kw):
"""
This method adds new topic to publication.
"""
if not re.search("[a-z]{4,}", kw):
return publ
if re.search("publi|paper", kw, re.I):
return publ
t = RRSTopic(title=kw)
publ.set('topic', t)
return publ
def _set_publ_type(self, header, publ):
def _floor(i):
if i > 100: i = 100
return i
if header is None: return publ
# try to set publication type from header
for _type in RRSPublication.publication_types:
if re.search(_type, header, re.I):
if publ.get('type') == _type:
publ.set('credibility', _floor(publ.get('credibility')))
else:
publ.set('type', _type)
return publ
if re.search("dissertation", header, re.I):
publ.set('type', 'phdthesis')
return publ
if re.search('technical report', header, re.I):
publ.set('type', 'techreport')
return publ
# make keyword from header
return self._set_new_topic(publ, header)
def translate_html_entities(self, text):
ents = re.findall(r'&(#?)(x?)(\w+);', text)
for ent in set(ents):
try:
text = re.sub('&(#?)' + re.escape(ent[2]) + ";",
self.entitydefstr[ent[2]], text)
except:
pass
return text
def compare_chunks_to_extracted(self, chunks, publ):
if not publ.get('title'): return publ
title = self.translate_html_entities(publ.get('title'))
authors = publ.get('person_author')
author_names = [a.get('name')[0].get('full_name') for a in authors]
for ch in chunks:
l = ch.get_link()
# get chunk text
ch = self.translate_html_entities(ch.get_text())
# add url if available
if l is not None and not l.startswith("javascript") and l != "#":
u = RRSUrl(type='publication', title=ch, link=l)
publ.set('url', u)
# repair title if needed
if ch in title or ch == title:
if float(len(ch)) / float(len(title)) > 0.4:
publ.set('title', ch)
# repair names if needed
for a in author_names:
if a in ch:
authors_extracted = self.ee.find_authors(ch)
publ.person_author = authors_extracted[0]
break
return publ
def _fill_citation(self, publ):
c = RRSCitation()
c.set('content', self.cita_text)
if publ.get('event'):
c.set('event', publ.get('event')[0].get('title'))
return c
def _handle_bibtex_pages(self):
urls = {}
for i, p in enumerate(self._publ_list):
pub_u = p.get('url')
for u in pub_u:
urls[u.get('link')] = i
#if link is web page, not pdf
urls_to_download = []
content_types = self.mime.start(urls.keys())
for k in urls.keys():
if content_types[k] in ('text/html', 'application/xhtml+xml',
'application/x-httpd-php',
'text/javascript'):
urls_to_download.append(k)
# download page a try it for bibtex
pages = self.crawler.start(urls_to_download)
for u in urls_to_download:
bibtex = self.bibtex.parse(pages[u])
# if bibtex on page, set publication
if bibtex is not None:
self._publ_list[urls[u]] = bibtex
def _empty(self):
for x in range(len(self._publ_list)):
self._publ_list.pop()
self.cita_text = None
def _handle_document(self, doc):
self._empty()
# for all regions which were found
for reg in doc.get_regions():
# get their header
header = reg.get_name()
# for all records in region
for rec in reg._manual_process_page():
# create empty citation object
c = RRSCitation()
# harvest citation record text (probably citation we hope)
self.cita_text = self.translate_html_entities(rec.get_text())
# set the content of record to citation object
c.set('content', self.cita_text)
# fill object it wih extracted data
c = self.citaextractor.extract(c)
# get extracted publication
publ = c.get('publication_cited')
# if sequencewrapper extracted come text chunks, it helps us a lot,
# beacause we can compare extracted data to chunks and if not matched
# we can fix it
publ = self.compare_chunks_to_extracted(rec.get_chunks(), publ)
# insert citation into publication
# !!! we are extracting publications, not citations. Because we dont
# want tree like this: citation->publication but this:
# publication->citation
publ.set('citation', self._fill_citation(publ))
# try to find publication type in header of data region
publ = self._set_publ_type(header, publ)
# add to publication list
self._publ_list.append(publ)
#self._handle_bibtex_pages()
return self._publ_list
#---------------------------------------------------------------------------
# public methods
#---------------------------------------------------------------------------
def extract_data(self, tree, url):
"""
Main method for extracting publication metadata from page.
"""
# wrap html document
document = self.seqwrapper.wrap_h(tree, url)
# handle it and return the result
return self._handle_document(document)
class PublicationListExtractor(object):
"""
PublPageMetaExtractor handles harvests metadata from web pages containing
references (publication list). For parsing sequences in HTML dom we use
extractors.sequencewrapper.HTMLSequenceWrapper. For parsing citations
(records in data regions, which were found by sequencewrapper) we use
extractors.citationentityextractor.CitationEntityExtractor.
To improve accuracy of this system, we check headers wheather they contain some
keyword, which could help us to determine the correct type of publication.
From headers we also harvest keywords.
"""
entitydefstr = {'216': 'O', '217': 'U', '214': 'O', '197': 'A',
'198': 'E', '210': 'O', '211': 'O', '195': 'A', '194': 'A',
'196': 'A', '193': 'A', '192': 'A', '251': 'u', '252': 'u', '238': 'i',
'239': 'i', '235': 'e', '234': 'e', '212': 'O', '236': 'e', '237': 'i',
'230': 'e', '231': 'c', '232': 'e', '213': 'O', '224': 'a', '249': 'u',
'253': 'y', '248': 'o', '243': 'o', '255': 'y', '250': 'u',
'233': 'e', '201': 'E', '200': 'E', '203': 'E', '202': 'E', '205': 'I',
'204': 'I', '207': 'I', '206': 'I', '242': 'o', '220': 'U',
'245': 'o', '244': 'o', '246': 'o', '241': 'n', '218': 'U', '229': 'a',
'228': 'a', '227': 'a', '226': 'a', '225': 'a', '219': 'U', '221': 'Y',
# these are added
'248': 'r', '185': 's', '174': 'Z', '232': 'c', '200': 'C', '169': 'S', '190': 'z',
'199': 'C', 'amp': '&', 'nbsp': ' ', 'quot': '\"'
}
def __init__(self, xmlcompatibility='db09'):
self.seqwrapper = HTMLSequenceWrapper(childcoef=7.0, headercoef=3.0, mintextlen=30)
self.citaextractor = CitationEntityExtractor(ALL, xmlcompatibility=xmlcompatibility)
self.ee = EntityExtractor()
self.mime = MIMEhandler()
self.crawler = Crawler()
self.bibtex = BibTeXParser()
self.xmlcompatibility = xmlcompatibility
self._xmlvalid = int(xmlcompatibility.lstrip('db'))
self._publ_list = []
def _set_new_topic(self, publ, kw):
"""
This method adds new topic to publication.
"""
if not re.search("[a-z]{4,}", kw):
return publ
if re.search("publi|paper", kw, re.I):
return publ
t = RRSTopic(title=kw)
publ.set('topic', t)
return publ
def _set_publ_type(self, header, publ):
def _floor(i):
if i > 100: i=100
return i
if header is None: return publ
# try to set publication type from header
for _type in RRSPublication.publication_types:
if re.search(_type, header, re.I):
if publ.get('type') == _type:
publ.set('credibility', _floor(publ.get('credibility')))
else:
publ.set('type', _type)
return publ
if re.search("dissertation", header, re.I):
publ.set('type', 'phdthesis')
return publ
if re.search('technical report', header, re.I):
publ.set('type', 'techreport')
return publ
# make keyword from header
return self._set_new_topic(publ, header)
def translate_html_entities(self, text):
ents = re.findall(r'&(#?)(x?)(\w+);', text)
for ent in set(ents):
try:
text = re.sub('&(#?)'+re.escape(ent[2])+";", self.entitydefstr[ent[2]], text)
except: pass
return text
def compare_chunks_to_extracted(self, chunks, publ):
if not publ.get('title'): return publ
title = self.translate_html_entities(publ.get('title'))
authors = publ.get('person_author')
author_names = [a.get('name')[0].get('full_name') for a in authors]
for ch in chunks:
l = ch.get_link()
# get chunk text
ch = self.translate_html_entities(ch.get_text())
# add url if available
if l is not None and not l.startswith("javascript") and l != "#":
u = RRSUrl(type='publication', title=ch, link=l)
publ.set('url', u)
# repair title if needed
if ch in title or ch == title:
if float(len(ch))/float(len(title)) > 0.4:
publ.set('title', ch)
# repair names if needed
for a in author_names:
if a in ch:
authors_extracted = self.ee.find_authors(ch)
publ.person_author = authors_extracted[0]
break
return publ
def _fill_citation(self, publ):
c = RRSCitation()
c.set('content', self.cita_text)
if publ.get('event'):
c.set('event', publ.get('event')[0].get('title'))
return c
def _handle_bibtex_pages(self):
urls = {}
for i, p in enumerate(self._publ_list):
pub_u = p.get('url')
for u in pub_u:
urls[u.get('link')] = i
#if link is web page, not pdf
urls_to_download = []
content_types = self.mime.start(urls.keys())
for k in urls.keys():
if content_types[k] in ('text/html', 'application/xhtml+xml',
'application/x-httpd-php', 'text/javascript'):
urls_to_download.append(k)
# download page a try it for bibtex
pages = self.crawler.start(urls_to_download)
for u in urls_to_download:
bibtex = self.bibtex.parse(pages[u])
# if bibtex on page, set publication
if bibtex is not None:
self._publ_list[urls[u]] = bibtex
def _empty(self):
for x in range(len(self._publ_list)):
self._publ_list.pop()
self.cita_text = None
def _handle_document(self, doc):
self._empty()
# for all regions which were found
for reg in doc.get_regions():
# get their header
header = reg.get_name()
# for all records in region
for rec in reg._manual_process_page():
# create empty citation object
c = RRSCitation()
# harvest citation record text (probably citation we hope)
self.cita_text = self.translate_html_entities(rec.get_text())
# set the content of record to citation object
c.set('content', self.cita_text)
# fill object it wih extracted data
c = self.citaextractor.extract(c)
# get extracted publication
publ = c.get('publication_cited')
# if sequencewrapper extracted come text chunks, it helps us a lot,
# beacause we can compare extracted data to chunks and if not matched
# we can fix it
publ = self.compare_chunks_to_extracted(rec.get_chunks(), publ)
# insert citation into publication
# !!! we are extracting publications, not citations. Because we dont
# want tree like this: citation->publication but this:
# publication->citation
publ.set('citation', self._fill_citation(publ))
# try to find publication type in header of data region
publ = self._set_publ_type(header, publ)
# add to publication list
self._publ_list.append(publ)
#self._handle_bibtex_pages()
return self._publ_list
#---------------------------------------------------------------------------
# public methods
#---------------------------------------------------------------------------
def extract_data(self, tree, url):
"""
Main method for extracting publication metadata from page.
"""
# wrap html document
document = self.seqwrapper.wrap_h(tree, url)
# handle it and return the result
return self._handle_document(document)
